Senior Software Engineer - Release Engineering

Job Application for Senior Software Engineer - Release Engineering at Everlaw Back to jobs Senior Software Engineer - Release Engineering Oakland, California, United States Apply Everlaw is evolving its release infrastructure to support a future where AI agents actively participate in deployments. We are looking for a hands-on Senior Software Engineer to build, optimize, and harden the pipelines, data models, and APIs that make this possible. This is an execution-heavy, software engineering role, not a “keep the lights on” position maintaining legacy tooling. You will be writing code, tuning Gradle/Bazel builds, debugging CI flakes, and implementing the specific API endpoints that allow both humans and agents to interact with our infrastructure safely. You will build the high-performance plumbing that powers our transition to an agent-ready platform. At Everlaw, engineering is central to our mission of promoting justice by illuminating truth. Our customers rely on us to handle mission-critical, highly confidential data in commercial and FedRAMP-regulated environments, and our release infrastructure is a key part of that trust. This is a full-time, on-site position located in Oakland, California with an expected hybrid schedule of 3 days/week in the office and 2 days/week at home. Getting started We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals. We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1. About the Release Team The Release team in Platform Engineering owns the “path to production” for the entire Everlaw engineering organization. We are responsible for: The Build: Managing compilation and packaging for our large JVM monorepo and related services. The Pipeline: Operating the CI/CD systems that validate and promote changes across FedRAMP and commercial environments. The Future: Making the release platform “agent ready.” That means refactoring our infrastructure to be deterministic, API-driven, and structurally transparent so AI agents can reason about changes without hallucinating, and can act within well-defined safety guardrails. You’ll work closely with Product Engineering, Security Engineering, and our emerging AI/Agentic DevEx efforts to make shipping changes to Everlaw faster, safer, and more automatable. In your role, you'll... Modernize and Scale Core CI/CD and Build Performance Your first mandate is to make our existing release platform fast, reliable, and observable. Reduce build and test times: Dive deep into Gradle/Bazel configurations and our Java build graph to improve cache hit rates, parallelism, and resource utilization for our monorepo. Increase signal quality: Systematically identify and eliminate flaky tests and unstable infrastructure in our CI pipelines so that a “green build” is a highly trustworthy signal. Automate compliance: Build automations that generate FedRAMP and other audit artifacts from our pipelines (e.g., change logs, approvals, evidence of controls), reducing manual toil while improving our compliance posture. Measure what matters: Instrument CI/CD and release workflows with metrics and dashboards for latency, reliability, cost, and failure modes, and drive concrete improvements from those insights. Evolve Toward Automated & Agentic Workflows Full AI agent integration is a longer-term goal. As we mature our release platform, you’ll help lay the groundwork for “agent-ready” infrastructure by: Improving data hygiene: Gradually shifting logs and build outputs from unstructured text toward structured, traceable formats, making debugging easier for humans now and enabling future automation. Encouraging API-first operations: When building new tools or refactoring pipelines, leaning toward clear, idempotent APIs instead of ad‑hoc “click‑ops” or one‑off scripts, so we reduce toil today and keep the door open for safe orchestration later. Strengthening automated guardrails: Supporting efforts to replace purely human-dependent review steps with policy and safety checks in code, speeding up releases now and defining the boundaries future automation must respect. Improving machine-friendly observability: Helping ensure that build and release failures emit clear, parsable signals instead of opaque “red builds,” enabling better automated triage over time. Execute on Infrastructure as Code Own release infrastructure as code: Use tools like Terraform and Helm to define and evolve the infrastructure that powers our builds and deployments (runners, clusters, queues, controllers, supporting services). Maintain and scale environments: Manage configuration drift, health, and scaling of our pre-production and production deployment targets, with a focus on safety and repeatability. Enable safe, frequent deployments: Help design and roll out deployment strategies (e.g., blue/green, canary, feature-flag-driven rollouts) that balance rapid delivery with reliability across multiple environments, including regulated contexts. Support ephemeral environments: Design and support PR- or feature-scoped ephemeral environments for safe, isolated validation of changes (including agent-generated changes), building on existing environment primitives. Participate in on-call: Join an on-call rotation for critical release and platform incidents, and help improve runbooks, automation, and post-incident learnings. Lead, Mentor, and Collaborate Lead multi-developer efforts: Drive complex projects end-to-end: scoping, technical design, execution, rollout, and post-launch improvements in partnership with your Engineering Manager and peers. Mentor others: Provide technical mentorship on CI/CD, IaC, and agent-ready infrastructure; review designs and code; and help grow expertise across Platform and Product