Senior QA Automation Engineer responsible for maintaining and evolving automated testing environments, integrating tests into CI/CD pipelines with GitHub Actions, and guiding teams in adopting modern QA practices.
Responsibilities
Automate tests and QA platform
Maintain and improve automated testing environment
Design, develop and integrate components for test execution
Lead the architectural vision for large-scale machine learning systems that power personalized care and treatment intelligence at Hims & Hers.
Compensation
Competitive salary & equity compensation for full-time roles
Responsibilities
Define and drive the architectural vision for ML and LLM systems that support treatment recommendation, personalization, and intelligent care delivery at scale
Establish foundational design patterns and infrastructure practices that ensure systems are scalable, resilient, secure, and maintainable
Work hands‑on with Python and ML frameworks like PyTorch to prototype, optimize, and guide implementation of complex model pipelines and platform components
Align high‑impact technical decisions with long‑term product strategy by partnering with platform, product, and clinical teams
Architect and evolve robust ML infrastructure to support continuous training, real‑time inference, evaluation, and observability
Requirements
Master’s degree or PhD in Computer Science, Machine Learning, or a related field
Hands‑on quality engineering contributor responsible for building, maintaining, and executing automated solutions that ensure the reliability, stability, and usability of Allegiant’s software systems.
Responsibilities
Develop, maintain, and execute automated tests across UI and API layers using modern automation frameworks.
Support smoke testing, release validation, and production verification activities to ensure system stability.
Contribute to and enhance existing automation frameworks following established standards and best practices.
Integrate automated tests and validation checks into CI/CD pipelines to enable fast, reliable feedback.
Partner with developers, QA, and business stakeholders to validate functional and non functional requirements.
Requirements
Bachelor’s degree in computer science, Information technology, Information Systems or related field (or equivalent practical experience)
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