Staff Software Engineer L6

Keystone AI was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Keystone AI, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Keystone AI, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Staff Engineer L6 will lead development for various Keystone AI products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity. Duties and Responsibilities: Design, build and maintain scalable data pipelines and access patterns related to Healthcare; Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS; Document and estimate technical scope and design as needed; Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; Involve and drive a culture of collaborative reviews of designs, code and test plans; Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to; DevOps Focus – Utilize and advance continuous integration and deployment frameworks; Solve complex data issues and perform root cause analysis; Work across teams to resolve operational & performance issues; Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust; Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code; Facilitate alignment and clarity across teams on goals, outcomes, and timelines; Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving; Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and Maintain compliance with Keystone AI’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Keystone AI for the purpose of achieving operational and financial success. On Call Policy : Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs. Quality Architecture & Automation Design Architect scalable, maintainable test automation frameworks for API, UI, performance, and integration testing. Define quality gates, automation standards, test strategies, and platform-wide QA best practices. Build reusable automation libraries and pipelines for distributed systems, microservices, and multi-tenant platforms. Produce design docs outlining test approaches, data strategies, risk mitigation, and automation architecture. Quality Engineering Excellence Drive testability across the SDLC—shifting left with early automation, code quality checks, and static analysis. Ensure comprehensive automated coverage across unit, integration, contract, e2e, regression, and performance tests. Raise the bar on reliability, performance, security, and observability through automated validation. Implement CI/CD-driven test automation with zero-touch pipelines and automated quality checks. Establish and monitor quality-related SLIs/SLOs (e.g., defect leakage, coverage, MTTR, test flakiness). Leadership & Collaboration Set technical direction for automation strategy, quality engineering maturity, and tooling adoption. Mentor engineers and SDETs in automation, test design, CI/CD pipelines, and quality practices. Collaborate with product, SRE, DevOps, security, and engineering teams to ensure test coverage for every requirement. Foster a culture of quality, reliability, and continuous improvement across the organization. Compliance & Policy Enforce quality controls aligned with HIPAA, regulatory, and security standards. Implement automated compliance checks, secure test data handling, and audit-ready QA processes. Ensure adherence to internal policies, privacy standards, and organizational mission. Minimum Qualifications Experience: 15+ years in Quality Engineering, Test Automation, or Software Engineering with heavy automation focus for distributed, large-scale systems (multi-tenant, virtualization, high-performance computing)—ideally in healthcare. Automation & Frameworks: Deep expertise in automation frameworks (Selenium, Playwright, Cypress, Appium, REST/GraphQL API automation). Strong experience in unit testing, integration testing, contract testing, e2e testing, and performance testing. Programming & Tools: Strong coding expertise in .NET 8/C#, Node.js, Angular 18+ and scripting languages (Python, TypeScript). Experience building test frameworks from scratch. Cloud & DevOps: Hands-on experience with AWS; Azure DevOps CI/CD; test orchestration; IaC; observability tooling. Experience implementing fully automated pipelines with multi-stage validation. Data & Storage: Familiarity with SQL Server, Snowflake, PostgreSQL— especially test data creation, schema validation, and data quality automation. Quality: Proven ability to drive test automation maturity, reduce manual testing, eliminate flakiness, and improve reliability through automation. Experience with monitoring, proactive stability improvements, and automated alerting. Containers & Distributed Systems: Proficient in test automation for microservices, containerized environments, and orchestrated systems (Docker/Kubernetes). Nice to Have (Preferred) Experience with service meshes and asynchronous/event-streaming systems (Kafka, SQS, SNS). Advanced performance testing and benchmarking experience (k6, JMeter, Gatling). Security automation experience: vulnerability scanning, static analysis, secrets validation. Experience leading org-wide automation transformations, platform migrations, or quality initiatives. Education Bachelor’s degree in computer science, Software Engineering, Information Technology, or equivalent practical experience. Work Environment Primarily sedentary; ability to sit for extended periods. Occasionally lift to 10 lbs. Predominantly office/indoor working conditions. Travel This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply . Keystone AI is most interested in finding the best candidate for the job , and you may be just the right person for this or other roles. By embracing inclusion , we enhance our work environment and drive business success. Keystone AI strives to provide equal opportunit ies to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Keystone AI is proud to be an equal opportunity workplace . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or v eteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link