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Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Be Challenged and Make a Difference In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. Description of Task to be Performed: AnaVation is seeking an experienced cloud engineer to join our high- performing team. This work is onsite in Quantico, VA. You'll keep a complex hybrid environment running for a mission enterprise application that people depend on every day to do their jobs. That covers AWS commercial accounts, a GitLab CI/CD pipeline across dev, test, and prod, and on-prem hardware that you'll maintain from the rack up. This is an on-site role, with hybrid options available once you've established yourself on the team. What You'll Do Maintain and improve AWS commercial infrastructure using infrastructure as code Run and troubleshoot CI/CD pipelines in GitLab across dev, test, and prod environments Keep multiple environments stable, consistent, and working as expected Rack, swap, and maintain on-prem servers Patch and update on-prem Debian-based Linux systems Support monitoring and logging so issues are caught before users notice them This position requires regular on-site presence in Quantico, VA. Applicants who do not currently reside within commuting distance to this location should describe how they would satisfy any onsite requirements. This position requires an active Top Secret clearance and the ability to obtain SCI accesses with a CI polygraph. Required Qualifications: 3 to 5 years of experience in cloud or relevant systems engineering Active TS/SCI clearance, and willingness to complete a CI polygraph Hands-on experience building and maintaining AWS infrastructure with infrastructure as code Experience with CI/CD pipelines across multiple environments Hands-on experience maintaining physical servers Experience administering and patching Debian-based Linux and Windows systems Preferred Qualifications: Terraform ICAM experience AWS Certified Solutions Architect, Associate or higher GitLab CI Containers (Docker, Kubernetes, EKS) Scripting (Python, Bash) Monitoring and logging tools Ansible Atmos Benefits Generous cost sharing for medical insurance for the employee and dependents 100% company paid dental insurance for employees and dependents 100% company paid long-term and short-term disability insurance 100% company paid vision insurance for employees and dependents 401k plan with generous match and 100% immediate vesting Competitive Pay Generous paid leave and holiday package Tuition and training reimbursement Life and AD&D Insurance About AnaVation AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team. If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Please note: The listed salary range reflects our market-based compensation structure. Final compensation will depend on business needs, local market conditions, internal equity, and the selected candidate's skills, education, and experience.

Vast is developing next-generation space stations and space infrastructure using an incremental, hardware-rich, and low-cost approach. Vast is rapidly developing its multi-module Haven Station to ensure a continuous human presence in space for America and its allies, enabling advanced microgravity research and manufacturing, and unlocking a new space economy for government, corporate, and private customers. Haven Demo's 2025 success made Vast the only operational commercial space station company to fly and operate its own spacecraft. Next, Haven-1 is expected to become the world's first commercial space station when it launches in 2027, followed by additional Haven modules. Additionally, the company recently announced Vast Satellite , a high-power satellite product line leveraging its space station components and the heritage of Haven Demo. Headquartered in Long Beach, California , and with more than 1,000 employees and over a billion dollars in private capital, Vast has built the facilities required to manufacture and operate America's next space station. The company plans to develop future habitats and systems for the Moon and Mars, dedicated space stations for government partners, and other crewed systems that will unlock the expanding long-term space economy. Vast is looking for a Senior Infrastructure Engineer , reporting to the Manager, IT Infrastructure , to support the development of the systems that will be required for the design and build of human-rated space stations. In this role you will have the opportunity to build a modern IT infrastructure from the ground up. We build our systems cloud-first, with an emphasis on researching and deploying the latest technologies and paradigms. This will be a full-time, exempt position located in our Long Beach location. Responsibilities Independently design, build, and maintain complex, highly available, secure, and cost-optimized systems in AWS, Kubernetes, and Linux/Windows server environments Write high-quality infrastructure-as-code and automations to make systems reliable and easier to maintain Act as technical lead for infrastructure projects. Set the roadmap and pacing, break work into milestones and tasks, and coordinate work among team members Provide quality support for your systems. Respond urgently to issues and identify root causes to prevent recurrence Minimum Qualifications 5+ years of experience designing, deploying, and managing enterprise IT infrastructure Proficiency with public cloud systems (AWS, Azure, GCP) Experience with infrastructure as code, including terraform, gitops, ansible, and/or puppet Broad IT expertise, can integrate infrastructure with networking, security, DevOps, and software development Preferred Skills & Experience Experience with self-hosted AI systems, AI agents, and Model Context Protocol (MCP) platforms Experience writing Lambdas and scripts to automate configuration and recurring tasks Understanding of networking protocols and infrastructure (BGP, VPNs, DNS, DHCP) Experience working with ITAR, NIST, FIPS, and FedRAMP compliant systems Excellent written and verbal communication. You can explain technical concepts to people unfamiliar with them and gather requirements from cross-functional partners Additional Requirements Willingness to work overtime, or weekends to support critical mission milestones Pay Range: California $146,000—$208,000 USD We calibrate level and compensation to the selected candidate's experience and demonstrated capability. We welcome applicants across a range of experience levels to apply. Compensation And Benefits Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand. Salary is just one component of our comprehensive compensation package. Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: medical, dental, and vision coverage for employees and dependents, generous paid time off; up to 20+ days of vacation for exempt staff and up to 10+ days of vacation for non-exempt staff with the ability to cash-out unused vacation annually, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee & onsite barista, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast's ongoing commitment to providing high-quality meals for employees. EQUAL OPPORTUNITY Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Company Description Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more. Job Description Vericast is seeking a Cloud Engineer to support and operate our Microsoft Azure and Microsoft 365 platforms. This role is responsible for the engineering, administration, and continuous improvement of enterprise cloud and identity services, including Azure Virtual Desktop (AVD), Microsoft Entra ID, M365 email systems, and emerging AI capabilities such as Microsoft Copilot and Copilot Studio. This is a hands-on engineering role , not a pure architecture position. The ideal candidate will have strong technical depth and the ability to design, build, troubleshoot, and operate cloud and identity solutions in a production environment. Key Responsibilities Azure Platform Engineering Design, implement, and support Azure-based infrastructure and services Operate and optimize Azure Virtual Desktop (AVD) environments Ensure platform scalability, availability, and cost efficiency Implement and maintain infrastructure as code (e.g., Terraform, Bicep, ARM templates) Identity & Access Management Administer and support Microsoft Entra ID (Azure AD) Design and maintain: Single Sign-On (SSO) Conditional Access policies Identity lifecycle and governance processes Integrate enterprise applications with identity solutions (e.g., SailPoint or similar platforms) Microsoft 365 Platform Support and manage Microsoft 365 services, including Exchange Online and email integrations Troubleshoot issues across Azure, Entra ID, and M365 services Implement and support security and compliance controls across the M365 platform AI & Copilot Enablement Support and operationalize Microsoft Copilot and Copilot Studio Assist with integration of Copilot into enterprise workflows and business applications Provide technical support and troubleshooting for AI-enabled productivity tools Operations & Support Serve as an escalation point for complex platform and identity issues Perform root cause analysis and implement long-term remediation Monitor platform health, performance, and security posture Excellent communicator both written and verbal. Partner with cross-functional teams to deliver integrated cloud and identity solutions Qualifications Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent combination of education and work experience. Experience 3+ years of professional experience in software engineering, application development, systems engineering, or a related technical field. Experience developing, modifying, supporting, and maintaining business applications and systems. Experience participating in cross-functional projects and delivering technology solutions in a business environment. Experience estimating technical work efforts and supporting solution delivery. Additional Information Base Salary Range: $80,000 - $140,000 (Based on verified experience) Applications will be accepted until the posted deadline November 25, 2026 or until a sufficient candidate pool has been identified. The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities. Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers! What We Believe At Vericast, we believe what's good for people is good for business. Everything we do starts from a place of purpose to drive meaningful impact for our clients, our people and our communities. We've cultivated a culture of collaboration, a heritage of innovation and a focus on workplace flexibility. Every day you will have the opportunity to bring your passion and expertise to create opportunities to grow and thrive. Together, let's advance performance for all. At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Deposits team of Consumer & Community Banking Division, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead Live Site Management and cloud production management practices, including production readiness, change governance, incident response, problem management, and operational risk reduction. Define and improve SRE practices, including service-level indicators, service-level objectives, error budgets, capacity planning, and reliability engineering. Advance observability across applications and infrastructure through effective logging, metrics, distributed tracing, dashboards, alerting, and automated anomaly detection. Drive major incident response, root-cause analysis, corrective actions, and the systematic elimination of recurring production issues. Establish production health, availability, performance, and resiliency measures that provide actionable insight to engineering and business leadership. Promote team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation. Shape the end-to-end AWS cloud architecture strategy across all product components ; Strengthen cloud cost strategy and optimization across the product. Advance the resiliency strategy, including multi-region, active-active, failover/failback, and disaster recovery. Evolve the automation and infrastructure-as-code strategy ; Mature AI integration across engineering and product workflows. Raise the bar on shared architectural standards and decision-making across teams ; Sharpen how complex technical strategy is distilled into leadership-facing narratives. