About this role
- Design, build, and maintain backend services in Python (FastAPI) powering Aedeon.
- Design and expose clean, well-documented REST APIs for frontend consumption.
- Own the release cycle end-to-end, release calendar, versioning, and coordinating deployments across staging and production.
- Manage and evolve Kubernetes deployments, including writing and maintaining Helm charts.
- Understand CI/CD pipelines in GitHub Actions, even without having built a lot of them.
- Work with AWS infrastructure supporting Aedeon's services.
- Monitor production health via CloudWatch and take part in on-call/incident response when things break.
- Work with PostgreSQL, including query optimization.
- Build and maintain durable workflows using Temporal for long-running or fault-tolerant processes.
- Collaborate closely with frontend engineers on API design and contracts, you won't own frontend code, but you'll understand how it consumes your services.
- 4 to 6 years of professional software engineering experience.
- Strong Python skills, ideally with FastAPI (Django/Flask experience also considered).
- Solid, hands-on production experience with Kubernetes deployments, services, config, debugging, and performance & cost improvements.
- Experience writing and maintaining Helm charts.
- Working knowledge of AWS services.
- Comfortable designing REST APIs with frontend consumers in mind.
- Experience with PostgreSQL.
- A genuine ownership mindset, comfortable being accountable for a release going out clean and on time.
- Docker and general containerization fundamentals.
- Strong collaborator, comfortable working closely with the frontend team to align on API contracts and integration needs.
- Working knowledge of RabbitMQ (or similar message queuing systems).
- Experience with Temporal (temporal.io) or a similar durable workflow orchestration engine, you'll be defining and running long-running, fault-tolerant workflows, not just calling APIs directly.
- Have experience with CloudWatch or similar observability/monitoring tools
- Have exposure to Terraform or other infra-as-code tools
- Have experience with additional message queues (e.g., SQS, Kafka)
- Have experience building and maintaining CI/CD pipelines (GitHub Actions a plus)
Tech stack
PythonFastAPIKubernetesAWSPostgreSQLDjango