Senior Software Engineer – Engineering Enablement

This is a fully remote position, open to applicants in United States.

📋 Description

• Manages features and infrastructure from design to production release, requiring minimal guidance.

• Independently identifies edge cases and potential failure modes within the assigned scope.

• Actively engages in code reviews, providing constructive and specific feedback.

• Proactively surfaces blockers early instead of waiting for regular check-ins.

• Designs pipeline abstractions (templates, shared jobs, reusable configurations) that are compatible across various teams and technology stacks.

• Ensures that pipelines remain healthy, observable, and continually improving.

• Owns the shared infrastructure layer for autonomous AI agent environments, including orchestration, provisioning, observability, cost controls, and security measures.

• Treats engineers as clients by offering office hours, thorough documentation, and feedback channels.

• Evaluates platform impact using DORA metrics, adoption rates, and time-to-productivity data.

⛳️ Requirements

• Over 5 years of professional experience in software engineering, with a proven track record of delivering features and infrastructure independently in production.

• Practical experience in building and maintaining CI/CD systems at an organizational scale, preferably with GitLab CI and/or Jenkins.

• Experience in developing developer-facing tools or platform services relied upon by other engineers.

• Hands-on experience with LLM developer tools: MCP, LLM APIs, agent orchestration, or AI harnesses (e.g., Claude Code, Cursor, Copilot Workspace, or similar).

• Strong proficiency in Python or TypeScript, with enough production experience to take ownership of and deliver real features.

• Proficient in Kubernetes and Helm at a production scale on AWS or Azure.

• Experience in designing shared pipeline abstractions and CI/CD infrastructure used by multiple teams.

• Familiarity with infrastructure-as-code tools such as Terraform, Pulumi, or their equivalents.

• Proficient with standard development tools: Git, Docker, automated testing, and modern scripting languages.

• Regular daily use of AI-assisted development tools.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

🏝️ Benefits

• Comprehensive insurance coverage (medical, dental, vision, life, and disability).

• Flexible paid time off.

• Paid holidays.

• 401(k) plan with company matching.

• Option for remote work.