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At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Capacity Modeling team ensures Affirm can safely handle forecasted traffic—especially during peak sales events—by translating demand forecasts into concrete, testable capacity plans. They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays · You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor's degree in a related field.   Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $153,000 - $213,000. Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. This posting is for an existing vacancy. #LI Remote  Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. In our hybrid early career program, you'll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! About the Risk & Analytics Team: The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm's business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges from optimizing checkout conversion and mitigating fraud risk, to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. Our Teams (Where You Might Sit): We are hiring multiple Early Career Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, machine learning models,  performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing and Payments: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As an Early Career Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions. You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights. You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently. What You Will Do Derive Insights & Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies. Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members. Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models. Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies. Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite. AI Fluency & Efficiency: Integrate AI tools (Cursor, Claude Code, copilots) into your daily workflows to accelerate data mining and routine tasks, holding the line on verifying outputs. What We Look For Currently pursuing a Bachelor's degree or higher with an expectation that you will complete your most recent full-time degree program by August 2027 or earlier; relevant internships or prior experience in the consumer lending, fintech, or broader financial services industry are highly valued. Degree in Data Science, Computer Science, Engineering, Economics, Statistics, Math or a related quantitative field preferred. Working knowledge of SQL, Python, or other scripting languages. Familiarity with data mining, data visualization, and foundational statistical modeling. Basic understanding or deep curiosity about consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems. Exceptional communication skills, humility, and the ability to collaborate effectively. Pay Grade - I Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.  Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay range (CA or NY) per year: $115,000  #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Billing powers Elastic's Cloud business. It runs across AWS, GCP, and Azure in over 50 regions. We oversee usage-based metering, consumption billing, and marketplace integrations at global scale. The Billing Core team owns the data layer that makes billing correct, auditable, and automated. We work across two areas: Usage — Collect and process usage and cost data. This data is the foundation of our billing and financial reporting. Engine — Turn hourly usage data into customer invoices and revenue records. We are looking for a Senior Software Engineer to join the Billing Core team. You will take ownership of key systems, solve complex problems with minimal guidance, and help raise the bar for engineering quality on the team. You will work closely with Product, SRE, and Cloud Infrastructure teams. What You Will Be Doing : Own and improve billing data pipelines for usage ingestion, transformation, and reconciliation. Design and build reliable, scalable backend services in Python, with a focus on correctness and data integrity. Take ownership of PostgreSQL schema design and query performance for billing data. Lead small to medium projects end-to-end — from design to delivery — within the team. Improve observability and reliability of core billing systems through better monitoring, alerting, and incident response. Participate in code and design reviews. Be a trusted reviewer for your area of the stack. Mentor junior engineers through feedback, pairing, and design discussions. Work with Product and Tech Leads to help shape priorities and technical direction. Take part in on-call rotations and contribute to production readiness. What You Bring : 5+ years in backend engineering, with solid skills in Python and PostgreSQL (schema design, query tuning, reliability). Experience building and operating data pipelines or event-driven systems in a production environment. Solid understanding of distributed systems and how to build for reliability and scale. Background in cloud infrastructure (AWS, GCP, or Azure) — networking, monitoring, and deployment basics. Strong judgment in technical trade-offs. You can work through ambiguous problems and deliver well-thought-out solutions. Good communication skills. You write clearly and speak up in discussions to share your perspective. Experience with SaaS billing, metering, or financial systems is a plus. Comfortable working in a global, distributed, async environment. Track record of using AI to speed up development, debug complex systems, and improve code quality — while owning the outcomes. Eligible to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.   Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100 — $210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900 — $252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100 — $210,600 USD The typical starting salary range for this role in the select locations listed above is: $159,900 — $252,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: 307 800 zł — 486 900 zł PLN Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  The typical starting salary range for new hires in this role is listed below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $128,300 — $203,000 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000 — €106.000 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search Analytics company, is seeking a dynamic Mid-Market Account Executive. To excel as an Account Executive at Elastic , you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. We are seeking a Mid-Market Account Executive dedicated to 100% net-new revenue generation . In this role, you will own the full sales cycle—from cold outreach to close—focused entirely on acquiring new logos in an assigned territory. If you excel at navigating new organizations and demonstrating the value of advanced search technology to stakeholders, this is your opportunity to drive our next phase of growth. What You Will Be Doing Drive Adoption: Fuel the adoption of Elastic's AI-powered search solutions, Observability and Security solutions within new Mid-Market accounts while deepening engagement with existing ones. Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. Solve Complex Problems: Move beyond simple transactions to address the intricate data challenges our customers face. Champion Open Source: Articulate the value of our advanced commercial features while advocating for our Open-Source offerings. Identify New Use Cases: Showcase how Elastic's solutions enable users to work more efficiently and intelligently. Strategic Planning: Develop comprehensive business plans leveraging community, customer, and partner ecosystems to drive significant territory growth. Navigate Sales Cycles: Proactively identify new opportunities and successfully manage complex sales cycles. Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. What You Bring The Right Blend: A combination of high-level technical curiosity and the grit of a value-based seller. Proven Track Record: Success in SaaS subscription sales in Mid -Market accounts, evidenced by overachievement. Mindset: Pure focus on acquiring new logos with a record to prove it.  Value Storytelling: The ability to craft tailored narratives that link Elastic's technical capabilities (Search, Observability, Security) to measurable business outcomes like revenue gain or risk mitigation is critical. Executive negotiation & closing: Lead high-stakes contract and pricing discussions Technical & cloud fluency: Comfortable discussing a broad range of technical topics including security, observability, vector/traditional search, and cloud cost optimization. Relationship Building: Adept at establishing credibility with both technical developers and executive leadership. Mutual deal strategy & forecast accuracy: Consistent, predictable and accurate sales forecasting skills. Collaborate with customers to build formal close plans and keep your CRM up to date. Ability to create alignment across teams to accelerate deals AI Mindset: Use new technologies for performance advantage and deal structuring Open-Source Appreciation: Enthusiasm for the Open-Source model and the community relying on our solutions. If you're driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we'd love to talk. Apply today! Compensation for this role is in the form of base salary plus a variable component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting On-Target Earnings range (Base Salary + Variable) for this role is: €135.200 — €213.900 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We're especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana's infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana's long-term vision for storage reliability. Debug production issues across the stack. Yes, there's an on-call rotation – but this isn't a pager monkey role. You're here to fix things properly and make sure they don't break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you're comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you're only comfortable with scripting, this isn't the right role . We're looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You'll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.