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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Supply Chain and Manufacturing teams are making the technology of the future a reality. We handle all production processes and supplier development strategies: from contracts and purchasing, to designs for improved manufacturing, through quality control and delivery. We collaborate actively with Waymo engineering teams as well as external suppliers and partners to make sure everything is built to spec and delivered on time to meet the rising demands of our business. This role follows a hybrid work schedule and reports to the Head of Silicon & Compute Strategic Sourcing. You will: Develop Category & Technology Strategy: Architect and execute multi-year sourcing strategies across key EE commodities (processors, custom ASICs/SoCs, PMICs, analog & mixed-signal ICs, passives, photonics/sensors, connectors, and high-density interconnect PCBs) aligned with Waymo's technical roadmap. Lead Commercial Negotiations : Drive all aspects of supplier negotiation, including market intelligence,  pricing, supply agreements, and contracts (SOWs/MSAs/HSAs/MPAs), to ensure best-in-class cost, quality, and supply assurance. Manage Supplier Performance: Build and maintain strong relationships with suppliers, leading regular business reviews to align on strategy, manage performance, lead various audits, and drive continuous improvement. Drive Cost & Risk Management : Own the Total Cost of Ownership (TCO) for your commodities. Develop should-cost models (present/forward looking), lead cost-reduction programs, and proactively identify and mitigate supply chain risks (e.g., capacity constraints, EOL). Act as a Cross-Functional Partner : Serve as the central commercial owner and a core partner to Engineering and Product teams, guiding complex sourcing decisions and technology selections to help achieve the needed goals for Waymo. A solid candidate will have the have the ability to understand technical datasheets and specifications as well as knowledge of manufacturing process controls and quality assurance Make it happen: We need a problem solver who sees a commercial, technical, communications, or negotiations challenge and sees an opportunity. As a startup we need critical thinkers who are not afraid of learning a new skill to solve a problem. Thrive in ambiguity: Often our space requires out of the box thinking and the "ask" might not be 100% clear, we need someone who can get to the root of the need quickly and solve. Be able to work in an evolving AV and semiconductor market and achieve our goals. Be able to communicate effectively internally and externally from execs to working level. You have: 8+ years of experience in EE or custom silicon commodity management Deep experience in should costing, silicon manufacturing, and the semiconductor ecosystem Bachelor's degree in EE Engineering and/or equivalent experience or evidence of exceptional ability.  Ability to multitask, prioritize and work in an extremely fast-paced environment  Ability to travel up to 20% of the time including International travel Strong communication, negotiation, presentation and analytical skills are required.   Proficient with excel or Google sheets.  Problem solving skills collaborating with cross-functional teams (Engineering, quality, manufacturing. We prefer: Prior work experience at Apple, Google, Meta, Amazon or Tesla as an EE GSM Hands on experience with foundries, IDMs, ASIC, memory, or EDA/IP firms Masters in Electrical Engineering degree is a plus Working knowledge of Tier-1 Contract Manufacturer / EMS engagement models (e.g., Quanta, Foxconn, Jabil, Flex) regarding component pass-through pricing and consigned inventory. Experience with APAC supplier base Travel Requirement: 20% including International Travel     The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $200,000 — $247,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.  We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.  The core challenge within Model Lifecycle is accelerating Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is exploding, and our models are becoming more complex, handling more and more tasks. This team is critical to controlling that complexity. Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! This internship will be based on-site at our headquarters in Mountain View, CA. You Will: Own an end-to-end ML project: form a hypothesis, build the dataset, train and evaluate models, and analyze the results. Design and run experiments that measure how training data choices (curation, mining, balancing, labeling) affect Perception model quality. Build and refine datasets from large-scale multi-sensor driving data (camera, lidar, radar). Train and evaluate Perception models with Waymo's existing training and evaluation tooling. Develop metrics and analyses that explain where models fail and which data would fix those failures. Share findings with ML engineers and research scientists, and help land the results in production model training. You Have: Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Robotics, or a related field. Hands-on experience training and evaluating deep learning models in JAX, PyTorch, or TensorFlow. Hands-on experience with the data side of ML, such as building datasets, data curation, labeling, or data quality analysis. Strong programming skills in Python. Ability to design controlled experiments and draw sound conclusions from quantitative results. We Prefer: Experience on an end-to-end ML project where you owned both the data and the model. Research or industry experience in data-centric ML, such as data selection, active learning, data valuation, or curriculum learning. Experience with perception tasks such as 3D detection, tracking, segmentation, or multimodal (camera and lidar) models. Experience processing large datasets with distributed tools such as Apache Beam, Spark, or Dataflow. Publications at ML or computer vision venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV). Passion for data-centric AI and autonomous driving. Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

