Jobs at Natera

Leads Natera’s Software Engineering and DevOps team within Data Science Production Engineering. Responsibilities include managing engineers, designing and maintaining AWS cloud and data platforms, developing automation and production software, optimizing infrastructure performance, overseeing testing and deployment, enforcing quality and compliance procedures, maintaining technical documentation, and coordinating infrastructure roadmaps with cross-functional stakeholders. The role supports regulated genomics and medical diagnostics environments and requires expertise in Python, databases, AWS, Linux, software development, and genomics data.

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.

Leads the design, development, maintenance, and technical direction of Java and Spring Boot backend microservices supporting commercial order processing. Responsibilities include architecture decisions, mentoring engineers, code reviews, stakeholder collaboration, software lifecycle ownership, quality initiatives, QA support, and building highly available systems using AWS, Kafka, GraphQL, databases, and infrastructure-as-code technologies.

Leads data product engineering across Natera’s data platform, building certified, AI-ready analytics products and self-service experiences. Establishes standards, golden paths, data quality, governance, observability, and measurable delivery practices across domains. Drives AI-native engineering, agentic development, and productivity improvements while hiring and developing engineering teams. Requires hands-on technical leadership across Python, SQL, dbt, Snowflake, AWS, orchestration, and regulated healthcare data environments.

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.

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.

Own and operate the Workday platform across HCM, Payroll, Recruiting, Prism, and Illuminate. Configure modules, build reports and integrations (EIB, Studio, APIs, RaaS), manage security models, tenant lifecycle, release readiness, analytics, automation, and compliance while partnering with HR, Payroll, Finance, and IT stakeholders.

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.