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Deep, broad AWS expertise across compute, data, networking, security, and observability, with proven production architecture experience. Systems thinking, including the ability to reason about trade-offs, failure modes, and dependencies across an entire product. Strategic command of cost, scalability, automation, reliability, and AI integration as connected levers. Hands-on depth to validate and prototype ideas, not just advise. Executive communication and rigorous, independent judgment in a regulated, high-stakes environment. Proven experience managing cloud-hosted production services and leading Live Site Management practices in complex, business-critical environments. Strong SRE and observability expertise, including SLI/SLO definition, error budgets, telemetry, distributed tracing, alert design, capacity management, and performance engineering. Demonstrated ability to lead high-severity incident response, perform root-cause analysis, and drive durable remediation across multiple engineering teams. Experience establishing production readiness standards, operational controls, runbooks, dashboards, and measurable service health objectives. Demonstrated experience leading effective use of approved AI-assisted software development tools, with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. About Us Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

At Bellota Labs , we are a fast-paced, hypergrowth startup poised to revolutionize the gaming world with ClubWPT Gold —a groundbreaking product from the World Poker Tour . Driven by innovation, game integrity, and exceptional customer experiences, we are on a mission to set new standards in online gaming. We are seeking an experienced Senior Site Reliability Engineer (SRE) to design, build, and maintain highly reliable, scalable, and secure systems. You will play a critical role in ensuring system availability, performance, and operational excellence across our infrastructure and applications. As a senior member of the team, you will also mentor engineers, influence architecture decisions, and drive best practices in reliability engineering, automation, and incident management. Key Responsibilities: Reliability & Availability Design and implement highly available, scalable, and fault-tolerant systems Define and maintain SLIs, SLOs, and SLAs Lead incident response, root cause analysis (RCA), and postmortems Improve system resiliency and reduce operational toil through automation Observability & Monitoring Design monitoring, alerting, and logging strategies Implement tools such as Prometheus, Grafana, Datadog, ELK, or similar Establish proactive alerting and capacity planning processes Performance & Scalability Conduct performance testing and optimization Identify bottlenecks and implement improvements Support system scaling initiatives and architecture reviews Collaboration & Leadership Partner with engineering teams to embed reliability into development processes Lead reliability initiatives and cross-functional projects Mentor junior engineers and promote SRE best practices Experience: 5+ years of experience in SRE, DevOps, or Infrastructure Engineering Strong experience with cloud platforms (AWS) Deep understanding of Linux systems and networking fundamentals Experience with containerization and orchestration (Docker, Kubernetes) Proficiency in scripting/programming (Python, Go, Bash, or similar) Experience with monitoring and observability platforms (Datadog/Prometheus) Preferred Technologies (Nice to Have): Experience operating high-scale production systems Experience with microservices architecture Background in database reliability (Postgres, MySQL, Redis, etc.) Experience implementing SRE practices (error budgets, blameless postmortems) Experience with AI-driven SRE Lead High-Impact Projects – Play a key role in delivering innovative gaming experiences to a global audience Collaborate Across Borders – Work with talented teams across Asia and the US Fast-Paced Growth – Be part of a hypergrowth startup with ambitious goals Competitive Benefits – Enjoy a top-tier compensation package in a dynamic company We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. California-Employee-Privacy-Notice 10.16.2026

As a Lead Applied AI Site Reliability Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of high-visibility products and platforms and the environments they run in. Your expertise will be pivotal in keeping production safe, performant, and cost-effective, while driving tangible value for Deloitte's engineering investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across cloud platform engineering, observability, and performance and reliability engineering-together with applied AI fluency that lets you reliably operate AI and agentic workloads alongside the rest of the portfolio-consistently demonstrating your exemplary track record in operating high-quality, resilient systems at scale. The ideal candidate will be a role-model leader and mentor, collaborating with cross-functional teams to set production standards, safeguard environments, and admit systems into production with confidence. Work You'll Do: Outcome-Driven Accountability: Embrace and drive a culture of accountability for reliability, performance, and cost outcomes, measured in service-level objectives and error budgets, not raw uptime. Operate the products, platforms, and environments you support to meet their SLOs within budget, and track incident trends and toil to prioritize the work that most improves reliability-ensuring high-quality, lean operational designs