Blend is a diverse team of problem solvers who believe that the world's financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters.   Business Automation Engineer As a Business Automation Engineer, you'll partner with teams across the company to rethink and refactor how work gets done. You'll find manual and repetitive processes and then design and build automations to improve the quality of work and day-to-day business life of our internal partners. We're focused on deploying efficient and adaptable automations that actually solve problems.   As one of the first members of the team, you'll help build the foundation for a scalable hub of automations and integrations, using both off-the-shelf products and custom code where appropriate. You'll help shape the workflows that make our team an effective and reliable partner for bringing business processes into an automated, AI-augmented world. You'll work closely with security and IT leadership from the beginning to ensure the team's foundations and, therefore, the rest of the company's internal automation efforts are secure, auditable, and built to last.   How You'll Contribute Partner with business stakeholder to understand workflows and triage high-impact automation opportunities. Business, build, and deploy automations across various SaaS tooling, internal systems, and APIs. Leverage AI and agentic patterns when it adds value to business operations workflows and recognize when simpler, more deterministic solutions are the better choice.  Build with a secure-by-default mindset, including the incorporation of access controls, secrets management, logging, and the proper handling of sensitive information. Establish team patterns and culture, including documentation, testing, and ongoing operational maintenance. Be willing to tinker, iterate, and improve existing systems as we gain more context and mastery over the business environment.   Who You Are 3+ years of experience building integrations, internal tooling, or automations in a business or operations setting. Proficient in at least one scripting language (Python, Javascript, or similar) and/or a general purpose programming language (Typescript, Go, Rust, or similar). DevOps-minded engineer familiar with infrastructure-as-code tools (Ansible, Terraform, GitHub Actions, containers, etc.). Hands-on experience building with LLMs and creating agentic workflows (prompting, tool use and curation, benchmarking evaluations, guardrails, etc.). Experience with workflow or integration platforms (Workato, Zapier, n8n, or similar). Proactive and pragmatic. Able to translate business processes into effective automations.   Bonus Qualifications Experience with cloud platforms (AWS, GCP) and serverless or containerized deployments. Hands-on experience with Kubernetes. Familiarity with common business systems, such as NetSuite, Salesforce, Workday, Freshservice, and HR tooling. Background in security, compliance, or working within a regulated or controlled environment.    Compensation: Base Salary Range: $124,000 – $145,000 (This applies to full time hires. Final offer determined by multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience.) Bonus (if applicable):  Eligibility is contingent upon both company performance against established goals and achievement of individual performance objectives. Equity :  Meaningful Restricted Stock Units in public company stock (NYSE: BLND) so you share in Blend's long-term growth and success. Our Benefits at a Glance We offer a comprehensive and competitive benefits package designed to support your health and work-life balance. Health & Wellbeing We offer medical, dental, and vision benefits, with a generous employer contribution that helps keep your medical insurance costs low. Company-paid life, short-term, and long-term disability coverage Generous PTO, holidays, and maternity/parental leave Employee Assistance Program (EAP): mental health, legal, childcare & eldercare, financial planning, college search, and more Voluntary benefits: accident, critical illness, hospital indemnity, identity theft, and legal insurance Monthly wellness stipend for fitness, mental health, and well-being Additional perks: Milk Stork, pet insurance, and paid volunteer time off Growth & Future 401(k) retirement plan with company match Pre-tax savings: healthcare & dependent care FSAs, Limited Purpose FSA, and HSA

