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Own the strategy, systems, and training that turn AI-assisted development from an experiment into Coinme's engineering superpower. You will be the central force multiplier for our 35+ engineer organization—building the skills, workflows, and shared infrastructure that enable every team to ship faster and better with Claude Code. This is not a support role. You will directly shape how Coinme engineers build software every day.

• Design, build, and maintain a centralized repository of CLAUDE.md project context files across all Coinme repositories, ensuring Claude Code understands our architecture, coding standards, compliance requirements, and domain patterns out of the box
• Create custom Claude Code slash commands, hooks, and workflows tailored to Coinme's stack—including compliance-aware code generation, automated test scaffolding, and review automation for our CQRS/Event Sourcing architecture
• Implement and manage the GitLab CI/CD integration for Claude Code, enabling automated merge request creation from issues, AI-assisted code review in pipelines, and commit attribution across all engineering teams
• Build and deliver structured training programs to close adoption gaps across the engineering org, with a focus on the highest-leverage skills: headless/CI-CD workflows, hooks and commands, and test-driven development with Claude Code
• Monitor engineering adoption metrics via the Claude Enterprise Analytics API, identify engineers and teams that are underutilizing the tool, and design targeted interventions to accelerate their productivity
• Develop and maintain a living playbook of best practices, prompt patterns, and workflow recipes that codify what Coinme's top Claude Code users (power users generating 5,000+ tool accepts) do differently
• Partner with Engineering Leadership to define proficiency benchmarks, run competency assessments, and measure ROI of AI tooling investment across the organization
• Evaluate and integrate emerging Claude Code capabilities—including MCP server integrations, multi-file editing workflows, and agentic coding patterns—as they become available
• Work within and build tooling for our technology stack:
• GitLab (repos, CI/CD pipelines, merge requests)
• Jira / Atlassian (project management, sprint tracking)
• Claude Code CLI and VS Code extension
• Claude Enterprise Analytics API
• Java 17+ / Spring Boot / Reactive Java (understanding, not necessarily writing daily)
• Kubernetes, Helm, Argo platform
• Multi-repo microservice architecture

• 4+ years of experience as a software engineer with hands-on production coding experience
• Deep, daily-driver proficiency with Claude Code and comparable AI coding assistants (Cursor, GitHub Copilot) — you should be a power user, not someone who's "tried it a few times"
• Experience implementing and integrating with agentic harnesses, e.g. Open Claw, Hermes, Eigent, etc.
• Experience building developer tools, internal platforms, CLI utilities, or developer experience infrastructure
• Demonstrated ability to teach technical concepts to engineers at varying skill levels — through documentation, workshops, pairing sessions, or recorded content
• Experience with CI/CD pipeline design and automation (GitLab CI preferred)
• Strong understanding of Git workflows, code review processes, and merge request automation
• Experience working with REST APIs for data integration and dashboard building
• Comfort navigating and understanding large, multi-repo codebases without necessarily being an expert in every language or framework
• Excellent written communication — you'll be writing CLAUDE.md files, training docs, and playbooks that need to be clear enough for both humans and AI to understand
• Self-directed and proactive — this is a one-person function where you set the agenda based on data and engineer feedback

• Claude Certified Architect (CCA), Foundations credential from Anthropic
• Familiarity with Java / Spring Boot / CQRS / Event Sourcing patterns (Coinme's primary backend stack)
• Experience building analytics dashboards or working with usage telemetry data
• Background in DevRel, developer advocacy, or engineering enablement
• Experience in fintech, crypto, or regulated industries where compliance-aware code generation adds particular value
• Experience running hackathons, training programs, or engineering culture initiatives

Check out our AI Usage Guidelines to understand how we approach AI tools during the hiring process.