that keep production safe and resilient. Technical Leadership and Advocacy: Serve as the technical advocate for production reliability and operability, ensuring systems are admissible, performant, safe to run, and able to degrade gracefully when failure occurs. Set production standards, lead the design of observability, performance and resilience testing, and operational tooling, and own the admission of systems into production-gating release on error budgets and automated reliability checks, and owning the readiness verification, environment integrity, and operational support that follow. Engineering Craftsmanship: Maintain accountability for the operational integrity of production and pre-production environments, and for the production standards that systems are admitted against. Own SLOs and error budgets; build and operate production observability-codified, version-controlled dashboards and SLO-driven, actionable alerting that detects before impact, plus the feedback loop into engineering; run performance, ambient-noise, and chaos testing to verify readiness; and guard environments against drift. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks-operating as an infrastructure-focused engineer, not a tool operator. Create technical specifications, runbooks, and shared playbooks; lead blameless postmortems that turn incidents into learning and systemic fixes; write high-quality, supportable automation; and review the work of other engineers, mentoring them, to ensure all reliability KPIs (availability, performance, and cost) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean operational solutions through rapid, inexpensive experimentation to meet the reliability needs of the engineering teams and the business. Engage with those teams before, during, and after delivery, co-defining service-level objectives and operational readiness so the right safeguards are in place at the right time, without becoming a bottleneck to delivery. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, hardening reliability through incremental, measurable improvements-progressive resilience testing and SLO refinement-rather than big-bang interventions, and keeping operations supportable and maintainable. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional partners: engineering, platform engineering, security and risk, data governance, and engineering leadership and architecture. Set production standards and integrate their constraints so that the reliable, performant, and compliant path is the operative path. Co-define service-level objectives with the teams you support, verify readiness, and own the admission decision into production-holding the segregation-of-duties line as a dedicated, embedded function while partnering with security and risk on the control objectives you enforce. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in site reliability and modern production engineering-cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering-together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Be a role model, leveraging these techniques to optimize reliability, performance, and operational delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain knowledge of the products and platforms you operate-and, where they are AI-infused, their distinct production failure modes such as drift, train/serve skew, latency and output variance, and token/GPU cost anomalies. Translate reliability needs, reference architectures, and operational requirements into service-level objectives, runbooks, and production tooling. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Qualifications Required: A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor. 6+ years of software engineering and site reliability engineering experience operating large-scale, distributed, cloud-native systems in production, with experience in most of the following: Python, Go, Bash, Java, C#/.NET, SQL/NoSQL, Kubernetes, Terraform, ArgoCD, as well as CI/CD and observability stacks. 3+ years of experience in site reliability or production engineering for large-scale systems-defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging-e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk. 3+ years of experience with cloud-native engineering and cloud platform ownership on any of the cloud hyperscalers such as Azure, AWS, or GCP-including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI-plus container orchestration (Kubernetes, Docker), infrastructure-as-code, networking, and multi-environment management. 1+ years of experience establishing reliability and operational standards-SLO discipline, runbooks, and performance and resilience budgets-including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards. Prior experience operating AI/ML and agentic workloads in production-their reliability failure modes (drift, train/serve skew, output variance), MLOps/LLMOps, and the AI control plane (model/LLM gateway, guardrails) from the operability and performance side. Prior experience with load and performance testing under simulated production traffic (e.g., LoadRunner, k6, or JMeter), chaos engineering (e.g., Azure Chaos Studio, AWS Fault Injector), capacity planning, autoscaling, and cloud/AI cost engineering (FinOps tooling/dashboards, including GPU/inference and token cost attribution). Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development. Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to operate high-quality, resilient platforms and products at scale Ability to travel 10%, on average, based on the work you do and products you build. Limited immigration sponsorship may be available Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Candidates must be located within a commutable distance to one of the select locations available for this role. Ability to work in your local office at a minimum of 3 days per week. Due to the nature of the work being performed, must be a U.S. Citizen. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $188,500.

Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. Responsibilities Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. Qualifications We expect you to have real depth in most of these: Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. A track record of leading production incidents and turning root-cause analysis into durable fixes. You own problems end-to-end and do well when the path forward isn't laid out for you. Additional Experience We Value Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. GitOps and progressive delivery: Argo CD, Flux, or similar. Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile. Compensation Range: $220K - $405K

Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. Responsibilities Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. Qualifications We expect you to have real depth in most of these: Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. A track record of leading production incidents and turning root-cause analysis into durable fixes. You own problems end-to-end and do well when the path forward isn't laid out for you. Additional Experience We Value Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. GitOps and progressive delivery: Argo CD, Flux, or similar. Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile. Compensation Range: $220K - $405K

"In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it." — Dr. Jim Rebesco, Cofounder and CEO, Striveworks The government's demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it. Striveworks was built to solve that problem. What you'll build Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. As a Senior DevOps Engineer based at Schofield Barracks, you will own what you deploy. That means maintaining, optimizing, and enhancing the environments that national security customers depend on. You'll deploy custom K8s clusters, manage IaC automation, and serve as the operational link between platform developers and customer-facing teams. In this role, you will bring junior DevOps teammates along as you go, and you will have the latitude to explore better solutions when you find them. What it's like here We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice. What we're looking for 6+ years of direct, hands-on experience in: Microservices deployment in Kubernetes Diagnosing and resolving issues within containerized environments Helm Chart and Kustomizations development/deployment Python and/or Golang programming, or other general purpose programming languages Automation and IaC, e.g., Terraform Cloud infrastructure: AWS and Azure Managing and troubleshooting Linux systems, e.g., networking and bash scripting Active Secret (or above) US security clearance and US citizenship The following isn't required, but we'd love to see it: Experience with DOD networking, tools, infrastructure, security requirements, and policies Proficiency with US federal information system security policies including STIGs, NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503 Experience with software deployments to unclassified, CUI, and classified DOD networks Experience with DevSecOps and CI/CD for GPU-enabled server administration and deployment Experience deploying or maintaining CNCF projects Experience with NAS and SAN technologies Experience with K8s and cloud-native applications in DDIL environments This role is hybrid/on site at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel. Compensation The anticipated base pay range for this position is $220,000–$270,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses. Benefits include: Medical/dental/vision insurance Voluntary life, long-term disability, accident, and hospital indemnity insurance HSA and FSA (including dependent care FSA) plans 401(k) plan Unlimited PTO Paid parental leave Ready to build systems that work for a mission that matters? Let's talk. Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us . In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is looking for an experienced Staff DevOps Engineer to augment our team. This position can be based in Aurora, CO, Morrisville, NC or Sacramento, CA. Primary Responsibilities Responsible for planning and evolving processes and infrastructure to execute programs supporting rapid capability maturation and deployment. Integrates development pipelines leveraging automation with test-driven development tools and continuous integration/test frameworks. Define and implement the build, deployment, provisioning, and monitoring standards for the program. Ensures implementation of Software Configuration Management (SCM), code quality, and code coverage with automated testing for Continuous Integration/Continuous Delivery (CI/CD) pipelines. Work as part of an Agile development team to deliver end-end automation of deployment, monitoring, and infrastructure management framework. Build and configure delivery environments supporting CD/CI tools using an Agile delivery methodology. Create scripts and/or templates to automate infrastructure provisioning and management tasks. Work closely with development teams to create an automated continuous integration (CI) and continuous delivery (CD) system. Work together with vendors and other IT personnel for problem resolution Monitor and support all installed systems and infrastructure. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks. Contribute to the design of information and operational support systems. Install, configure, test and maintain operating systems, application software and system management tools. Oversee the company's security, backup, and redundancy strategies. Evaluate application performance, identify potential bottlenecks, develop solutions, and implement them with the help of developers. Basic Qualifications United States Citizenship is required to be considered. Must have an active U.S. Government Top Secret security clearance at time of application, current and within scope, with the ability to obtain and maintain SCI approval/access. Must have an active U.S. Government CI Polygraph at time of application, current and within scope. Bachelor's degree with 12 + years of relevant experience; 10 years with a Master's; 8 years with a PhD; or 9 additional years of experience in lieu of a degree. Must have all of the following: AWS, Kubernetes, Terraform Current Security+, certification Administration experience with Linux or related operating systems. Experience in an Agile software development framework Preferred Qualifications Experience with at least 3 of the preferred qualificat ions Terraform Kubernetes administration AWS administration Flux Helm DynamoDB NATS configuration Big Bang (Grafana, Prometheus, Loki) Jenkins/GitLab/Bamboo #COSpace #SpaceSoftwareJobs #SPEnhancedERAP Primary Level Salary Range: $169,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Expedia, Inc.'s Layla AI Team is looking for a Senior Mobile Engineer (Flutter) to help create cross-platform mobile experiences that make travel planning more intuitive and enjoyable. In this role, you'll build and improve features for travelers using Layla, working across iOS and Android to turn product ideas into reliable, polished experiences. About The Company Expedia, Inc. is a global travel company that connects travelers with the people, places, and experiences that matter to them. Through its brands and technology platforms, the company helps customers discover, plan, and book travel. Expedia's teams work across a broad range of products and services, bringing together technology, data, and travel expertise to support customers throughout their journeys. The Layla AI Team focuses on applying conversational and AI-powered experiences to travel planning. The team brings together engineering, product, and other specialists to develop useful, accessible tools that help travelers explore options and make informed decisions. About The Role As a Senior Mobile Engineer, you'll take ownership of mobile features from early technical discovery through implementation, testing, release, and ongoing improvement. You'll use Flutter to deliver consistent experiences across iOS and Android while considering the specific requirements and behaviors of each platform. You'll partner closely with product managers, designers, backend engineers, and other collaborators to shape solutions, clarify requirements, and deliver work that meets user and business needs. The role also includes contributing to mobile architecture, improving engineering practices, and supporting the responsible integration of AI and machine learning capabilities. You'll help monitor performance and quality after release, using feedback and technical insights to guide improvements. Qualifications You bring substantial experience building and maintaining mobile applications, including strong hands-on expertise with Flutter and Dart. You understand cross-platform development and can make sound decisions about shared implementations, platform-specific behavior, and maintainable application architecture. Your experience includes delivering production software and working through the full development lifecycle. You are comfortable with automated testing and quality practices, and have experience contributing to continuous integration and continuous delivery workflows. You can investigate performance issues, evaluate technical trade-offs, and use monitoring or diagnostic information to improve reliability. You communicate clearly with both technical and nontechnical partners, collaborate effectively across disciplines, and can take ownership of complex work with appropriate independence. Experience mentoring engineers or guiding technical decisions is valuable. Familiarity with integrating backend services and incorporating AI or machine learning capabilities into user-facing products is also beneficial. Responsibilities Design, develop, test, and maintain high-quality Flutter features for Layla's iOS and Android applications. Own assigned work end to end, from technical planning and implementation through release, monitoring, and iteration. Collaborate with product, design, backend, and other engineering partners to translate traveler needs into clear, intuitive mobile flows. Contribute to mobile architecture and establish patterns that support maintainable, secure, and scalable development. Build and improve automated tests, participate in code reviews, and strengthen CI/CD practices. Monitor application performance and reliability, identify issues, and implement improvements. Integrate with backend services and contribute to responsible AI/ML-powered experiences. Share knowledge, provide technical guidance, and mentor teammates as appropriate. Benefits Expedia, Inc. offers eligible employees a range of benefits and programs designed to support wellbeing, professional development, and work-life needs. Benefit availability and details may vary by location, role, and employment status. The position also offers the opportunity to contribute to a high-impact product, work with a collaborative cross-functional team, and help shape mobile experiences for travelers around the world. Equal Opportunity Expedia, Inc. is committed to providing equal employment opportunities. Employment decisions are made without regard to characteristics protected by applicable law. The company welcomes applicants with diverse backgrounds and experiences and is committed to an inclusive workplace. Reasonable accommodations are available during the application process and for employees who need them to perform essential job functions.