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Gravitee

Senior Software Engineer

Gravitee

. Own a meaningful slice of the Agents or LLM control roadmap from customer conversations through shipping and iteration .

Posted 10/2/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend software engineering with a focus on Java or C#, API design, and distributed systems. Proficient in utilizing AI-assisted development tools and integrating multiple LLM providers while effectively translating customer feedback into actionable technical plans.

Highest-signal resume keywords
Java ProgrammingC# ProgrammingAPI DesignAI Coding AssistantsDistributed Systems

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Backend DevelopmentAuthentication/Authorization FlowsA2A ProtocolAPI ManagementContainerized DeploymentCI/CD PipelinesNoSQL DatabasesCost Governance for AI SystemsLLM IntegrationMCP Orchestration Standards
Soft Skills
Customer CommunicationAdaptability
Tools & Technologies
CursorClaude CodeGitHub Copilot
Industry Keywords
Product-Facing RoleAgent GatewayMulti-LLM RoutingUsage Data AnalysisFast-Moving Product Environment

Tech Stack

Tools & technologies
Distributed SystemsJavaMongoDBNoSQL

About the role

Key responsibilities & impact
  • Own a meaningful slice of the Agents or LLM control roadmap from customer conversations through shipping and iteration
  • Build features for the Agent Gateway and A2A protocol support, or multi-LLM routing, cost control, and reliability
  • Work closely with Product Management and Design
  • Use AI-assisted development tools as a core part of the workflow
  • Analyze usage data and customer feedback to inform product priorities
  • Prototype quickly, test with real users, and adapt based on results
  • Partner with Staff Engineers and other pods across Agents, LLM control, MCP, and the core API gateway
  • Help decide what gets built and build end-to-end product outcomes

Requirements

What you’ll need
  • 4+ years of software engineering experience, ideally in a product-facing or full-stack role
  • Backend experience in a statically-typed language; Java or C# required
  • Strong understanding of authentication/authorization flows (OAuth2/OIDC or similar)
  • Understanding of identity and permissions propagation through distributed systems
  • Comfortable talking directly to customers and translating feedback into a technical plan
  • Hands-on experience with AI coding assistants such as Cursor, Claude Code, or GitHub Copilot
  • Strong fundamentals in API design and distributed systems
  • Familiarity with the A2A protocol or agent-to-agent communication patterns
  • Experience with API gateways or API management platforms
  • Exposure to LLM-based products or agentic workflows
  • Experience integrating multiple LLM providers into a single product surface
  • Experience with cost or usage governance for AI and LLM systems
  • Familiarity with MCP or similar orchestration standards
  • Experience in a fast-moving, ambiguous product environment
  • Experience with containerized deployment and CI/CD pipelines
  • Familiarity with NoSQL/document databases such as MongoDB

Benefits

Comp & perks
  • Competitive medical coverage
  • Pension / 401k program options
  • Stock options
  • 25 days holiday + in-country national holidays
  • 3 mental health days + wellness allowance
  • Your birthday off
  • Professional development budget
  • Hybrid work culture with hubs across regions
  • Quarterly team events + annual offsite at an exciting location
  • Meaningful, progressive, global company culture
  • Endless growth opportunities