Tech Lead - AI Platform & Developer ; DevEx

Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence.

We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder.

Why join us?

• The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security

• The Momentum: A high-growth Leader — combining market credibility with startup speed

• The DNA: We hire people who Hold Nothing Back — passionate builders who want to redefine digital infrastructure

Don’t just watch the AI revolution. Build the infrastructure that controls and secures it.

At Gravitee, we aren’t just using AI to build features for our users; we are completely reinventing the Software Development Life Cycle (SDLC) itself.

This is not a corporate strategy role or a pure ML research position. We are looking for a leading, hands‑on AI-native engineer. You will lead a high‑performing squad of Dev Ex and Platform Engineers to build an AI‑augmented internal ecosystem that optimises every phase of our lifecycle, from product ideation to production deployment.

At Gravitee, impact isn’t abstract, it’s visible. In this role, you will:

Team Leadership & Management

• Build the Squad:
  Hire, scale, and lead a high‑performing team of Developer Experience (Dev Ex) and Platform Engineers.

• Lead by Example:
  Act as a premier AI-native engineer, establishing the standard for how the team leverages advanced AI tools (e.g., Cursor, Devin, custom LLM workflows) to code faster, safer, and smarter.

• Foster User Empathy:
  Ensure your team views internal Product Managers, Designers, and Developers as their primary customers.

• Resource Planning:
  Masterfully balance the roadmap between long‑term, high‑leverage R&D (e.g., experimenting with multi‑agent orchestration) and immediate, tactical fixes that unblock the engineering organisation

Platform Architecture & Context Engineering

• Architect the AI-Native Stack:
  Lead the technical implementation of our Internal Developer Platform (IDP), knowing exactly when to rely on traditional, deterministic backend orchestration vs. autonomous LLM agents.

• Master Context Engineering:
  Own our ingestion pipeline. You understand that AI is only as good as its context; you will build robust RAG systems that sync codebase knowledge, Linear/Jira histories, and Architecture Decision Records (ADRs) to feed internal tooling and eliminate hallucinations.

• Infrastructure Guardrails:
  Ensure all AI-generated code and automated workflows are bounded by strict engineering guardrails, robust error handling, and security scanning.

Workflow Acceleration

• For Product:
  Architect tools that ingest raw customer feedback, telemetry, and business requirements to assist PMs in drafting rigorous, comprehensive Product Requirement Documents (PRDs).

• For Engineering:
  Seamlessly integrate advanced coding assistants that go beyond basic autocomplete, enabling entire scaffolding and test-suite generation directly mapped to the specs created in the product phase.

Metrics & Reporting

• Define the Metrics:
  Don’t guess, measure. Establish and track the core "Physics of Gravitee":
  Speed, Velocity, and Quality.

• Monitor AI Adoption:
  Track and optimise the usage rates of internal AI tools, acceptance rates of AI-generated code/specs, and the direct impact on DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec."

Your impact will be visible, measurable, and global.

• Management
  
  Experience:
  
  3+ years of experience managing engineering teams, with a strong preference for Dev Ex, Platform, Infrastructure, or Tooling teams. A proven track record of hiring exceptional talent.

• Software Engineering Core: 7+ years of foundational software engineering experience. You are an expert backend engineer or systems architect who builds production‑grade software that scales.

• AI & LLM Mastery: Deep, recent, hands‑on experience ope rationalising Generative AI. You understand context windows, token optimisation, embedding models, vector databases, and RAG architectures.

• AI‑Native Workflow Philosophy: You are deeply embedded in the…