At Asana, security is foundational to our mission of helping humanity thrive by enabling the world's teams to work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats and fostering a culture of security throughout our product and operations. We're looking for a Product Security Engineer to join our Product Security team in Warsaw. You'll be a foundational member of the security presence in a key engineering hub, partnering directly with product and infrastructure teams to ensure we design and ship secure software. You will be instrumental in scaling our security practices by building secure-by-default frameworks, eliminating entire classes of vulnerabilities, and championing a security-first mindset across our web, mobile, and AI-powered product surfaces. 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 Partner with product and engineering teams across the full software development lifecycle to ensure security is designed and built into Asana's products and platform. Conduct security architecture reviews, threat modeling, and code reviews for new features and services. Develop, implement, and maintain secure-by-default frameworks and libraries that empower engineering teams to build secure systems easily. Build and maintain automated security tooling (static and dynamic analysis rules, custom SAST/DAST checks, and automated red-teaming) to scale security coverage without scaling headcount. Identify and address AI-specific security risks such as prompt injection, insecure tool permissions, and abuse-resistant design in Asana's AI and agentic features. Triage, investigate, and drive remediation of vulnerabilities from our bug bounty program, internal testing, and automated security tooling. Influence engineering initiatives by conducting design and roadmap reviews, effectively communicating security constraints, and assisting teams in making informed trade-offs. Investigate product security incidents as a subject matter expert, using logs and monitoring tools to contain, analyze, and drive resolution. Evaluate and improve software supply chain security, including dependency management, SCA tooling, and third-party risk in the development pipeline. Develop and deliver training to educate engineers on secure coding best practices and emerging threats. Stay informed of industry trends, emerging threats, and best practices to ensure that Asana's security posture remains robust. Collaborate with teammates and stakeholders to develop both short-term and long-term strategies for risk management. About you 5+ years of experience in application security, product security, or software engineering with a security focus. Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala. Deep working knowledge of the OWASP Top 10 and common web application vulnerabilities such as XSS, CSRF, SSRF, and SQL injection. Familiarity with AI/ML security concepts, including LLM-specific risks such as prompt injection and agentic attack surfaces. Experience with security tools for static/dynamic analysis (SAST/DAST), software composition analysis (SCA), and vulnerability management. Experience performing security design reviews and threat modeling for complex applications. Excellent communication skills for collaborating effectively with both technical and non-technical partners. A pragmatic and collaborative mindset, with a passion for building defenses against real-world attacks and enabling other engineers to do their best, most secure work. Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author's rights usage in respect of applicable roles) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card 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 per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid 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.

InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our office or remotely in the United States. What You'll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We're Looking For Minimum Qualifications: 10+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Strong coding skills in Go (Golang), Python, C, C++, or Rust Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning Demonstrated experience owning infrastructure in Linux, Kubernetes, and at least one major cloud provider (AWS, GCP, or Azure) Preferred Qualifications: Practical experience with eBPF-based security tooling (Cilium, Falco, Tetragon) Direct ownership of Cloud Security and Workload Identity platforms Multi-cloud expertise spanning AWS, Azure, and GCP Production exposure to low-level Linux security mechanisms (seccomp, AppArmor, SELinux, cgroups) About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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 federal, state or local laws. Req ID: 2263171228 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $151,000 — $297,000 USD

The MongoDB Documentation team is a group of writers and engineers who develop and maintain the documentation for the MongoDB product family. Our goal is to help our readers, both humans and AI, successfully use MongoDB products by providing outstanding documentation. The MongoDB Documentation team is a part of the MongoDB Core Product organization and is tightly integrated with the engineering teams responsible for each product.  The Docs team is responsible for documenting all aspects of the MongoDB data platform including the database, query language, Atlas, Vector Search, VoyageAI models, Full-Text Search, Stream Processing, client libraries, administrative tools, connectors, and more. Your AI-forward mindset coupled with strong writing and technical skills will create clear reference docs and tutorials on high-complexity features. Your work, along with the other two MongoDB Docs teams, support AI agents, answer engines, and a large global community of new and experienced MongoDB users. