Senior Platform Engineer
AI Summary
Design and evolve reliable cloud platform capabilities on AWS and Kubernetes, improving CI/CD, monitoring, and operational patterns while building reusable tooling and guardrails for engineering teams.
About this role
We are at the beginning of a meaningful transformation: moving from infrastructure that is primarily operated for teams towards a platform that engineers can increasingly use through clear, self-service capabilities.
This role will help shape the standards, guardrails and developer experience that make that possible.
A Day In The Life:
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Design and evolve reliable cloud platform capabilities for engineering teams.
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Improve AWS, Kubernetes, Terraform, CI/CD, monitoring and operational patterns.
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Partner with engineers to understand needs and make safe, maintainable choices.
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Take ownership of work from problem definition through delivery and learning.
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Strengthen observability, resilience, security and incident readiness.
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Help build reusable tooling, guardrails and self-service foundations.
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Contribute to platform standards across Cloud Infrastructure, DBA and DevX.
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Support business-critical services through the shared on-call rota.
About You:
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Strong hands-on AWS platform engineering experience in production environments.
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Practical Kubernetes/EKS, Docker, Terraform and Helm experience.
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Strong CI/CD experience, particularly GitHub Actions, and reusable-pipeline thinking.
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Experience with logging and monitoring, networking and protocols, scripting, secrets management and service discovery.
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Exposure to both AWS and Kubernetes, with sound coding experience.
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Evidence of designing secure, reliable and maintainable platform solutions.
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Autonomous delivery and constructive collaboration with application engineers.
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Experience supporting business-critical services through an on-call rota.
Added Bonus:
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Experience with Honeycomb, OpenTelemetry, Prometheus, Splunk, including SLO-led practices.
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Pragmatic use of AI-assisted engineering tools to improve quality and productivity.
Skills
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