Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the strategic direction of backend and full-stack engineering, architects scalable distributed systems and microservices, and drives modernization, reliability, security, and performance initiatives. Designs APIs, data architectures, pipelines, infrastructure, and observability practices; delivers customer-facing service improvements; establishes engineering standards; and mentors engineers. Collaborates across product and technical teams to make architecture and business trade-offs and lead large-scale initiatives from vision through production.

Leads strategy, solutioning, and writing for complex federal proposals valued at $25M to $1B+. Shapes win themes, ensures compliance, identifies risks, partners with capture and solution teams, improves proposal operations, and mentors proposal staff. Supports multiple pursuits, large IDIQs, task orders, and AI-enabled proposal workflows while tailoring technical and management volumes to customer priorities and evaluation criteria.

Designs cloud solutions for federal customers, leads technical proposal development, translates agency requirements into architectures, and builds cloud proofs of concept. Responsibilities include infrastructure as code, containers, Kubernetes, CI/CD, data and AI/ML pipelines, technical workshops, cloud cost modeling, compliance with FedRAMP and ATO requirements, customer presentations, and transitioning successful prototypes to delivery teams.

Senior Agile Business Analyst supporting a federal case management modernization program. Responsibilities include backlog decomposition, requirements elicitation, user story development, process mapping, customer journey mapping, acceptance criteria, validation, risk management, Agile ceremonies, and collaboration with Product Owners, architects, testers, developers, and court stakeholders. The role also supports testing, business process re-engineering, technical documentation, cloud solution implementation, and continuous process improvement.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Designs and maintains secure AWS cloud infrastructure, Amazon EKS clusters, and GitLab CI/CD pipelines. Integrates vulnerability scanning, compliance controls, secrets management, and container security into DevSecOps workflows. Supports MLOps/AIOps platforms, AI model deployment, data pipelines, monitoring, and automation. Ensures FedRAMP, NIST, audit, and internal security compliance while collaborating across engineering teams.

Provides enterprise technical leadership for cloud and network modernization across DoD environments. Engineers multi-cloud integrations, secure connectivity, cloud access points, routing and switching, data center technologies, F5 ADC solutions, and Zero Trust architectures. Leads migration planning, compliance with DoD security frameworks, Tier 3/4 troubleshooting, technical documentation, executive recommendations, and cross-disciplinary initiatives. The hybrid role supports DLA and requires periodic onsite work for NIPR/SIPR operations.

Owns enterprise ITSM and related platforms in a secure environment. Configures, maintains, troubleshoots, and extends COTS applications; builds API, webhook, middleware, directory, and scripting-based integrations; develops workflows, automations, utilities, and lightweight applications; and resolves authentication, plugin, and configuration issues. The role translates operational needs into maintainable technical solutions, documents implementations, improves reliability, and works independently with stakeholders and adjacent technical teams.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and enhance scalable full-stack applications and microservices using React and Java or Python. Diagnose performance and architectural issues, develop production-grade user interfaces, collaborate in Agile environments, and deliver cloud-based solutions. The role includes end-to-end implementation ownership, technical decision-making, team leadership, mentoring, and applying AI-assisted development tools. Work is remote eligible and supports mission-critical customer systems.