Forward Deployed Engineer (FDE)

Gravitee•Denver, CO

2d•$215,000•Hybrid

About The Position

Gravitee is seeking a highly technical, customer-facing Forward Deployed Engineer to join its Service Delivery organization. The role works directly with strategic enterprise customers, providing hands-on engineering expertise to accelerate implementations, solve complex technical challenges, and support successful production adoption. Unlike a traditional advisory role, it involves writing production-quality code, building integrations, automating deployments, and working within customer engineering environments. The FDE also contributes to delivery of Gravitee’s premium Diamond Support offering and to stronger customer relationships and long-term customer value. The position combines customer engineering and delivery, production adoption and customer success, and collaboration with Product and Engineering. The engineer develops custom policies, plugins, connectors, and integrations; improves deployment automation; troubleshoots customer environments; reviews code and configurations; validates upgrades; and helps customers adopt Gravitee’s API Management, Event Gateway, AI Gateway, and Agent Management capabilities. The role also develops reusable engineering assets and provides product feedback. Success is measured through faster customer production milestones, reliable delivery, strong adoption and retention, and reusable solutions that improve delivery efficiency.

Requirements

At least 7 years of professional software engineering, platform engineering, or equivalent hands-on technical experience.
Strong Java development skills and experience writing production-quality code.
Deep understanding of REST APIs, API gateways, microservices, and distributed systems.
Hands-on experience with Kubernetes, Docker, Helm, Terraform, and CI/CD.
Experience building custom integrations, plugins, and deployment automation.
Strong troubleshooting skills across application, networking, and infrastructure layers.
Experience with Git-based development workflows, code reviews, and automated testing.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Experience working directly with enterprise customers and technical stakeholders.
Ability to independently own complex technical deliverables from requirements through production.

Nice To Haves

Experience with Gravitee, Kong, Apigee, MuleSoft, or similar API management platforms.
Knowledge of Kafka, event-driven architectures, gRPC, and protocol transformations.
Experience with OAuth2, OpenID Connect, and enterprise security architectures.
Familiarity with AI gateways, LLMs, Model Context Protocol (MCP), and agentic AI.
Python, JavaScript/TypeScript, or front-end development experience.
Experience supporting large-scale enterprise migrations or regulated environments.
Experience using AI coding assistants and automated engineering workflows.
Experience with APIs, cloud-native platforms, AI-enabled systems, or open source.

Responsibilities

Own hands-on technical execution for assigned strategic enterprise customers.
Develop custom policies, plugins, connectors, and integrations to meet customer requirements.
Build and optimize deployment automation using Kubernetes, Helm, Terraform, and CI/CD pipelines.
Troubleshoot complex API, networking, performance, and infrastructure challenges.
Review customer code, configurations, and pull requests for production readiness.
Validate upgrades and perform regression testing against customer environments.
Accelerate customer deployments and time to production.
Partner with Implementation Managers, TAMs, Support, and Engineering to resolve technical blockers.
Work directly with customer developers and architects to ensure successful implementations.
Support ongoing adoption of Gravitee’s API Management, Event Gateway, AI Gateway, and Agent Management capabilities.
Identify opportunities to expand platform adoption and strengthen customer retention.
Partner with Product and Engineering on strategic customer requirements and technical solutions.
Develop reusable integrations, deployment templates, and technical assets.
Provide actionable feedback to improve Gravitee’s products and implementation experience.
Use AI-assisted development tools to improve engineering efficiency, testing, and troubleshooting.