Sr. SDET Engineer
Listed on 2026-06-13
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Software Development
Software Engineer, DevOps, Cloud Engineer - Software
Are you interested in harnessing technology and AI to transform healthcare? At Xi Fin , we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and healthcare systems manage complexity, drive better outcomes, and stay focused on what matters most:
patient care
. We’re on a mission to simplify the business side of healthcare—and we know that mission takes people from all backgrounds and experiences. Whether you’re early in your career or bringing years of experience, we welcome your perspective, curiosity, and passion. We value individuals who ask questions, challenge the status quo, and want to grow while making a real difference.
The Sr. Software Development Engineer in Test (SDET) Engineering will work in a highly collaborated agile environment across all stages of the software development cycle. This role involves architecting, designing, building and extending test automation solutions and tooling to enhance the quality of our products.
The ideal candidate will possess a deep expertise in object‑oriented design principles, automation design patterns, and best practices to improve testability of complex integration systems, reduce manual test execution, and accelerate test efficiency.
You will play a critical role in identifying and reducing defects earlier in the cycle. This includes building and driving the adoption of automation framework solutions and tools, as well as evaluating the quality, capability and supportability of our platforms from a systems perspective.
You will prioritize and coordinate multiple projects simultaneously and partner with others across functions to achieve key milestones and goals. Strong communication skills are essential to lead cross‑functional engineering teams as a technical leader (not the manager) to establish new approaches and to mentor top technical talent.
This is an onsite position at our offices in either San Diego, CA or Dallas, TX. This position is not eligible for employment sponsorship now or in the future. Applicants must have current and ongoing authorization to work in the United States.
How you will make an impact- Architect, design, build tools and frameworks; propose enhancements to existing frameworks.
- Evaluate latest automation technologies and AI‑powered tools for integration into existing automation frameworks.
- Identify and implement quality strategies and improvements across the organization.
- Lead and contribute to automation of test scenarios throughout the project life cycle that conform to testing standards, business requirements, and architectural/design standards.
- Optimize test automation processes based on quality metrics.
- Develop comprehensive documentation (such as automation design, tool evaluation, verification deliverables) consistent with department quality standards.
- Collaborate with developers in reviewing unit test and integration results for coverage analysis.
- Establish and monitor automation code coverage and create real‑time quality dashboards.
- Train and mentor cross team members on automation best practices.
- Technical leadership through influence: ability to guide peers and cross‑functional teams with architecture insights and best practices without necessarily having formal management authority.
- Detail‑oriented yet big‑picture thinker: skilled at spotting subtle performance bottlenecks, edge cases, and integration issues while keeping sight of system scalability and long‑term maintainability.
- Continuous learner / innovation mindset: stays curious about new tools, AI enhancements, performance technologies, and proactively evaluates and experiments to improve workflow and quality.
- Collaborative communicator with empathy: translates technical risk/complexity into business terms, listens to stakeholders’ constraints, and fosters trust when driving difficult quality decisions.
- Bachelor’s degree in Computer Science or other Engineering discipline (or equivalent experience).
- 5+ years of experience building UI, API, performance automation…
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