Senior Automation QA Engineer (SDET)

Software Development Engineer in Test (SDET)

We're looking for an experienced SDET to join a team building and testing large-scale data platforms within a Benefits domain. You'll work closely with Engineers, Product Managers, QA Engineers, Data Engineers, and Technical Managers to ensure high-quality, reliably automated releases — supporting a system that runs millions of automated tests per year, fully integrated into CI/CD pipelines.

What you'll do:

• Analyze front-end and back-end systems for quality and reliability

• Design and deploy automated testing at scale

• Build and execute automated test cases to ensure robust, reliable service pipelines

• Perform integration testing across systems and interfaces (APIs, databases, flat files)

• Partner with engineering teams on requirements and technical design reviews to bake automation into new features from the start

• Evaluate and evolve existing data test automation frameworks

• Recommend and implement modern automation tools and techniques

• Maintain and improve automated tests within CI/CD pipelines

• Champion quality ownership across the team

• Enable fast, direct feedback loops on every code submission

What we're looking for:

• BS in Computer Science or equivalent practical experience

• 4+ years as an SDET or in software development, using C#, Python, or Go

• Strong grasp of Object-Oriented Programming

• Comfortable working across Windows and Linux

• Experience with a major cloud platform (Azure, AWS, or GCP)

• Hands-on experience building and maintaining automated test frameworks

• Performance testing experience (JMeter, Locust, Gatling, or K6)

• Experience spotting quality issues in data collection, storage, and processing

• Solid experience with relational databases (SQL Server, MySQL, Postgres, Oracle, MariaDB)

• Experience with streaming platforms (Kafka, RabbitMQ, Pub/Sub)

• Strong Git workflow experience

• CI/CD platform experience (Azure DevOps, Jenkins, CircleCI, GitLab, Codefresh, Rundeck)

• Root Cause Analysis and SLA/incident management experience

• Experience debugging and parsing data pipelines

• Solid QA methodology foundation: functional, performance, regression, black-box, white-box testing

• A genuine passion for learning and clearly explaining technical concepts

Nice to have:

• Healthcare domain knowledge — especially EDI, NCPDP, and transaction processing in pharmacy/PBM contexts

• Experience in HIPAA-, PCI-, or other high-security coding environments

• Open source contribution history