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. Candidate Profile: Candidates must have experience in a technical writing, technical communications, developer relations, or similar role in the software industry. Beyond industry experience, we are looking for someone who: Has experience writing technical documentation from scratch in English Possesses strong critical reading and writing skills Has hands-on experience using AI tools to accelerate documentation work Leverages sound editorial judgment to evaluate AI-generated content against source material for technical accuracy Has experience with cloud and database technologies Is able to read code for technical examples in at least one programming language (e.g., C++, C#, Java, Python, JavaScript) Has experience testing and validating documentable features and concepts Position Expectations: Advocate for users in everything you write Work with technical and non-technical teams to meet the documentation needs of our users Research complex product features and validate with diligent testing Produce technically accurate and well-written documentation Contribute feedback to the team through copy review and planning discussions Success Measures: In 3 months: You'll be comfortable with our toolchain, AI tooling, and writing workflow You can implement small to medium complexity documentation requests You're getting to know our server engineers and are getting comfortable with participating in intra and inter team discussions You've completed the required technical training and courses required for MongoDB Engineering In 6 months: You are getting comfortable doing deep dives into database architecture and technology as part of feature documentation You've got a working knowledge of the MongoDB data platform and know who to follow up with when you need to learn more You've adapted to our style of writing and your work demonstrates technical writing best practices You begin reviewing the work of your peers and learning from it You and your manager have discussed your career trajectory and growth opportunities You've helped the team improve and establish effective, well-vetted AI-assisted workflows for drafting and review In 12 months: You're creating consistently high quality documentation for entire feature sets, complex tutorials, and high level concepts You know how much work you can manage and are contributing at a healthy pace You provide quality copy and technical reviews for your team members You provide best practices and coaching on AI-assisted workflows for your team members About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 3273561980

MongoDB Pre-Sales Solutions Architects are technical business advisors who help customers design, justify, and adopt reliable, scalable systems using MongoDB's data platform. They own the technical strategy across complex opportunities—from discovery and qualification through architecture, proof of value, executive alignment, and successful adoption—and connect technical decisions to measurable business outcomes. You'll partner closely with Account Executives, Sales Leadership, Customer Success, Professional Services, and ecosystem partners to shape multi-threaded account strategies, build champions, de-risk complex architectures, and drive expansion. You'll serve as a trusted advisor to developers, architects, operations leaders, and business executives, helping organizations modernize legacy systems, build AI-powered applications, and realize measurable value from MongoDB. . We are looking to speak to candidates who are based in Singapore for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to lead architecture reviews for complex, multi-component applications and platforms, identifying risks, evaluating trade-offs, and providing clear guidance to modernize, optimize, and de-risk the solution Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to partner with Sales Leadership and Account Executives on multi-threaded account and territory strategies, prioritize opportunities, constructively challenge assumptions, and align MongoDB and ecosystem resources around measurable customer and business outcomes Demonstrated ability to connect technical recommendations to customer business drivers, measurable outcomes, ROI/TCO, and clear success criteria Experience leading conversations with senior technical and business stakeholders, including executives, and influencing long-term modernization, data, and AI strategies Demonstrated ability to create reusable reference architectures, demos, playbooks, or enablement content that improves the effectiveness of other Solutions Architects The ability to travel up to 25% A Bachelor's degree or equivalent work experience You may also have: Experience selling databases and/or deploying applications with any of the major cloud providers  Experience with database programming and data models  Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message A MongoDB Certification A Cloud Provider Certification What you do at MongoDB: In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will: Design and Architect: Own the end-to-end technical strategy for complex opportunities, designing scalable and performant applications, systems, and infrastructure leveraging MongoDB. Lead architecture reviews, evaluate trade-offs, and reduce technical risk across cloud, on-premises, and hybrid environments. Customer Advising and Value Articulation: Lead discovery with technical and business stakeholders to understand customer priorities, business drivers, and success measures. Guide customers on architecture, modernization, optimization, and AI patterns while clearly connecting MongoDB's capabilities to measurable business value. Sales Partnership: Partner with Account Executives and Sales Leadership on account planning, opportunity prioritization, qualification, and pipeline-generation strategy. Own the technical aspects of the sales cycle—including discovery, demonstrations, proof of