Sr Software Engineer in Test

Natera is seeking a Senior Software Engineer in Test to own quality strategy for its commercial services and order-processing microservices. The role leads test architecture and automation, coordinates end-to-end testing across services and platforms, and mentors quality engineers to improve release confidence.

Responsibilities:

• Lead test strategy and quality architecture across the order processing domain, from unit tests through service-level, contract, and end-to-end coverage
• Design, build, and maintain the automation frameworks, test infrastructure, and test data strategy that support rapid, reliable release cycles
• Own end-to-end test coverage that spans multiple services and platforms in our ecosystem, coordinating flows that cross service boundaries, event streams, and UI surfaces
• Work closely with Product Managers and engineers to gather requirements, review designs for testability, define acceptance criteria, and identify risk early in the software lifecycle
• Own contract testing between our services and their consumers, regression suites, and non-functional testing including performance, load, and resilience
• Partner with QA and engineering peers to continuously raise the quality bar, improve release confidence, and reduce escaped defects
• This role works with PHI on a regular basis both in paper and electronic form and has access to various technologies to access PHI (paper and electronic) in order to perform the job
• Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire
• Must maintain a current status on Natera training requirements
• Employee must pass post offer criminal background check

Requirements:

• 5+ years of software test engineering / SDET experience with production-grade coding skills in Java
• BS degree in Computer Science or equivalent work experience
• Strong experience testing event-driven systems using Apache Kafka, including producer and consumer contract tests, event replay, and idempotency validation
• Proven experience designing end-to-end test coverage across many services and platforms in a heterogeneous ecosystem, where flows cross service, event, and UI boundaries
• Hands-on experience with Playwright for browser-based end-to-end automation
• Extensive experience with Test-Driven Development and Behavior-Driven Development, including contract testing using tools such as Pact or Spring Cloud Contract
• Experience building and maintaining CI test pipelines including flakiness triage, parallelization, and test result reporting
• Extensive knowledge of AI processes and procedures related to SDLC, with particular emphasis on AI-assisted test generation, flaky-test triage, and log analysis
• Strong knowledge of QA methodologies, test planning, system dependencies, and product integration phases
• Experience working with remote and hybrid teams including overseas contractors
• Experience mentoring engineers and driving technical best practices
• Experience with software development lifecycle processes including building, software configuration, releases, and deployment activities
• Experience with service-oriented and microservice architecture
• Experience testing software within the AWS ecosystem (EC2, Lambda, SQS, SNS, S3, etc.)
• Experience with GraphQL API testing, including schema and contract validation
• Strong relational database skills, with emphasis on test data management and validation strategy
• Demonstrated leadership skills with a solid analytical background
• Excellent organizational, communication, presentation, and facilitation skills
• Quality-first mindset with a bias toward automation, prevention, and shift-left
• Advanced Java programming for building and extending test frameworks
• Test tooling stack: JUnit, Mockito, Testcontainers, RestAssured or Karate, WireMock, Playwright, Cucumber, Gatling or k6, Pact
• Multi-service, multi-platform end-to-end test coordination across a heterogeneous stack
• SQL and NoSQL experience (MySQL, ElasticSearch, DynamoDB), applied to validation and test data management
• Test data management strategy, particularly for regulated data
• AWS services for test environments and validation
• Docker and container-oriented technologies
• Apache Kafka for event streaming and event-driven test scenarios
• GraphQL API testing
• Microservice architecture
• CI / CD (Gitlab)
• Claude / Cursor, MCPs, AI Agents, Skills, and other AI-assisted testing workflows
• Strong knowledge of Linux and command line shell scripting
• Familiarity with the Spring ecosystem (Spring Data, Spring Security, etc.) sufficient to read and extend service code
• Experience with distributed systems monitoring and observability tooling (Datadog, tracing) to diagnose failures in both test and production