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Senior Quality Engineer - Platform Resilience & Scalability
Job summary
A healthcare technology company is seeking a Senior Quality Engineer for Platform Resilience & Scalability. The role focuses on ensuring the Internal Developer Platform's reliability and performance across global regions through rigorous testing and analysis. Key responsibilities include designing chaos experiments, analyzing performance bottlenecks, and testing auto-recovery mechanisms. Strong experience in Kubernetes and chaos engineering is required. This position is remote, based in the UK.
Qualifications
- Strong experience in Kubernetes production environments (EKS preferred).
- Proven success in chaos engineering and resilience testing using major frameworks.
- In-depth knowledge of distributed systems failure modes and performance tuning.
- Sincere interest in building resilient, scalable platforms.
Responsibilities
- Design chaos experiments to validate failure scenarios across clusters.
- Test auto-recovery mechanisms to ensure platform resilience.
- Analyse performance bottlenecks to optimise system behaviour.
- Validate scalability through rapid scale-up scenarios.
Skills
Senior Quality Engineer – Platform Resilience & Scalability | Platform Engineering | UK - Remote
RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organisations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.
Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.
We’re searching for a UK-based Quality Engineer – Platform Resilience & Scalability to join our Platform Engineering team, so that we can ensure our Internal Developer Platform remains resilient, scalable, and highly available across multiple global regions. The Quality Engineer will design and execute resilience and performance testing strategies to guarantee our platform meets a 99.95% uptime SLA and scales dynamically under demanding conditions.
Design chaos experiments using tools like Chaos Mesh, Litmus, or AWS Fault Injection Simulator to validate failure scenarios across EKS clusters and regions.
- Test auto-recovery mechanisms such as Karpenter autoscaling, pod restarts, and ALB failover in order to ensure platform resilience.
- Analyse performance bottlenecks in Kubernetes clusters, Istio service mesh latency, and GitOps pipeline throughput to optimise system behaviour.
- Validate scalability by testing rapid scale-up scenarios and multi-region failover capabilities to support 3,000+ pods per cluster.
- Define and monitor SLOs/SLIs for platform services using HoneyComb, CloudWatch, and Prometheus to maintain observability and reliability.
- Strong experience in Kubernetes production environments (EKS preferred).
- Proven success in chaos engineering and resilience testing using major frameworks.
- In-depth knowledge of distributed systems failure modes and performance tuning.
- Sincere interest in building resilient, scalable platforms that power global healthcare solutions.
- A knack for working collaboratively within a fast-paced, cloud-native environment.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.