Top Tech Jobs & Startup Jobs in Seattle, WA

Own technical program delivery for federal and national security partners adopting Trase OS. Responsibilities include translating requirements into milestones, coordinating secure cloud and on-premises deployments, managing releases and integrations, driving RMF/ATO and STIG compliance, overseeing support and remediation, resolving technical escalations, and establishing repeatable onboarding, documentation, and operational handoffs across engineering, security, product, GRC, and partner teams.

Build and deploy AI-enabled applications, agents, and workflow automation for customers while contributing to the core platform. Translate ambiguous customer needs into production systems, integrations, APIs, backend services, infrastructure, and deployment workflows. Own delivery from prototype through customer acceptance, debug complex application and infrastructure issues, and ensure solutions are secure, reliable, auditable, and scalable. Shape technical direction, architecture, reusable platform capabilities, and product roadmaps through direct customer engagement.

Build and operate secure DevOps infrastructure for federal and commercial partner environments across cloud, private, hybrid, and on-premises deployments. Responsibilities include Kubernetes, infrastructure as code, CI/CD and GitOps, networking, observability, incident response, secure releases, vulnerability remediation, and production support. The role also leads architecture and reliability standards, supports compliance requirements such as STIG and RMF/ATO, mentors engineers, and provides partner onboarding and troubleshooting. Up to 20% travel may be required.

Build and support full-stack applications, APIs, integrations, and AI agent workflows for federal and national security partners. Develop accessible interfaces, backend services, authentication, audit logging, data models, testing, and deployment capabilities across cloud, private-network, and on-premises environments. Diagnose production issues, support releases, document solutions, collaborate with partner and platform teams, and mentor engineers. The role also requires adapting applications to federal security and delivery requirements.

Leads the Production and Infrastructure Engineering organization across DevOps, SRE, DevEx, MLOps, infrastructure, testing, and support. Responsibilities include hiring and developing engineers, setting priorities, managing delivery, guiding technical decisions, overseeing cloud infrastructure and automation, improving reliability and incident response, ensuring release readiness, and coordinating cross-functional customer and stakeholder commitments. The role combines director-level people leadership with hands-on technical oversight of production software and platform operations.

Design, build, and operate secure, portable platform infrastructure across public, private, hybrid, and on-premises environments. Containerize applications, develop infrastructure-as-code modules, and maintain CI/CD and GitOps workflows, releases, upgrades, and rollbacks. Operate Kubernetes, networking, security, observability, and production reliability systems. Lead architecture and engineering standards, improve cloud portability, support customer-controlled deployments, and mentor engineers across teams.

Own the vision, strategy, roadmap, specifications, and delivery of AI and ML-driven enterprise products. Collaborate with customers, engineering, design, marketing, sales, and presales to define use cases, develop features, manage dependencies, ensure quality, support go-to-market efforts, and evangelize products. Monitor market trends and competitors while building strong stakeholder relationships.

Own full enterprise sales cycle for net-new customers, build territory and pipeline, engage C‑suite stakeholders, run consultative discovery and ROI-driven business cases, design and execute POCs, partner with solutions engineering and product, and consistently achieve or exceed ARR targets and expansions.

Own quality engineering for an AI-enabled decision-support system. Develop test strategy, acceptance criteria, automated functional, integration, performance, and load testing, and CI/CD release gates. Build evaluation sets, audit automated decisions, measure errors and user overrides, maintain release evidence, and govern rollback criteria. Partner with product, engineering, platform, customers, and vendors while independently holding releases to acceptance standards. This fully remote role requires occasional travel and an active Secret clearance.

Own quality engineering for an AI-enabled decision-support system. Develop test strategy, translate acceptance criteria into automated tests, integrate coverage into CI/CD release gates, and perform functional, integration, performance, and load testing. Build evaluation sets, audit model decisions, measure errors and overrides, document release evidence, and maintain rollback criteria. Coordinate user acceptance testing and independently govern releases. The role requires strong coding, statistical literacy, audit-ready documentation, active Secret clearance, and up to 25% travel.