Staff Software Engineer

Omada Health is a digital care provider focused on empowering individuals to achieve their health goals through sustainable behavioral change. The Staff Software Engineer will lead the modernization and scalability of Omada's B2B platform, focusing on re-architecting complex systems and designing high-performance data pipelines.

Responsibilities:

• Lead architecture, system design and engineering efforts for high-scale, data-intensive B2B systems supporting eligibility, billing, marketing, and file ingestion
• Design and implement batch and real-time processing architectures that are reliable, observable, and performant
• Drive efforts in database performance optimization, schema design, and long-term scalability planning across multi-terabyte PostgreSQL and other persistent stores
• Partner closely with product, infrastructure, and operations teams to deliver resilient, maintainable systems that balance business needs with technical excellence
• Identify and lead engineering-wide initiatives that improve scalability, developer efficiency, or data quality
• Mentor and coach engineers at all levels, and actively contribute to Omada’s engineering community through design reviews, technical talks, and shared best practices
• Contribute to modern, cloud-forward architecture across multiple product domains, ensuring our systems are designed to evolve gracefully and scale efficiently
• Use and advocate for AI-assisted development tools (e.g., Cursor, Claude) to enhance individual and team productivity
• Champion a culture of quality, observability, and reliability through strong DevOps principles and continuous improvement

Requirements:

• 10+ years of software engineering experience, with a significant portion spent on scalable systems architecture and performance optimization
• Proven success in re-architecting complex legacy platforms and implementing modern, maintainable solutions
• Strong programming experience with Ruby and Python, and comfort working across a modern stack (Rails, GraphQL, Django, Sidekiq)
• Deep understanding of relational databases (PostgreSQL, MySQL), performance tuning, and data modeling
• Hands-on experience with both batch and streaming data pipelines (e.g., SQS, Kafka, Kinesis, Airflow)
• Demonstrable mastery of API design, distributed systems, and cloud-native architecture (preferably AWS)
• Fluency in CI/CD, containerization, and infrastructure-as-code (Docker, Kubernetes, Terraform)
• Familiarity with monitoring and observability frameworks (Datadog, OpenTelemetry)
• Excellent communication and collaboration skills, with a proven ability to influence and deliver through others
• Growth mindset and genuine curiosity about new technologies, tools, and team approaches