Key responsibilities
• Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience
• Build and maintain scalable backend services, APIs and batch/stream data pipelines in a healthcare data environment.
• Develop and optimize calculation/risk engines that process large volumes of claims and clinical data.
• Write well-tested, production-grade code and participate in code reviews, CI/CD and on-call rotation.
• Partner with product and data teams to translate requirements into reliable, performant services.
Skills - Position I
• Python • SQL • AWS
• Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience
• Strong production experience building services and data pipelines; relational database design and query optimization; deploying and operating workloads on AWS (e.g., ECS/EKS, Lambda, RDS, S3).
• Experience with large-scale data processing (Spark, Airflow, dbt or similar).
• Healthcare / claims / EHR data exposure.
• Microservices, event-driven architecture, containerization (Docker/Kubernetes).
• Infrastructure-as-code (Terraform).
Skills AI / ML - Position II
• Python • SQL • AWS
• Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).
• Claude code LLM / GenAI, RAG, prompt engineering, vector databases.
• MLOps tooling (MLflow, Kubeflow, model registries).
• Healthcare data and clinical NLP experience.
• MLE with python, databricks, AWS, sql, nlp
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