Description

You own the full software lifecycle from design and testing through CI/CD pipelines, deployment, and production monitoring. You treat every stage as first-class craft and leverage AI agents to accelerate development while maintaining strict quality standards.

This role is on-site.

Responsibilities

• Build and operate CI/CD pipelines, including Jenkins or GitLab, and create "Golden Path" scaffolding with embedded security and quality gates.
• Develop and maintain a governed catalog of AI agents, MCPs, and skills with precise behavior and access controls.
• Own the testing strategy across the platform, applying unit, integration, contract, and end-to-end tests, including mutation or property-based testing where appropriate.
• Define SLOs for platform services and design observability metrics, logs, traces, and dashboards to monitor productivity and service health.
• Partner with cross-functional teams to drive adoption of AI-augmented workflows and rapidly prototype solutions to validate use cases.

Required Skills

• 5–7+ years of experience building and operating production software systems.
• Full-stack proficiency in Java, Python, and TypeScript/JavaScript, with frameworks like Spring Boot and Angular.
• Deep CI/CD experience using Jenkins, GitLab, or equivalent tools, with comfort in Infrastructure as Code.
• Strong AWS fundamentals, including ECS, EC2, Fargate, Lambda, and API Gateway.
• Experience with observability tools such as CloudWatch or Splunk for metrics, logs, and traces.
• Daily use of AI coding tools (e.g., Claude Code, Kiro, Codex) with a clear understanding of their capabilities and limits.
• Disciplined approach to testing, including TDD, test pyramid design, and integration/contract testing.

Preferred Skills

• Experience building internal developer platforms, SDKs, or CLIs at scale.
• Production experience with LLM orchestration, including MCP servers and tool calling.

Key Skills

Education

Any Graduate