Top Tech Jobs & Startup Jobs in Seattle, WA

Design and build Docker’s AI Gateway, including model and tool routing, MCP services, control-plane infrastructure, secure credential management, policy enforcement, observability, caching, rate limiting, and agent evaluation systems. Lead architectural decisions, optimize performance and reliability at scale, guide roadmap planning, and mentor engineers while creating developer-facing APIs for AI applications.

Lead the architecture and implementation of Docker’s AI Gateway, including model and tool routing, MCP, control-plane systems, credential vaulting, policy enforcement, observability, analytics, caching, and rate limiting. Solve complex distributed-systems problems, establish technical direction, improve infrastructure, mentor engineers, and shape product strategy. Build secure, scalable services supporting model orchestration, agent evaluation, replay, and enterprise-grade governance.

Build and deploy production solutions with strategic customers using Docker, containers, Kubernetes, enterprise integrations, and agentic AI technologies. Lead engagements from discovery and architecture through rollout, establish secure and governable AI adoption practices, mentor engineers, support technical escalations, influence product direction, and codify repeatable delivery standards. The role requires extensive customer-facing technical leadership, production coding, software supply chain security expertise, and up to 50% customer-site travel.

Own the strategy, roadmap, and execution of Docker’s AI Gateway, enabling secure model access for developer and enterprise AI agent workflows. Responsibilities include simplifying onboarding, shaping APIs and integrations, defining governance and access controls, managing model interoperability, optimizing routing and inference costs, and driving launches. The role partners with engineering, design, customers, security stakeholders, and inference providers.

Own the vision, roadmap, revenue, and outcomes for Docker’s core Sandbox platform. Partner with developers, customers, designers, engineers, and ecosystem partners to define and deliver valuable, usable products. Engage users, prioritize features, guide iterative development, analyze qualitative and quantitative data, and scale services. The role requires technical knowledge of developer tools, AI agents, software supply chains, security, and sandboxed environments, along with strong communication and cross-functional leadership.

Build and operate production AI-powered developer tools, including code review assistants, test generators, deployment diagnostics, and incident-response agents. Develop the self-service platform supporting deployment pipelines, observability, security, cost management, and reliable AI systems. Integrate LLM providers, agent frameworks, MCP servers, CI/CD, and infrastructure platforms. Own features from design through production, participate in on-call, improve operational practices, collaborate cross-functionally, and mentor engineers.

Set technical direction for AI-powered developer tools and a self-service AI platform. Design, build, and operate production AI agents, scalable distributed systems, deployment frameworks, observability integrations, security controls, and CI/CD integrations. Establish LLM and agent-development standards, lead cross-team initiatives, mentor engineers, conduct design reviews, measure AI-tool effectiveness, and participate in on-call operations.

Owns Docker’s multi-year technical strategy and architecture for secure software delivery and software supply chain security. Designs provenance, attestations, artifact signing, SBOM, dependency analysis, vulnerability intelligence, policy enforcement, and SDLC integrations across Docker products. Partners with executives, leads cross-company initiatives without direct authority, mentors senior engineers, influences standards, and supports enterprise security and monetization goals.

Design, build, and operate Docker’s enterprise AI agent platform using Go and Kubernetes. Responsibilities include cloud control planes, multi-cloud infrastructure, security and network boundaries, reproducible software supply chains, production ownership, on-call operations, SLOs, incident response, distributed systems design, and technical leadership. The role also includes mentoring engineers and collaborating across runtime, identity, developer experience, and observability teams.

Own and evolve AWS infrastructure for Docker’s billing platform, including Terraform-based IaC, compute, storage, networking, CI/CD, observability, deployment safety, and incident response. The role drives infrastructure standards, reliability improvements, security practices, rollback procedures, and AI-assisted operations while partnering with software engineers and mentoring teammates. Participation in an on-call rotation is required.