Design, develop, and maintain large-scale backend systems, cloud services, and data processing pipelines. Build secure, reliable, and scalable distributed systems and APIs using Python and AWS, and collaborate with product, data science, mobile (iOS/Android/Web), QA, and UX partners to deliver digital health features with consistent backend APIs and data contracts. Develop cloud-native solutions using serverless and event-driven architectures, including AWS Lambda, API Gateway, DynamoDB, S3, SNS/SQS, and RDS. Automate infrastructure and repeatable deployments with Terraform and/or AWS CDK, and build and operate data engineering pipelines using data lakes and SQL/NoSQL data stores. Monitor and improve performance, availability, and operational reliability with observability tools such as Datadog, implementing alerting and on-call support practices as needed. Conduct code reviews and security checks, write unit tests, and automate functional testing where feasible. Promote cloud development, CI/CD, testing, operational excellence, and security and privacy compliance for sensitive health data. Mentor junior engineers and provide technical leadership through design reviews, architecture improvements, and knowledge sharing.
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Job Type
Full-time
Career Level
Senior