Senior Software Engineer (Python)

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 Senior Software Engineer - Python Developer (ML Engineering/MLOps) to join our innovative team. In this role, you'll be a key contributor to designing, developing, and maintaining our AI-powered healthcare technology solutions, with a focus on machine learning operations, model deployment, and Python-based backend systems that power our healthcare platform at scale.

Location: Florida, US; Remote, US

✅ Responsibilities:

• Develop scalable, high-performance Python applications that can handle significant data volumes and interface over gRPC

• Design, build and maintain highly observable Python microservices that work seamlessly with our Golang service backend

• Create reproducible, scalable, and monitored ML workflows from experimentation to production

• Implement robust data processing pipelines for healthcare data

• Build and maintain RESTful APIs and backend services that integrate with our ML systems

• Collaborate with data scientists to operationalize models and improve model performance

• Establish MLOps best practices, including CI/CD for ML, model versioning, and monitoring

• Troubleshoot, debug, and optimize existing ML systems for performance and reliability

• Work with cross-functional teams to define requirements and implement new features

• Mentor junior engineers and contribute to engineering excellence

Role Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 5+ years of professional Python development experience in production environments

• Proven experience building and maintaining Python applications at scale

• 3+ years of experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)

• Strong experience with MLOps practices and tooling (model versioning, feature stores, experiment tracking)

• Experience deploying and monitoring ML models in production environments

• Proficiency with containerization (Docker) and orchestration (Kubernetes)

• Experience with cloud platforms (AWS, GCP, or Azure) and their ML services

• Strong understanding of data processing techniques and libraries (Pandas, NumPy)

• Proficiency with version control systems (Git) and CI/CD pipelines

• Strong problem-solving skills and attention to detail

• Excellent communication and teamwork skills

⭐Preferred Experience:

• Experience optimizing Python code for performance and scalability

• Familiarity with healthcare data standards (e.g., FHIR, HL7) and PHI regulations

• Experience with distributed computing frameworks (Spark, Dask)

• Knowledge of database technologies (PostgreSQL, MongoDB)

• Experience with Python web frameworks (Django, Flask, FastAPI)

• Understanding of microservices architecture

• Previous experience in healthcare technology or related fields

• Understanding of Agile development methodologies

• Experience with automated testing for ML systems and Python applications

• Familiarity with model interpretability techniques and tools

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.

Benefits & Perks

Join us in our mission to transform healthcare while building a life that works in harmony both in and outside the office.

• Comprehensive benefits

• 401k program with employer match

• New office in Winter Park, FL

• Work From Home/Remote options

• Inclusive culture

• Employee Stock Option Plan

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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.