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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.

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What You Should Know About Senior Software Engineer (Python), Humata Health, Inc

At Humata Health Inc., we're on a mission to revolutionize the healthcare industry by automating prior authorization document processing for health insurance companies. We are currently looking for a Senior Software Engineer (Python) to join our dynamic team in Winter Park, Florida. This is an exciting opportunity for someone who is passionate about leveraging technology to enhance healthcare solutions. As a Senior Software Engineer, you will play a pivotal role in designing, developing, and maintaining our AI-powered healthcare technology. You'll focus on Python-based backend systems and machine learning operations, contributing to a system that can effectively handle substantial data and deliver excellent performance. You'll be creating scalable applications and overseeing the development of microservices that seamlessly integrate with our Golang backend. Your expertise will drive the operationalization of machine learning models, empowering our platform to provide smarter healthcare solutions. You will also mentor junior engineers, ensuring the highest engineering standards prevail within the team. If you're someone who thrives in collaborative environments and enjoys tackling complex challenges while positively impacting healthcare, we would love to hear from you.

Frequently Asked Questions (FAQs) for Senior Software Engineer (Python) Role at Humata Health, Inc
What are the main responsibilities of a Senior Software Engineer at Humata Health Inc.?

As a Senior Software Engineer at Humata Health Inc., your responsibilities will include developing scalable, high-performance Python applications, creating and maintaining microservices, and operationalizing machine learning models. You will also establish MLOps best practices, troubleshoot existing ML systems, and collaborate with cross-functional teams to define and implement new features.

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What qualifications are required for the Senior Software Engineer position at Humata Health Inc.?

To qualify for the Senior Software Engineer role at Humata Health Inc., candidates should possess a Bachelor's degree in Computer Science or related fields, with at least 5 years of professional Python development experience in production environments. Additionally, experience with ML frameworks, MLOps practices, cloud platforms, and strong problem-solving skills are required.

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What technologies should a Senior Software Engineer at Humata Health Inc. be familiar with?

A successful Senior Software Engineer at Humata Health Inc. should be proficient in Python, familiar with ML frameworks such as TensorFlow and PyTorch, and have experience with Docker and Kubernetes. Knowledge of cloud services (AWS, GCP, Azure), data processing libraries (like Pandas and NumPy), and database technologies is also beneficial.

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How does Humata Health Inc. support the professional development of its Senior Software Engineers?

Humata Health Inc. encourages professional development through mentorship programs, collaborative projects, and opportunities to work with cutting-edge technologies in healthcare. As a Senior Software Engineer, you will have the chance to lead initiatives, share knowledge with junior engineers, and engage in continuous learning within an inclusive culture.

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What benefits does Humata Health Inc. offer to its Senior Software Engineers?

Humata Health Inc. offers a highly competitive benefits package for its Senior Software Engineers, including health benefits, a 401k program with employer match, remote work options, and an employee stock option plan. The company promotes a balanced work-life culture, ensuring employees thrive both in and out of the office.

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Common Interview Questions for Senior Software Engineer (Python)
Can you describe your experience with Python applications and how it relates to the Senior Software Engineer role at Humata Health Inc.?

When answering this question, showcase specific Python projects you've worked on, emphasizing scalability and performance. Discuss your role in the development process, any challenges you faced, and how you optimized the applications for production use.

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What is your understanding of MLOps and how have you implemented it in previous projects?

To answer this effectively, outline your experience with MLOps practices, including model versioning, CI/CD for ML, and how you've operationalized ML models in production. Provide examples of challenges you faced and how you ensured successful deployments.

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How do you approach debugging and optimizing existing systems?

Discuss your debugging methodology, the tools you use, and steps you take to identify performance bottlenecks. Provide examples of how you've improved system reliability and performance through optimization techniques.

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Can you explain a time when you collaborated with data scientists on a project?

Share specific examples of collaborative projects, focusing on your communication strategies, how you facilitated collaboration, and the outcomes of the project. Highlight the importance of understanding the data scientists' requirements to enhance ML model performance.

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What microservices architecture experience do you have?

Describe your practical experience with microservices architecture, including design challenges and how you overcame them. Discuss any specific patterns or techniques you applied to ensure seamless service integration.

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What role does version control play in your development process?

Outline your version control practices, focusing on how you use Git to manage changes in your projects. Discuss how it facilitates collaboration and ensures code quality within the development team.

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In your opinion, what are the best practices for managing ML workflows?

Discuss best practices you've implemented for managing ML workflows, including experimentation tracking, reproducibility, and monitoring. Highlight how these practices contribute to smooth production transitions of ML models.

Join Rise to see the full answer
What is your experience with cloud platforms in relation to machine learning?

Share your familiarity with cloud platforms like AWS or GCP, focusing on how you've utilized their ML services for model deployment and data processing. Discuss specific use cases and benefits you observed in past projects.

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How do you ensure the applications you develop are compliant with healthcare standards?

Explain your approach to staying informed about healthcare data standards and regulations. Discuss any previous experiences where you ensured compliance and the tools or strategies you used.

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What is your experience with automated testing for ML systems?

Discuss your experience with implementing automated testing in ML workflows, including unit tests and integration tests for both ML models and Python applications. Highlight how this practice enhances system reliability.

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DATE POSTED
April 3, 2025

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