Engineering Coach (AI-Augmented Staff Engineering) / Remote

Position: Engineering Coach (AI-Augmented Software Engineering)
Location: Remote(Occasional Travel required)
Job Description-:

We are looking for an experienced Engineering Coach (Staff Engineer level) to mentor and elevate a global engineering organization of ~25 engineers. This role will focus on improving engineering effectiveness through AI-augmented software development practices, modern SDLC tooling, and developer productivity frameworks.

The Engineering Coach will work closely with engineering leaders and teams to mentor engineers through 1:1 coaching, structured workshops, and hands-on guidance, helping embed modern AI-driven engineering practices across the development lifecycle.

Key Responsibilities

Engineering Coaching & Mentorship

• Conduct 1:1 coaching sessions with engineers to improve technical decision making and development practices.
• Lead structured coaching programs for ~25 engineers globally.
• Provide guidance on architecture thinking, clean code, testing discipline, and system design.
• Mentor engineers toward senior and staff-level engineering maturity.

AI-Augmented Engineering Practices

• Introduce and operationalize AI in the SDLC, including:
  1. AI-assisted coding
  2. test generation
  3. code review automation
  4. documentation generation
• Train teams on modern developer AI tooling such as:
  1. GitHub Copilot
  2. Cursor
  3. Codeium
  4. AI code review assistants
  5. AI-powered DevOps tools
• Define frameworks for responsible AI usage in engineering workflows.

Engineering Enablement

• Deliver classroom-style workshops and technical learning sessions.
• Facilitate engineering guilds, architecture discussions, and design reviews.
• Build engineering playbooks and best practices for:
  1. AI-enabled development
  2. modern DevOps workflows
  3. platform engineering
  4. developer productivity

SDLC & Developer Experience Optimization

• Improve SDLC maturity across development, testing, and deployment.
• Establish metrics around:
  1. developer productivity
  2. cycle time
  3. code quality
  4. engineering velocity
• Partner with platform and DevOps teams to improve internal developer platforms (IDP).

Required Experience

• 10+ years’ experience in software engineering.
• Prior experience as Staff Engineer / Principal Engineer / Architect.
• Demonstrated experience mentoring engineers and coaching engineering teams.
• Strong experience with modern SDLC practices:
  1. CI/CD
  2. automated testing
  3. DevSecOps
  4. code quality frameworks
• Experience implementing AI-assisted software development workflows.
• Hands-on development background in at least one major stack:
  1. Java
  2. Python
  3. Node.js
  4. Go
  5. TypeScript

Preferred Experience

• Experience scaling engineering excellence programs.
• Familiarity with developer productivity metrics (DORA, SPACE).
• Experience with platform engineering and internal developer platforms.
• Background in engineering leadership or technical enablement roles.

Key Success Metrics

• Improvement in developer productivity and code quality.
• Adoption of AI-enabled SDLC practices across engineering teams.
• Increased engineering maturity across the organization.
• Positive feedback from engineers on coaching effectiveness.