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Senior I/O Engineering Consultant - Optum
Software Engineer
Lead complex I/O engineering projects, architecting scalable data pipelines and AI solutions on AWS, leveraging Python, Node.js, and Kubernetes to deliver high‑performance, secure healthcare applications.
About the role
Key Responsibilities
- Design, develop, and maintain high‑throughput I/O systems for healthcare data ingestion and processing.
- Architect and deploy scalable, secure microservices on AWS using Docker, ECS/EKS, and CI/CD pipelines.
- Implement machine learning pipelines for predictive analytics, integrating Python and Node.js services.
- Collaborate with cross‑functional teams to define data models, API contracts, and performance benchmarks.
- Mentor junior engineers, conduct code reviews, and enforce best practices in security and DevOps.
Requirements
- 8+ years of software engineering experience with a focus on I/O and data pipelines.
- Proficiency in Python, Node.js, and AWS services (Lambda, S3, RDS, DynamoDB).
- Hands‑on experience with Kubernetes, Docker, and CI/CD tooling.
- Strong knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering concepts.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonnodejsawsmachine learningkubernetes