Play a key role in data and platform team, working on backend services as well as setting up good SRE practices and guidelines.
Spend time building product and internal tools as well as building SRE guidelines and best practices cross-team.
Requirements
Hands-on experience with AWS (or equivalent cloud).
Containerization (Docker), Infrastructure as Code (CDK or Terraform), and CI/CD pipeline design and maintenance (GitHub Actions).
Experience defining and tracking SLOs/SLIs, leading incident response, and writing postmortems.
Comfortable structuring production-grade environments — multi-environment setups, security and access standards — and turning that knowledge into guidelines other teams can adopt.
Hands-on experience building and maintaining micro service architectures using AWS services such as SQS, Lambda, Fargate/ECS (or close equivalents in another cloud).
Hands-on experience designing and maintaining APIs, including REST (OpenAPI) and GraphQL, with a focus on consistency, versioning, and developer experience.
Setting up and using monitoring/alerting tools (Datadog, Grafana, Aikido).
Log aggregation and distributed tracing (OpenTelemetry, CloudWatch).
Strong proficiency in Python (or similar), including writing robust, testable, and maintainable code; familiarity with async programming patterns.
Integrates AI tooling effectively into daily workflows.
You enjoy collaborating both with your nearest team and with other teams. You are comfortable sharing knowledge and best practices.
Based in Stockholm, within commuting distance from our office in central Stockholm.
Tech Stack
AWS
Cloud
Docker
Grafana
GraphQL
Python
Terraform
Benefits
Hybrid flexibility while requiring the ability to commute daily to our Stockholm office.