Amrik Singh

Enhancing platform stability and observability with Starling's SRE team.

• Introduced Chaos Engineering methodologies in our Kubernetes environments, pinpointing multiple failure scenarios and driving down mean time to detection. This resulted in a decrease in production outages.
• Developed an in-house service catalogue, serving as the definitive source of truth for alert routing, guaranteeing precise on-call assignments and streamlined incident response.
• Led the adoption of OpenTelemetry across the company, standardising monitoring and tracing capabilities.
• Actively participated in incident resolution and post-incident reviews, identifying root causes, implementing corrective actions, and documenting lessons learned.

Worked closely with Traders and Quants to deliver highly performant, reliable and scalable solutions.

• Led the initiative to migrate to the cloud, containerizing legacy code for a seamless transition from on-premise to AWS EKS
• Improved performance of trader tools by migrating workloads from personal devices to the cloud, using gRPC.
• Championed unit tests and Test Driven Development for critical functionality, reducing incidents caused by regressions.
• Implemented CI/CD pipelines to automate software delivery and ensure rapid and reliable deployment of updates and features.

Worked across various teams as part of a Graduate Scheme, mainly as an SRE for an internal SaaS team.

• Managed petabyte-scale Elasticsearch clusters on-premises and in AWS within a lean team of under 10, ingesting billions of documents per day.
• Expanded observability practices to over 2000 bank services in under a year by architecting and developing custom tooling using Node.js/React.
• Implemented cost-saving data lifecycle policies for Elasticsearch clusters, resulting in multimillion-pound savings.
• Revamped team's web portal using TypeScript & React, facilitating company-wide brand consistency through standardized component library adoption.