Top Tech Jobs & Startup Jobs in Seattle, WA

Leads a global software engineering team delivering backend services, integrations, platform migrations, product launches, and production support. Provides technical leadership in architecture, coding, testing, code review, Agile project delivery, and AI-assisted development within a regulated biotech environment. Manages hiring, mentoring, performance, stakeholder collaboration, and process improvement while establishing quality, security, traceability, and compliance standards.

Build and operate scalable data pipelines, governed data models, semantic layers, and analytics products. Partner directly with business stakeholders to translate requirements into production-ready data and AI solutions. Develop SQL and Python applications, LLM and agentic workflows, retrieval systems, and automated testing. Ensure data quality, lineage, monitoring, reliability, cost efficiency, and compliance for PHI and genomic data. Collaborate with platform and AI teams on architecture, governance, CI/CD, and operational excellence.

Manage federal, state, local, and international tax compliance, including income, sales and use, VAT, withholding, and property taxes. Oversee tax filings, reconciliations, projections, audits, controls, regulatory monitoring, third-party consultants, and tax planning. Drive process improvements, support internal and external audits, prepare journal entries, and communicate tax risks and opportunities to leadership. The role may require occasional evenings or weekends.

Leads and coaches an inside sales team, develops sales strategies and call campaigns, manages budgets and performance goals, maintains lead-generation processes, analyzes CRM and call metrics, and presents performance updates to senior management. Partners with Marketing, Sales, and other stakeholders to increase customer acquisition, revenue, market share, and retention.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Leads and operationalizes Natera’s enterprise data privacy program across commercial, clinical, and product environments. Responsibilities include privacy impact assessments, regulatory and contract reviews, privacy-by-design integration with engineering, data governance, responsible AI and analytics use, clinical research privacy, consent and compliance frameworks, and third-party data governance. The role builds scalable processes, advises senior stakeholders, and mentors privacy professionals while balancing regulatory risk with business enablement.

Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.

Embed with a business domain to map workflows, design agent-enabled future-state processes, build and connect production automation (LLMs, agents, RAG), run and monitor agents with observability and evals, and partner with domain leaders to deliver measurable KPI improvements.

Work with a business domain to map workflows, design agent-driven workflows, build and integrate agent and automation pipelines, deploy and run agents in production, monitor KPIs and observability, and iterate with human-in-the-loop checkpoints to reliably improve business outcomes.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.