Staff Software Engineer (AI/ML Platform)

Humata Health, Inc•Winter Park, FL

93d•Remote

About The Position

Humata Health Inc. is seeking a skilled and passionate Staff Software Engineer to join our innovative team, with a focus on our AI/ML Platform and MLOps infrastructure. In this critical, high-leverage role, you'll be a core contributor to the design, architecture, and long-term vision of our scalable, secure, and multi-language backend systems that power our healthcare platform. You'll drive best practices across our ML Engineering and MLOps disciplines, ensuring reliability and performance at scale.

Requirements

10+ years of professional experience in software engineering, with a significant focus on building and operating large-scale, highly available backend systems.
5+ years of experience in ML Engineering, MLOps, or building data-intensive platforms.
Proficiency in at least one of Python, Go, or JavaScript/TypeScript, with a deep understanding of software design patterns and architectural best practices.
Demonstrated experience in designing and scaling complex systems using microservices, containers (Docker), and orchestration (Kubernetes).
Proficiency in at least one cloud platform (AWS, GCP, or Azure) and their ML services.
Proven ability to lead technical projects independently from conception through deployment
Exceptional problem-solving, communication, and interpersonal skills, with a track record of driving technical consensus and effective knowledge transfer.

Nice To Haves

Previous experience as a Staff, Principal, or equivalent technical leadership role.
Deep practical knowledge of MLOps tooling and principles and their application in regulated environments (e.g., experiment tracking, model serving frameworks, robust deployment strategies).
Experience operating within healthcare technology or other highly-regulated industries, with familiarity with standards like FHIR, HL7, and PHI/HIPAA regulations.
Experience with polyglot environments (e.g., Python for ML, Go for services).
Advanced knowledge of security best practices, especially concerning data encryption and access control for sensitive data.
A strong history of mentoring and contributing to open-source or internal engineering communities.

Responsibilities

Own the long-term technical roadmap, design, and implementation of highly available and performant services and infrastructure across the AI/ML platform, utilizing languages such as Python, Go, and/or JavaScript/TypeScript.
Serve as a technical leader and subject matter expert, driving alignment across engineering, data science, product, and security teams on platform requirements, performance, and best practices.
Define and implement the strategic vision for MLOps, including advanced model versioning, feature stores, drift monitoring, and CI/CD pipelines that handle complex, regulated healthcare data with rigorous security standards.
Lead the development of resilient, high-throughput backend services and APIs (e.g., RESTful, gRPC) that seamlessly integrate various components of our ML system and other core services (Golang, Python).
Mentor and coach senior and mid-level engineers, raising the bar for engineering excellence, system observability, testing, and documentation across the entire organization.
Act as a critical escalation point for complex production issues, debugging and optimizing performance bottlenecks across services and infrastructure.

Benefits

Competitive Compensation: Enjoy competitive base compensation, equity through our Employee Stock Option Plan, and bonus-eligible roles
Comprehensive Benefits: Full benefits package including unlimited PTO and 401k program with employer match
Growth Opportunities: Advance your career in a fast-paced, high-impact environment with ample professional development
Inclusive Culture: Join a diverse workplace where your ideas and contributions are valued

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