Platform Reliability Engineer

Job Description

Technical Platform Reliability Engineer

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Responsibilities

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• Set the technical direction for the reliability and evolution of our shared platform, balancing resilience, security, delivery speed, operational complexity, and cost.

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• Lead high-impact initiatives spanning cloud infrastructure, compute platforms, networking, observability, deployment systems, and production operations.

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• Design and evolve highly available AWS architectures across multiple accounts, environments, and regions.

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• Improve the reliability and operability of workloads running across ECS, EKS/Kubernetes, serverless platforms, managed data services, and traditional compute.

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• Establish practical SRE standards, including service-level indicators and objectives, error budgets, capacity planning, resilience testing, and production-readiness reviews.

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• Identify recurring operational risks and eliminate them through automation, architectural improvements, safer defaults, and clear ownership.

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• Advance our infrastructure-as-code and delivery capabilities using Terraform, Terraform Enterprise, AWS CDK, GitHub Actions, CodeBuild, and related tooling.

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• Evolve internal platform capabilities and developer workflows, including reusable infrastructure modules, deployment pipelines, service templates, and Backstage-based self-service.

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• Improve observability across the platform using Datadog, CloudWatch, distributed tracing, structured logging, actionable alerting, and service ownership metadata.

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• Lead the technical response to significant production incidents, coordinate diagnosis and recovery, and ensure post-incident learning results in durable improvements.

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• Strengthen disaster-recovery and business-continuity capabilities through tested recovery procedures, failure exercises, and the removal of hidden dependencies and single points of failure.

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• Partner with Security to embed least-privilege access, secrets management, encryption, auditability, network controls, and policy enforcement into platform foundations.

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• Work with engineering teams operating critical databases, streaming platforms, workflow systems, and external connectivity to improve end-to-end reliability.

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• Develop technical strategies and roadmaps for major areas of the platform, communicate trade-offs, and build alignment across engineering and business stakeholders.

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• Mentor engineers, improve the quality of technical design and operational practices, and act as a trusted reviewer for consequential architectural decisions.

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• Participate in and continuously improve a sustainable production support and on-call model.

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Qualifications

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• A strong track record of designing and operating large-scale, mission-critical production systems.

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• Deep expertise in AWS architecture and operations, including networking, identity and access management, compute, storage, managed services, and multi-account environments.

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• Advanced experience with infrastructure as code, particularly Terraform, including the design of reusable modules and controlled delivery workflows.

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• Strong knowledge of distributed systems and reliability concepts, including failure modes, availability, consistency, capacity, recovery, and graceful degradation.

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• Hands-on experience operating containerised workloads using Kubernetes/EKS, ECS, or comparable orchestration platforms.

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• Demonstrated experience establishing effective observability, alerting, SLOs, incident-management practices, and post-incident improvement programmes.

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• Strong software-engineering ability in Python, Go, TypeScript, or a comparable language, with an emphasis on maintainable operational tooling and automation.

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• Experience leading ambiguous, cross-organisational technical initiatives without relying on formal authority.

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• Sound judgement under pressure and the ability to make clear, risk-based decisions during production incidents.

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• Excellent written and verbal communication, including the ability to explain complex technical decisions to engineering and non-engineering stakeholders.

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• A pragmatic approach to engineering, with the ability to determine where standardisation is valuable, where flexibility is appropriate, and where complexity is unjustified.

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Nice to Have

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• Experience supporting trading, financial-services, or other highly regulated and time-sensitive production environments.

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• Experience with Datadog, Terraform Enterprise, Backstage, Argo CD, GitHub Actions, or AWS CodeBuild and CodePipeline.

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• Knowledge of high-throughput messaging and data platforms such as Kafka or Confluent.

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• Operational experience with PostgreSQL/Aurora, CockroachDB, Redis/Valkey, QuestDB, Snowflake, or comparable data systems.

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• Strong networking knowledge, including Transit Gateway, PrivateLink, DNS, hybrid connectivity, firewalls, and private-access platforms such as Zscaler.

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• Experience designing multi-region systems and leading disaster-recovery or resilience-testing programmes.

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• Familiarity with cloud cost management and designing systems that are both reliable and economically sustainable.

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• Experience contributing to internal developer platforms, service catalogues, golden paths, or organisation-wide engineering standards.

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