value, proposals, sizing, ROI/TCO analysis, presentations, and documentation—and constructively challenge assumptions when needed. Executive and Stakeholder Engagement: Build trusted relationships with architects, developers, operations leaders, and executives across multiple teams and workloads. Develop champions, navigate stakeholder dynamics, and maintain strategic relationships beyond individual sales opportunities. Demand Generation: Proactively generate demand within the sales territory through technical workshops, executive briefings, user groups, webinars, industry events, account-based marketing activities, and other self-driven initiatives. Customer Success: Define clear technical success criteria and help customers achieve adoption, reduce risk, and accelerate time-to-value. Foster strong customer relationships and support successful modernization, migration, and AI initiatives. Innovation, Enablement, and Improvement: Create reusable reference architectures, demos, playbooks, and technical content that scale the impact of the Solutions Architecture organization. Relay structured field feedback to Product and Engineering, mentor other Solutions Architects, and continuously improve MongoDB solutions and engagement practices. Personal Training and Development: Engage in ongoing training and professional development to stay at the forefront of MongoDB's product suite, cloud-native architectures, AI and RAG patterns, data security, observability, and relevant industry trends. What you will learn: MongoDB Data Platform: Apply deep knowledge of MongoDB, Atlas, Atlas Search, Atlas Vector Search, Atlas Stream Processing, Atlas Data Lake, Charts, and Relational Migrator to customer use cases. Modern Application Architectures: Design cloud-native, distributed, highly available, secure, and observable systems across hyperscaler, on-premises, hybrid, and multi-cloud environments. AI and Application Modernization: Help customers modernize legacy systems and build AI-powered applications, including retrieval-augmented generation, vector search, real-time data, and event-driven architectures. Customer and Commercial Leadership: Develop executive communication, discovery, objection handling, value articulation, ROI/TCO analysis, and multi-threaded account strategy skills. Organizational Impact: Build reusable technical assets, share field insights, mentor peers, and contribute to the broader Solutions Architecture community. About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 3273561478

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You'll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We're Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or Rust. Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure. Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning. Demonstrated experience owning infrastructure in Linux, Kubernetes, and at least one major cloud provider (AWS, GCP, or Azure) Preferred Qualifications: Practical experience with eBPF-based security tooling (Cilium, Falco, Tetragon) Direct ownership of Cloud Security and Workload Identity platforms Multi-cloud expertise spanning AWS, Azure, and GCP Production exposure to low-level Linux security mechanisms (seccomp, AppArmor, SELinux, cgroups) About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.   With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software.   Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.    To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world!   MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.   MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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 federal, state or local laws.   Req ID: 1273374882 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $126,000 — $248,000 USD

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You'll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We're Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or Rust. Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure. Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning. Demonstrated experience owning infrastructure in Linux, Kubernetes, and at least one major cloud provider (AWS, GCP, or Azure) Preferred Qualifications: Practical experience with eBPF-based security tooling (Cilium, Falco, Tetragon) Direct ownership of Cloud Security and Workload Identity platforms Multi-cloud expertise spanning AWS, Azure, and GCP Production exposure to low-level Linux security mechanisms (seccomp, AppArmor, SELinux, cgroups) About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.   With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software.   Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.    To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world!   MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.   MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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 federal, state or local laws.   Req ID: 1273374882 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $126,000 — $248,000 USD

