Lead Forward Deployed Engineer
Quanta Services alt · Houston, TX, US
About this role
## Lead Forward Deployed Engineer ### About Us Quanta builds the infrastructure that powers modern life—supporting the energy transition and connecting people to the energy they rely on. We foster a culture of belonging, encourage growth, and reward excellence across our corporate team and operating companies worldwide. ### About this Role The **Lead Forward Deployed Engineer (Lead FDE)** is a hands-on technical team lead who guides a small pod of Forward Deployed Engineers to deliver high-impact solutions—from discovery through production—for Quanta’s operating companies. You’ll own day-to-day execution on **one active project at a time**, setting technical direction, coordinating **2–4 engineers**, and contributing directly to the codebase. You’ll translate ambiguous business needs into shipped software, unblock the team, and serve as the primary technical point of contact for stakeholders. ### What You’ll Do - Lead end-to-end delivery of a single project (from problem framing to production hand-off) - Partner with business leaders, domain experts, and stakeholders to shape scope - Translate ambiguous requirements into a concrete delivery plan with testable milestones - Write production-ready code as a hands-on contributor - Make day-to-day technical decisions (frameworks, integrations, data models, deployment targets) - Escalate architectural decisions to the Forward Deployed Engineering Manager (FDEM) when needed - Run code reviews, pairing sessions, and working sessions to raise the team’s technical bar - Use AI-assisted development tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate delivery and share best practices - Identify risks, dependencies, and blockers early and drive resolution - Deploy applications to production and coordinate post-deployment support, monitoring, and iteration - Mentor engineers through pairing, feedback, and targeted coaching - Document design decisions, reusable components, and lessons learned - Represent the pod in status reviews, demos, and retrospectives with stakeholders and Data & AI leadership - Stay current with emerging AI tools and development practices; pilot adoption within your project ### What You’ll Bring - Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field - **8–12 years** of software development, systems integration, or technical consulting, with recent hands-on delivery experience - **2+ years** in a technical lead / tech lead / senior engineer capacity guiding engineers on a shared project - Advanced proficiency in at least one modern programming language (e.g., **Python, TypeScript/JavaScript, Go, Java**) - Strong foundation in software architecture patterns, API design, data modeling, and full-stack or backend delivery - Fluency in at least one major cloud environment (**AWS, Azure, or GCP**) and modern practices (**CI/CD, containers, version control, testing**) - Demonstrated experience applying AI tooling (e.g., Copilot, ChatGPT, Claude, vector search, prompt engineering, RAG patterns) in real delivery workflows - Track record of shipping production software on tight timelines in an embedded/consultative setting - Experience mentoring engineers and running effective code reviews - Excellent communication skills to translate between business stakeholders and engineers ### Preferred (Optional) - Experience delivering AI, automation, or data-intensive applications in enterprise environments - Experience in large, decent
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