Engineering. Partner across teams: Collaborate with Product, Security, SRE, and AI/Agentic DevEx to ensure our release platform meets the needs of both developers and customers. About you You are a builder, not just a maintainer. You prefer writing a plugin, CLI, or automation over manually clicking through a console, and you have a track record of automating away your own toil. You have: 5+ years of software engineering experience with a focus on Release, DevOps, or Platform Engineering in cloud-based systems. Strong proficiency in Java or a similar statically-typed language, and comfort scripting in Python and/or Bash. Deep, hands-on experience with build tools such as Gradle, Bazel, or Maven at scale (large codebases, many modules, complex dependency graphs). Experience managing cloud infrastructure (AWS preferred) using Terraform or similar IaC tools. Experience operating modern CI/CD platforms (e.g., GitHub Actions, Harness, GitLab CI, or similar) and improving their performance, reliability, and ergonomics. Strong fundamentals in data structures, algorithms, and system design, and familiarity with distributed systems and networking concepts. Excellent communication and collaboration skills, and demonstrated experience leading multi-developer efforts, including planning and technical breakdown. You are: Someone who values “boring” reliability: you take pride in pipelines that run thousands of times without failure, and you build in error handling, retries, and idempotency by default. Excited about AI and agents, even if you are not training models yourself. You understand that for AI agents to be effective, the underlying infrastructure must be deterministic, observable, and API-driven, and you are motivated to build that foundation. Please note that at this time, Everlaw is not sponsoring U.S. employment visas for this role. Due to federal contract requirements, Everlaw may only hire US citizens for this position. PLUSES Experience with Open Policy Agent (OPA) and policy-as-code approaches. Experience working in regulated environments (e.g., FedRAMP, HIPAA, SOC 2) and familiarity with their change-management and audit requirements. Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) and interest in integrating them into developer workflows and CI/CD tooling. Experience with Bazel and/or multi-language monorepos. Contributions to open-source CI/CD, release, or IaC tooling, or public speaking/writing on developer productivity or release engineering. Benefits The expected salary range for this role is between $164,000 and $239,000 . The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future. Equity program 401(k) retirement plan with company matching Health, dental, and vision Flexible Spending Accounts for health and dependent care expenses Paid parental leave and approximately 10 days (80 hours) per year of sick leave Seventeen paid vacation days plus 11 federal holidays Membership to Modern Health to help employees prioritize mental health and wellness Annual allocation for Learning & Development opportunities and applicable professional membership dues Company-sponsored life and disability insurance Find out more about our Benefits and Perks Perks Work in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt Flexible work-from-home days on Tuesdays and Fridays Monthly home internet reimbursement Select your preference of hardware (Mac or PC) and customize your desk setup Enjoy a wide variety of snacks and beverages in the office Bond over company-wide out-of-the-box events and fun activities with your team Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice Take advantage of learning and career development opportunities Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies One of Wealthfront’s 2021 Career Launching Companies , and ranked #2 on the “ 2022 Bay Area Best Places to Work ” list by the San Francisco Business Times and the Silicon Valley Business Journal One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good” #LI-JA1 #LI-Hybrid Pursue Truth While Finding Yours At Everlaw, we are deeply invested in pursuing the truth, for our clients and for our employees. We know that when you’re empowered to pursue your passions, it is reflected in the work. That’s why we’re committed to the professional growth of all our team members, offering an annual learning and development stipend and regular career check-ins with managers. If you’re looking for a place that values passion, integrity, and a desire to learn, we’d love to hear from you! ​​About Everlaw We help law firms, government agencies, and corporations sift through millions of documents of evidence in big lawsuits and investigations to find the proverbial smoking gun (or needle in the haystack -- pick your metaphor). It's a multi-billion dollar space typically dominated by service-oriented vendors, and we're coming at it with cutting-edge technology and elegant design. It's working, and we've been growing very rapidly: we host hundreds of terabytes of data and work with all 50 state Attorneys General and hundreds of law firms on some of the most high-profile cases litigated today. Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act . Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We collect and process the personal information you provided along with your job application in accordance with our Applicants Privacy Notice and Notice at Collection . When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support. By submitting your application, you agree to adhere to these rules. Here's the link to our full policy , and please reach out with any questions! We use Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144. 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