Lead Full Stack Engineer (java, React) + Genai

Lead Full-Stack Engineer With GenAI

Are you passionate about scaling engineering excellence and enabling teams to build faster, better, and more reliably? As a Lead Full-Stack Engineer with GenAI on our customer's Engineering Effectiveness team, you will champion an "AI-first developer experience"—evolving foundational tooling, building customizations, and leading engagements that boost productivity and developer experience across our engineering domains.

What You'll Do

1. Lead modernization of high-value systems using AI-accelerated IDEs (e.g., GitHub Copilot, Windsurf) and LLM-assisted workflows to "dramatically" reduce cycle time and improve engineering flow.
2. Design and deliver end-to-end, AI-enabled solutions—from proof-of-concept through production—serving as the primary technical point of contact for product and platform teams.
3. Embed with engineering teams to uplift practices: pair program, run enablement sessions, and introduce intelligent code-generation, refactoring, and test-automation techniques.
4. Drive adoption of sensible defaults, DevEx metrics, and Grainger's Internal Developer Portal; evolve templates and shared workflows for AI readiness.
5. Cultivate an open, collaborative culture—promoting transparent communication, fast feedback loops, and knowledge-sharing around emerging AI patterns.
6. Continuously evaluate and pilot new GenAI tools and customizations, measuring impact on productivity, quality, and developer experience; publish findings internally and to the wider tech community.

What You'll Bring

• 10+ years of software-engineering experience across distributed, cloud-native systems.
• Hands-on fluency with Java, TypeScript/React/Next.js, and at least one additional language.
• Proven track-record modernizing legacy applications—leveraging GenAI to accelerate source-to-cloud refactors or monolith decompositions.
• Practical expertise with AI-assisted development tools such as GitHub Copilot, Windsurf, or similar agentic IDEs; ability to coach teams in effective prompt engineering.
• Deep knowledge of AWS (preferred) or GCP/Azure, Kubernetes, Terraform, CI/CD pipelines, and event-driven architectures (Kafka, SQS).
• Commitment to engineering rigor: secure coding, automated testing, continuous delivery, and data-driven decision-making.
• Demonstrated leadership in mentoring and influencing engineers of all levels; strong empathy, communication, and change-management skills.
• B.S. in Computer Science or related field—or equivalent practical experience.

Tech Stack & Tooling You'll Touch

• Agentic IDEs & AI tooling: Windsurf, Github Copilot, AI-powered/agentic workflows
• Languages & Frameworks: Java, Kotlin, Go, JavaScript/TypeScript, React, Next.js
• Cloud & Infra: AWS (EKS, Lambda, SQS, SNS), GCP/Azure equivalents, Docker, Kubernetes
• Automation: Terraform, CloudFormation, GitHub Actions, ArgoCD
• Observability: OpenTelemetry, Datadog, Splunk, Prometheus
• Quality & Patterns: TDD, BDD, DDD, Clean Architecture