Senior Site Reliability Engineer

Overview

In this role you maintain and scale a large Kubernetes-based estate across client environments to ensure data arrives reliably, alerts fire when needed, and deployments happen predictably. You will work hands-on with Terraform, Kubernetes manifests, and code to keep the platform healthy and cost-efficient. You’ll extend monitoring, push ownership of alerts to service teams, and improve incident learnings to prevent recurrence. You’ll collaborate with engineers to make the platform safer and faster for everyone. This is a practical, impact-focused role in a fast-paced fintech environment.

Pay / Benefits

• private health insurance
• life insurance
• flexible stipend
• matched pension contribution up to 10%
• 1000 learning budget per year
• unlimited professional development leave

Responsibilities

• Run and manage the Kubernetes estate (EKS) across multi-tenant client environments with proper isolation and scalable sizing
• Maintain and enhance monitoring and alerting, extending ownership to service teams
• Automate deployments and pipelines to enable frequent, small releases with minimal risk
• Design for failure: implement retry, resource limits, queue handling, and recovery strategies
• Optimize hosting costs via right-sizing and understanding per-client environment economics
• Participate in incident response and post-incident learning to reduce recurrence
• Contribute to ensuring data integrity and timely processing of client data

Key requirements

• Extensive production infrastructure experience on AWS (EKS, IAM, networking across multiple accounts/regions)
• Strong Kubernetes expertise beyond basics, including multi-tenancy, Helm, scaling, and behavior under pressure
• Proficient in Terraform with treat-infra-as-code discipline
• Proficient in at least one programming language (Python or Go) for automation and small services
• Experience with CI/CD and GitOps for deployment management
• Experience operating data-heavy systems (message queues, pipelines, search clusters)
• Ability to collaborate with product engineers and accelerate team safety and speed

• Collaborative and proactive
• Time-pressure decision making with automation focus
• Clear communication with cross-functional teams
• AWS (EKS, IAM, networking)
• Kubernetes (multi-tenancy, scaling, Helm)
• Terraform

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