Who You Are You are a seasoned security professional with a deep passion for uncovering vulnerabilities and improving product security through technical assessments and hands-on penetration testing. You pride yourself on being able to execute sophisticated security tests, identify issues, and implement pragmatic solutions, all while keeping the customer experience central. You enjoy working collaboratively across teams and have the ability to communicate complex technical concepts in a clear, approachable manner. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB's security, both security of the products themselves and the security features we offer to customers. The team is responsible for assessing the security of our products including MongoDB Atlas Cloud , Ops Manager , Kubernetes Operator , and the MongoDB Server ( Community and Enterprise editions). Our team provides assurance that new MongoDB products and features are built to meet our customers' high security needs through rigorous threat modeling, code analysis, and penetration testing. The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects our customers and their data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The Product Security team: Conducts rigorous penetration testing and security assessments of MongoDB products Develops and deploys advanced AI tooling and modern automation to enhance assessment efficiency and workflows Works closely with Product and Engineering teams to advocate for security best practices and remediate vulnerabilities Builds a developer-driven security program where there is tight integration between engineering artifacts, process, and tooling Uses software architecture and coding patterns to reduce the impact of security issues Role Responsibilities As a Product Security Engineer specializing in security assessments, your responsibilities will include: Leading the evolution of our internal security and assessment processes by leveraging AI-based analysis to enhance threat modeling, penetration testing workflows, and assessment efficiency Conducting deep-dive penetration tests and hands-on security assessments of MongoDB products, including architecture reviews, threat modeling, static/dynamic code analysis, and vulnerability exploit verification Researching, prototyping, and executing new attack vectors and techniques to strengthen our defensive measures Collaborating closely with engineering teams to advocate security best practices and to remediate identified vulnerabilities Recommending secure coding patterns, container security measures, and secrets management strategies to strengthen our products Partnering with product development teams to ensure secure delivery across cloud environments, applications, and systems Coordinating closely with the red team and detection functions and processes to address potential security incidents or implement new defensive or monitoring capabilities Requirements 7+ years of experience in application security, product security or penetration testing roles, including manual and automated approaches Proven expertise in product security assessment techniques such as threat modeling, penetration testing, red teaming, and secure code reviews Some programming and scripting skills, with familiarity in one or more languages such as Python or Golang Hands-on experience with one or more major cloud providers (AWS, GCP, Azure) Experience leading threat modeling workshops and discussing security issues with engineers Comfortable explaining and communicating technical concepts and findings to both technical and non-technical audiences Demonstrated ownership of security initiatives, with the ability to deliver results autonomously or collaboratively Working knowledge of large-scale distributed systems and container technologies (e.g., Kubernetes, Docker) Knowledge of security tools and frameworks for cloud and application security Success in This Role Looks Like Driving improvements in MongoDB's product security through end-to-end ownership of security assessments Guiding and mentoring the team through the technological evolution of our security assessment processes using modern AI capabilities Proactively uncovering vulnerabilities and presenting actionable recommendations to engineering teams Building trust and establishing yourself as a key security partner within the organization Growing MongoDB's security capabilities and contributing to innovative solutions that enhance customer trust and product robustness About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions 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 federal, state or local laws. Req ID: 3273577529 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $126,000 — $248,000 USD

The MongoDB Documentation team is a group of writers and engineers who develop and maintain the documentation for the MongoDB product family. Our goal is to help our readers, both humans and AI, successfully use MongoDB products by providing outstanding documentation. The MongoDB Documentation team is a part of the MongoDB Core Product organization and is tightly integrated with the engineering teams responsible for each product. We are hiring a Manager Technical Writer to guide the creation of world-class documentation for the MongoDB data platform. You will use your leadership skills to manage and grow a talented team of writers, prioritize and plan documentation projects, and influence the strategic vision for the MongoDB docs. Your AI-forward mindset coupled with strong writing and technical skills will guide production of clear reference docs and tutorials on high-complexity features. Your team's work, along with the other two MongoDB Docs teams, support AI agents, answer engines, and a large global community of new and experienced MongoDB users. