Senior AWS Engineer
AWS Python Backend / Data Engineer
About the Role
We’re a health tech startup building reliable, secure systems that process sensitive health data at scale. We’re looking for a Senior Backend / Data Engineer to help design, build, and run our core backend and data infrastructure to support our applications and pipelines.
This is a hands-on role with real ownership across backend services, data pipelines, and cloud infrastructure.
While we support flexible working, this is a hybrid role . We value in-person collaboration and expect the team to meet from time-to-time for planning, design sessions, and team alignment.
What You’ll Do- Build serverless and containerised services on AWS
- Design data pipelines and analytics workflows (Athena / Parquet)
- Develop event-driven systems using SQS and Step Functions
- Create and maintain GraphQL APIs
- Work with DynamoDB and Postgres
- Write production-quality Python
- Manage infrastructure with Terraform / Terraform Cloud
- Improve reliability, scalability, and observability
AWS (Lambda, ECS, SQS, Step Functions, Cognito) · Terraform · Terraform Cloud · Docker · GraphQL · Athena · Parquet · DynamoDB · Postgres · GitLab · Python
What We’re Looking For- Senior-level experience in backend and/or data engineering
- Strong AWS and cloud-native architecture experience
- Experience running systems in production
- Pragmatic, ownership-driven mindset
- Comfortable working in a hybrid setup with regular in-person collaboration
- Experience in health tech, regulated environments, or sensitive data
- Hybrid working with regular in-person collaboration
- Meaningful work in healthcare
- Competitive salary
- Small, experienced engineering team