Senior Software Engineer – Engineering Enablement

Responsibilities

• Owns features and infrastructure end-to-end: design through production release, limited guidance required
• Identifies edge cases and failure modes independently within assigned scope
• Participates actively in code review with constructive, specific feedback
• Surfaces blockers early rather than waiting for check-ins
• Designs pipeline abstractions (templates, shared jobs, reusable configs) that work across multiple teams and tech stacks
• Keeps pipelines healthy, observable, and continuously improving
• Owns the shared infrastructure layer for autonomous AI agent environments: orchestration, provisioning, observability, cost controls, and security guardrails
• Treats engineers as customers: office hours, documentation, feedback loops
• Measures platform impact with DORA metrics, adoption rates, and time‑to‑productivity data

• 5+ years of professional software engineering experience, delivering features and infrastructure independently in production
• Hands‑on experience building and maintaining CI/CD systems at org scale, preferably Git Lab CI and/or Jenkins
• Experience building developer‑facing tooling or platform services other engineers depend on
• Hands‑on experience with LLM developer tooling: MCP, LLM APIs, agent orchestration, or AI harnesses (Claude Code, Cursor, Copilot Workspace, or equivalent)
• Deep proficiency in Python or Type Script, with production experience sufficient to own and deliver real features
• Proficiency with Kubernetes and Helm at production scale on AWS or Azure
• Experience designing shared pipeline abstractions and CI/CD infrastructure used by multiple teams
• Familiarity with infrastructure‑as‑code tools (Terraform, Pulumi, or equivalent)
• Proficiency with standard development tooling:
  Git, Docker, automated testing, and modern scripting languages
• Active daily use of AI‑assisted development tools
• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.