Responsibilities

• Design, automate, deploy, and maintain multi-region infrastructure and data pipelines to scale the data platform's capabilities using cloud-native technologies.
• Define and enforce SLAs; ensure high availability and observability.
• Tune platform performance under high-throughput workloads and lead cost reporting and forecasting.
• Mentor engineers and contribute to architectural direction and code quality.
• Collaborate cross-functionally with infrastructure, tools, and operations teams to ensure the platform remains efficient and cost-effective.
• Perform continuous research on data technologies to stay up to date with the best alternatives for the existing architectures.

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Qualifications

• Proven working experience in the field of software, DevOps & distributed systems in production with a very strong background in AWS and knowledge of other cloud providers (e.g. GCP, Azure).
• Knowledge of programming languages such as Scala, TypeScript or Python.
• Experience implementing infrastructure-as-code (e.g., CloudFormation, Terraform).
• Container orchestration deployment, configuration, and administration. (e.g. Docker Swarm, Kubernetes).
• Confirmed experience designing CI/CD pipelines, monitoring tools, actionable alerts, and ownership of production support practices.
• Observability, alerting, metrics collection and visualisation (e.g. Prometheus, Grafana, Elasticsearch, Dynatrace).
• Ability to prioritise and manage your own workload.
• Ability to present, communicate and document the architecture in a visual form.

Nice to Have

• Attention to detail and the ability to coordinate cross-organisation problem-solving.
• Analytics infrastructure and tooling (e.g. Databricks, Apache Spark).
• Automation and configuration management (e.g., Ansible, Puppet, Chef).
• Customer-facing experience: you will need to communicate with platform users, resolve issues and express complex ideas clearly.
• Understanding of key security technologies and protocols such as TLS, OAuth and SPIFFE.
• Experience leading migrations to modernise production software stack and infrastructure.