- Write high-quality, maintainable code that accelerates platform automation and reduces tech debt across Global Host Platform systems.
- Build the internal tools that keep our systems scalable and resilient at global scale — engineered to hold up under the peak load of high-demand onsales.
- Use scripting (Python, Bash) and infrastructure-as-code (Terraform, Ansible) to simplify and standardize operational workflows.
- Lead technical deep-dives to spot automation opportunities and tackle long-standing inefficiencies.
- Drive adoption of AI developer tools — e.g. Claude Code, GitHub Copilot, Cursor, Amazon Q, and local models via Ollama — across the team.
- Design and champion agentic AI workflows that plan, reason, and act — building frameworks for autonomous task execution and tool chaining, including via the Model Context Protocol (MCP).
- Define and evolve our internal patterns for LLM-backed development, spec-driven workflows, and AI-augmented refactoring — with attention to code quality, security, and human review.
- Define and evangelize internal standards for platform automation, SRE practice, and code quality.
- Mentor engineers and spread knowledge across the team, especially on getting real leverage from modern AI tooling.
- Partner with reliability and platform engineers to deliver automation that sticks — measurable impact over buzzwords.
- Lead in-person team trainings, gatherings, and hackathons on-site monthly, and travel quarterly.
Requirements
- 8+ years of hands-on software engineering experience; systems or backend engineering preferred.
- Hands-on experience with AI developer tools (Claude Code, GitHub Copilot, Cursor, etc.), LLM-backed scripting, and agentic AI systems capable of planning, tool use, and autonomous task execution in engineering workflows.
- Agentic AI in both our developer processes and our production services is a must — you build with it day-to-day and you run it where reliability actually counts.
- Strong command of multiple scripting languages and infrastructure-as-code tooling.
- Experience with automated VM deployments (VMware) and automated configuration management (Ansible).
- Containerizing software and tools (Docker, Podman) and deploying them in orchestrated environments (Kubernetes).
- Experience in SRE, DevOps, or platform engineering — or the curiosity and track record to ramp up fast.
- A genuine drive to reduce tech debt, enable teammates, and automate the annoying stuff.
- Ability to lead a team in blending software engineering best practices with fast-moving AI capabilities — and to keep that blend current as both continue to evolve.
- A habit of keeping pace with a market that moves weekly, not yearly — and the instinct to lead and teach others so the whole team stays current, not just you.
- Excellent communication and collaboration skills; you enjoy being a multiplier.
- Nice to have: Background in high-scale production systems (AWS, observability platforms, etc.).
- Nice to have: Experience building or operating MCP servers, or integrating AI agents with internal tooling.
- Nice to have: Experience introducing new development practices or tooling into an existing engineering org.
- Nice to have: Prior involvement in incident management, disaster recovery, or reliability strategy.
Core Competencies
Demonstrates expertise in software engineering with a focus on automation, AI developer tools, and infrastructure-as-code practices. Proven ability to mentor teams, drive adoption of modern technologies, and enhance operational workflows for scalable and resilient systems.
Highest-signal resume keywords
- Python Scripting
- Infrastructure-As-Code (Terraform, Ansible)
- AI Developer Tools (Claude Code, GitHub Copilot, Cursor)
- Containerization (Docker, Podman)
- Site Reliability Engineering (SRE)
ATS Optimization Keywords
Hard Skills
- Software Engineering
- Backend Engineering
- Automated VM Deployments (VMware)
- Automated Configuration Management (Ansible)
- LLM-Backed Scripting
- Agentic AI Systems
- Code Quality Standards
- Tech Debt Reduction
- AI-Augmented Refactoring
- Orchestrated Environments (Kubernetes)
Soft Skills
- Excellent Communication
- Collaboration
- Mentoring
- Leadership
- Team Building
Industry Keywords
- Platform Automation
- DevOps
- High-Scale Production Systems
- Incident Management
- Disaster Recovery
Tools & Technologies
- Terraform
- Ansible
- Docker
- Podman
- Kubernetes
- AWS
- Observability Platforms
- MCP Servers