Tech Stack
AWSCloudIoTKafkaKubernetesPythonTerraform
About the role
- Architect and implement resilient, always-on infrastructure to ingest data, starting with our privacy-first mobile telemetry product.
- Integrate data from a variety of SDKs and build a rock-solid foundation for large-scale data handling.
- Partner with AI and Data teams to ensure the platform supports advanced ML systems.
- Champion an SRE culture by building proactive monitoring and systems that detect issues before they impact customers.
- Define a clear path for onboarding existing systems and customers onto the new platform.
- Contribute to the maturation of release and deployment practices across the company.
- Optimise costs and reuse infrastructure wherever possible to maximize efficiency.
- Provide operational support to ensure smooth day-to-day performance.
Requirements
- 5+ years of experience in software or infrastructure engineering roles.
- Strong experience with at least one major public cloud (we primarily use AWS).
- Awareness of how infrastructure and platform decisions impact downstream systems.
- Hands-on experience with Kubernetes, containers, and Terraform.
- Practical experience deploying and operating Kafka-based infrastructure.
- Solid scripting/software skills in Python.
- Desired: Experience with telemetry or IoT workloads.
- Desired: Familiarity with Databricks.
- Desired: Background in infrastructure teams supporting high-scale data or ML applications.