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.

Florida, US;
Remote, US

• 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

• 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 (Tensor Flow, 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, Num Py)
• Proficiency with version control systems (Git) and CI/CD pipelines
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork skills

• 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 (Postgre
  
  SQL, Mongo
  
  DB)
• 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

• 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

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, skill set, 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.