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Role Description

Help shape the future of how engineers build, ship, and operate software. We're hiring a Staff Software Engineer to contribute to platform-wide initiatives across CI/CD, Kubernetes, and developer experience – with a strong emphasis on building and integrating AI tooling into everyday engineering workflows.

• Design, build, and scale AI-powered developer tooling:
• Agentic coding and review workflows that use LLMs to analyze code, generate changes, and collaborate via chat.
• Policy- and guardrail-aware assistants that can comment, propose code changes, and safely automate repetitive tasks.
• Prompt libraries, instructions, and service manuals that make AI adoption effective and safe across teams.
• Contribute to the evolution of our CI/CD platform to be faster, more observable, and easier to adopt:
• Build analytics and data pipelines to compare platform performance, baselines, and regressions.
• Contribute insights that inform team-level improvements and broader platform decisions.
• Strengthen platform reliability and security in Kubernetes:
• Improve cluster/app resiliency, rollout strategies, and priority classes for critical services.
• Standardize Helm chart patterns, deployment practices, and IaC workflows.
• Contribute to incident response playbooks, maintenance modes, and recovery patterns.
• Create paved paths and golden templates for developers:
• Self-service software templates, CLI/automation enhancements, and bootstrap flows.
• Clear docs, runbooks, and technical blogs that drive adoption and reduce support load.
• Mentor and grow:
• Pair with teammates to land complex changes, champion TDD and code review quality, and uplevel practices within the team.
• Anticipate and surface blockers, delays, and tradeoffs before they require escalation – keeping stakeholders informed and expectations aligned.

Qualifications

• Staff-level impact building platform capabilities with clear outcomes in developer velocity, reliability, and/or quality.
• Deep experience in one or more of the following and working knowledge of the rest:
• CI/CD systems and reusable pipeline components (e.g., GitHub Actions or similar).
• Kubernetes, Helm, GitOps (e.g., ArgoCD), and infrastructure as code (e.g., Terraform).
• AI for engineering: prompt design, multi-agent orchestration, safety/guardrails, and integrating LLMs into code and review workflows.
• Data and analytics for platform decisions (e.g., Python/Node-based ETL, SQL/warehouses, lightweight dashboards).
• Proficiency in at least two languages used for platform work (e.g., Python, TypeScript/Node.js, Bash); comfortable moving across stacks to ship end-to-end solutions.
• Strong security and reliability instincts (secrets, least privilege, dependency hygiene, runtime hardening).
• Clear, concise written communication – from crisp docs and service manuals to guides that accelerate adoption across the team.
• Able to communicate effectively with a diverse team and external stakeholders; actively listens and ensures shared understanding.

Requirements

• Faster, more reliable delivery pipelines and higher adoption of paved paths.
• Measurable improvements to build/test times, failure triage, and developer feedback cycles.
• AI tools that engineers choose to use – with clear quality, speed, and safety wins.
• Repeatable templates and docs that reduce bespoke work and support burden.
• Proactive communication that keeps projects on track and stakeholders aligned without escalation.

Benefits

• The company offers various benefits to employees and their dependents, including medical, vision, dental, disability, and life insurance, as well as parental and military leave.
• Other benefits include an employee assistance program, 401k + match, annual bonus, pet insurance, and RSUs.
• Paid parking* and 10 paid holidays are also provided.