Top Tech Jobs & Startup Jobs in Seattle, WA

Leads and develops software engineering teams while remaining hands-on with Java and Spring Boot development. Responsibilities include setting architecture and technical roadmaps, delivering scalable enterprise applications, guiding Agile planning, improving CI/CD and DevOps practices, supporting production reliability, mentoring talent, and partnering with product and business stakeholders. The role manages hiring, performance, succession planning, and engineering excellence initiatives.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Develop and support the Fusion Governance, Risk, and Compliance platform, including workflows, dashboards, assessments, integrations, data migrations, and enterprise application enhancements. Translate business requirements into technical solutions, troubleshoot platform and integration issues, support deployments and upgrades, and maintain secure, reliable production systems. Collaborate with product managers, architects, analysts, vendors, and business partners while supporting risk, compliance, audit, internal controls, and third-party risk programs.

Own the strategy, roadmap, prioritization, and adoption of an enterprise Infrastructure as Code and Engineering as Code product. Translate customer and engineering needs into capabilities, user stories, and acceptance criteria; partner with infrastructure, platform, security, and operations teams; guide technical trade-offs; and measure adoption, reuse, automation, reliability, compliance, and recovery outcomes. The role also drives Agile delivery, customer onboarding, documentation, and coaching of product management colleagues.

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Leads architecture, design, development, testing, deployment, monitoring, and production ownership for complex software products. Guides engineering practices including TDD, pair programming, CI/CD, microservices, and distributed systems. Provides technical leadership across product teams, facilitates Agile ceremonies, resolves technical issues, and manages medium to large engineering teams. Advises direct reports on priorities, risks, budgets, administrative policies, and sourcing decisions while driving KPI achievement.

Leads enterprise data architecture strategy, modernization, and implementation across cloud data platforms, data lakes, lakehouses, warehouses, analytics, and AI environments. Designs secure, scalable data models, ingestion and integration patterns, and cloud-native architectures. Builds prototypes, evaluates emerging technologies, guides engineering teams, and drives adoption of strategic data products. Partners with executives, business stakeholders, architects, security, and delivery teams to establish enterprise data practices and architectural direction.

Performs property and casualty insurance reserving projects using actuarial, statistical, and predictive modeling techniques. Reviews data quality, develops moderately complex reserving methodologies, manages project contributions, documents analyses, communicates findings to technical and nontechnical stakeholders, and recommends assumptions and methodologies. The role requires a bachelor’s degree and active pursuit of Casualty Actuarial Society examinations.

Leads data engineering teams in designing, developing, and supporting scalable batch and streaming data solutions. Responsibilities include data pipeline development, architecture, governance, security, platform optimization, production support, technical mentorship, stakeholder collaboration, and delivery leadership. The role requires hands-on engineering with Python or similar languages, modern data technologies, cloud platforms, DevOps practices, and people-management responsibilities.

Develop and support enterprise full-stack applications using Java, Spring Boot, Python, React, and cloud technologies. Build secure APIs, microservices, integrations, chatbot interfaces, and conversational UI features. Deploy cloud-native applications with Azure or AWS, Docker, and Kubernetes while contributing to CI/CD, testing, monitoring, security, and architecture. Collaborate with product, engineering, architecture, and business teams in an agile environment.