Coinme

Claude Code Platform Lead

6.0/10

Coinme

Not specified
Remote
mid
about 1 month ago
May be outdated
aicryptotechClaude CodeGitLabJiraJava 17+Spring BootKubernetesHelmArgo

AI Summary

The vacancy is well-defined but lacks compensation details, affecting overall quality.

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Description

What You'll Be Working On (Your Impact)

  • •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

Not Required, But Nice to Have

  • •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

Requirements

What We're Looking For

  • •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
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