Humata Health Logo

Humata Health

Staff Software Engineer (AI/ML Platform)

Reposted 8 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
The Staff Software Engineer will lead the design and architecture of the AI/ML platform, mentor engineers, and drive technical direction for MLOps infrastructure in healthcare automation.
The summary above was generated by AI

⚙️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.

Top Skills

AWS
Azure
Docker
GCP
Go
JavaScript
Kubernetes
Python
Typescript

Similar Jobs

25 Minutes Ago
Remote or Hybrid
Boston, MA, USA
26-26 Hourly
Internship
26-26 Hourly
Internship
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
This internship involves conducting market research, developing content, supporting advocacy programs, and collaborating with marketing teams to enhance customer experiences.
Top Skills: HighspotSalesforce
25 Minutes Ago
Remote or Hybrid
Denver, CO, USA
90K-90K Annually
Entry level
90K-90K Annually
Entry level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
The Sales Development Representative identifies and qualifies sales opportunities for APM software, partners with field sales, and conducts research to generate qualified leads.
Top Skills: Salesforce
25 Minutes Ago
Remote or Hybrid
Boston, MA, USA
26-26 Hourly
Internship
26-26 Hourly
Internship
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Support marketing efforts and contribute to Go-to-market plans. Collaborate on messaging and market research in observability. Ideal for Marketing students.
Top Skills: Ai Tools

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account