Sr. Software Engineer

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). 8–12 years of software engineering experience. Expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). Demonstrable capability in designing, implementing, and securing RESTful web services. Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes). Experience with AWS, GitHub, and continuous integration pipelines. Proven track record of architecting and delivering scalable systems in production environments. Experience mentoring engineers and raising the technical bar. Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability. Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks). Comfortable operating in ambiguity and driving clarity.

Design, build, and deploy scalable AI services and computational imaging pipelines to production. Design extensible system architectures and make pragmatic trade-offs. Own full lifecycle delivery of complex features. Ensure high availability and observability of services. Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation. Lead technical design reviews and system decomposition efforts. Proactively identify risks and gaps in operational or architectural resilience. Collaborate closely across AI and engineering to reduce knowledge silos. Design and implement robust testing mechanism and validation strategies. Contribute to necessary technical documentation for regulatory submissions.