Engineering Coach (AI-Augmented Staff Engineering) / Remote

Apetan Consultingvia Dice

RemotoRemotoSêniorCLT2 dias atrás

Salário Estimado

R$ 15.180,00 - R$ 22.770,00

Tecnologias

TypeScript Node Python Java Go Git GitHub IA

0de 100

Excelente

Score da Vaga

Descrição da Vaga

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:

•AI-assisted coding • test generation

•code review automation • documentation generation

•Train teams on modern developer AI tooling such as:

•GitHub Copilot

•Cursor • Codeium

•AI code review assistants • 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:

•AI-enabled development • modern DevOps workflows

•platform engineering • developer productivity SDLC & Developer Experience Optimization

•Improve SDLC maturity across development, testing, and deployment. • Establish metrics around:

•developer productivity • cycle time

•code quality • 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:

•CI/CD

•automated testing • DevSecOps

•code quality frameworks • Experience implementing AI-assisted software development workflows.

•Hands-on development background in at least one major stack:

•Java

•Python • Node.js

•Go • 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.

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Publicada2 dias atrás

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