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Humata Health, Inc

Humata Health, Inc

via Indeed

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Staff Software Engineer (AI/ML Platform)

Anywhere
full-time
Posted 11/19/2025
Verified Source
Key Skills:
TypeScript
JavaScript
Node.js
React
Next.js
RESTful API
AWS
CI/CD
MLOps
Python
Go
Kubernetes
Docker

Compensation

Salary Range

$120K - 180K a year

Responsibilities

Design and implement scalable, secure AI/ML backend systems and MLOps infrastructure, lead technical strategy, mentor engineers, and ensure high system performance and reliability.

Requirements

10+ years software engineering with 5+ years in ML Engineering/MLOps, proficiency in Python, Go, or JavaScript/TypeScript, experience with microservices, containers, cloud platforms, and leadership skills.

Full Description

⚙️What we’re making: We are creating a product that will allow health insurance companies to automate prior authorization document processing responsibly. 🔎What we're looking for: 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. Location: Florida, US; Remote, US ✅ 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. Role 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. ⭐ Preferred Experience: • 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. This role is expected to begin in January 2026. 🚀 Why Join Humata Health? • Impactful Work: Contribute to innovative solutions that improve healthcare efficiency and patient outcomes • Remote Flexibility: Enjoy working remotely while being part of a collaborative team, with access to our new office in Winter Park, FL • 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 - Pay Transparency Humata Health will provide pay transparency information upon application to those in qualifying jurisdictions. Our salary ranges are based on competitive pay for our company’s size and industry. They are one part of the total compensation package that may also include equity, variable compensation, and benefits. Individual pay decisions are ultimately based on several factors, including qualifications, experience level, skillset, geography, and balancing internal equity. - Humata Health is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. - Join us in our mission to transform healthcare while building a life that works in harmony both in and outside the office.

This job posting was last updated on 11/25/2025

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