Database Engineer
London OfficeFull-TimeMid-levelSoftware Engineering
What You'll Do:
- Build Self-Service Tooling: Design and develop the internal platform capabilities (using Terraform and automation scripts) that allow engineers to provision and manage their own data resources. You will turn complex infrastructure requirements into simple, declarative interfaces for developers.
- Embed Knowledge into Code: "Shift left" your database expertise. You will write automation that applies best practices for indexing, schema design, and security configurations, effectively embedding your brain into the platform.
- Democratize Observability: Create "out-of-the-box" observability. You will build systems in which databases are preconfigured with the right dashboards, SLIs/SLOs, and alerts in Datadog, making performance visibility automatic rather than manual.
- Automate Guardrails: Implement automated checks and policy-as-code (e.g., OPA, Terraform Sentinel) to prevent dangerous operations, while still allowing developers to move fast without breaking production.
- Evolve the Stack: Architect and maintain our core data infrastructure codebases for AWS RDS (Postgres+MySQL), OpenSearch, ElastiCache and DynamoDB.
- Educate & Enable: Act as a consultant and partner to engineering teams. While your tools will handle the heavy lifting, you will foster a culture of database literacy, helping teams understand how to leverage the platform you build.
Technical Stack:
- Cloud & IaC: AWS, Terraform (Advanced usage)
- Scripting/Coding: Python, Go, Bash
- Data Stores: RDS Postgres, RDS MySQL, DynamoDB, OpenSearch, ElastiCache
- Observability: Datadog
- Orchestration: GitLab CI, Kubernetes
A little about you:
- You have at least 3+ years of experience in Database Engineering and Infrastructure, specializing in the design, automation, and optimization of distributed data stores.
- Enabler: You derive satisfaction from making others more productive.
- Automation First: Your instinctive reaction to a manual task is to write a script or build a tool to eliminate it forever.
- AI First Mindset: You approach problems with a focus on leveraging Artificial Intelligence to drive efficiency and innovation.
- Communication: You can explain complex database constraints to developers in a way that is helpful, not blocking, and can effectively communicate with stakeholders regarding incidents, changes, and project updates.