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. Candidate Profile Candidates must have extensive technical writing experience and 2+ years of experience managing a team of technical writers, developer advocates, or other technical communications-focused roles. Beyond that, we are looking for someone who: Is passionate about developing writing expertise on a team through reviews and mentorship Has experience prioritizing and planning documentation projects Works collaboratively with other documentation leaders and writers Grew a technical writing team through interviewing, hiring, and onboarding talented writers Has hands-on experience using AI tools to accelerate documentation work Leverages sound editorial judgment to evaluate AI-generated content against source material for technical accuracy Possesses strong critical reading and writing skills Has experience with cloud and database technologies Is able to write code for technical examples in at least one programming language (e.g., C++, C#, Java, Python, JavaScript). Comfortable reading and interpreting code Position Expectations Lead a technical writing team with opportunity for team growth Integrate with a highly collaborative, globally distributed group of documentation leaders to build a strong cross-functional documentation team Work cross-functionally with Engineering, Product, Design, Developer Relations, and Product Marketing to ensure the documentation meets the needs of our users Guide the team's adoption of AI-assisted research, writing, and review workflows, ensuring quality and technical accuracy remain high Foster a positive and effective team culture Develop the writing, testing, and technical skills of the team through coaching Contribute feedback to the team through copy review and planning discussions Collaborate with Engineering and Product on the team's roadmap Interview and hire talented writers for all areas of the MongoDB Docs team Advocate for users in everything your team produces Produce technically accurate and well-written documentation when time permits In 3 months: You've met with all of your team members and are starting to learn their interests, strengths, and areas for development You've become comfortable with our toolchain, AI tooling, and writing workflow You're getting to know our partners in Engineering and Product Management You're getting comfortable with participating in intra and inter team discussions You've completed any required technical and leadership training required for the MongoDB Product team In 6 months: You review your team's work and are using their writing to learn more about the MongoDB data platform You've adapted to our style of writing and instill technical writing best practices in team members' work You have worked with each team member to develop a growth plan tailored to their career goals You and your manager have discussed your career trajectory and growth opportunities You've developed a working knowledge of MongoDB's products and know who to follow up with when you need to learn more You've helped the team improve and establish effective, well-vetted AI-assisted workflows for drafting and review In 12 months: You're actively guiding the team to produce consistently high quality documentation for enterprise architectures, entire feature sets, complex tutorials, and high level concepts You know how much work your team can manage and are delivering content at a healthy pace You provide expert copy and technical reviews for your team members You provide best practices and coaching on AI-assisted workflows for your team members About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.  To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 3273561820

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. About the Role We are looking for a Systems Engineer to help build and manage tools that help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a reliable and flexible platform to help product teams release new software efficiently and safely. The role includes both software engineering and operational responsibilities. Responsibilities Design and build scalable and resilient systems that can keep up with company growth. Design and build developer productivity tooling. Harden the platform against security threats and resource contention issues. Improve our development systems and practices. Improve the efficiency of managing resources such as CPU, bandwidth and storage. Work with application teams to understand their potential challenges and help them choose the best way to architect their systems. Drive initiatives that make our engineers happier and more productive. Help respond and prevent incidents impacting core platforms. Desirable Skills, Knowledge, and Experience Demonstrable professional experience building and managing large-scale distributed systems or Linux production environments. Proficiency in at least one systems programming or scripting language (e.g., Go, Rust, C/C++, Python) with a track record of writing clean, maintainable code. Experience managing containerized workloads at scale using Kubernetes, Docker, or similar orchestration platforms. Experience with CI/CD pipelines and automated testing strategies for infrastructure. Source control experience including branching, merging and rebasing. Strong analytical and troubleshooting skills, with a methodical approach to diagnosing complex system-level failures. Bonus Points Experience with configuration management and infrastructure-as-code tools (e.g., Ansible, Terraform, SaltStack). Deep understanding of Linux/Unix operating system internals (e.g., storage subsystems, memory management) and core networking protocols (TCP/IP, DNS). Contributions to open-source systems software projects or active participation in the broader systems engineering community. What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.