Senior Software Engineer, AI Gateway

Docker is hiring a Senior Software Engineer to build core systems and infrastructure for its AI Gateway. The role includes developing model and tool routing, secure gateway capabilities, developer APIs, and agent evaluation and observability infrastructure, while contributing to architecture and technical strategy.

Responsibilities:

• Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
• Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement
• Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
• Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
• Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
• Lead architectural decisions and mentor engineers as the team scales
• Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load
• Contribute to roadmap planning, technical strategy, and cross-functional alignment

Requirements:

• 6+ years of backend engineering experience with production-grade systems
• Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design
• Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines)
• Fluency in Go
• Familiarity with AI/ML platforms or model serving infrastructure
• A strong product mindset—you're excited about building developer-facing tools
• Ownership mentality with a bias for shipping, learning, and iterating
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Rust (both preferred)
• Prior experience with OpenAI, Anthropic, or similar LLM APIs
• Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
• Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
• Understanding of OAuth2.1, secret management, and cloud IAM systems
• Experience with Kubernetes, Docker, and microservices architecture