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Senior Software Engineer, AI Gateway

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

From the employer's advert: United States: $160,900 – $260,700 + equity

Employer listed it 11 days ago · Added 10 days ago

First listed 11 days ago and still open.

Salary

$160,900 to $260,700

Location

Listed for United States

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Contract: Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
Experience asked for: Not mentioned in the advert
Pay: Technology stipend – Equivalent to US$100 net per month to help support your work.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "San Francisco, CA or Seattle, WA, Remote"

What Nomaders makes of it

Residency required in United States
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

About Docker

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

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Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.

The Gateway sits at the center of modern AI applications, offering:

A model and tool routing layer with built-in security and cost optimization

A familiar OpenAI-compatible interface and MCP server

Unified observability and policy enforcement

Auto-RAG, tool injection, session summarization, and more

We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.

What You’ll Do

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

Key Problems You’ll Help Solve

Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience

Making credential and identity handling for tool access both airtight and fast

Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed

Keeping latency low and reliability high as traffic scales from early adopters to production fleets

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, and/or Rust (both preferred)
·Familiarity with AI/ML platforms or model serving infrastructure

Benefits

·Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
·Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
·Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
·Home office support – Set up your workspace for comfort and success.
·Technology stipend – Equivalent to US$100 net per month to help support your work.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at Docker, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.