Job Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

• 8+ years of software/platform engineering, with demonstrated technical leadership of a team or major workstream
• Expert in TypeScript/JavaScript (Node.js) and strong in Python
• Deep AWS experience and production Terraform/IaC skills
• Expert with GitHub Actions and CI/CD pipeline design; strong Git/GitHub fluency (GitHub Enterprise/EMU a plus)
• Solid grounding in DevSecOps — SAST/SCA, dependency and vulnerability remediation, secrets management
• Comfortable in Linux/shell, Docker, and operating production services (on-call, incident/change management)
• Excellent written communication — this team documents heavily (runbooks, playbooks, PRRs)

AI skills & knowledge (required)

• Daily, fluent use of AI coding assistants — Claude Code and/or GitHub Copilot — for implementation, refactoring, test generation, and code review
• Ability to establish team standards for AI-assisted development: effective prompting, when to trust vs. verify generated code, security/IP guardrails, and reviewing AI-authored changes
• Working understanding of LLM fundamentals — context windows, tokens, model selection, and prompt/context engineering
• Experience integrating AI into developer workflows and agentic/automation tooling (e.g., MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
• Able to evaluate AI tooling pragmatically — measuring real productivity and quality impact, not hype

Nice to have

• Azure secure-access patterns; AWS session-manager / IAM (ALKS) experience
• Building developer platforms / internal paved-road tooling at scale

Qualifications

Must have skills: DevOps - AWS (Expert), DevSecOps, GitHub Actions (Expert), Node JS, Python (Strong)