Site Reliability / Platform Engineer – Chaos Engineering, K6 Performance Testing & AWS Compute Optimization

Location:
India (Remote) Experience Level: 6-8 Yrs

About the Role
We are seeking a hands-on engineer with deep expertise in chaos engineering, performance/load testing with K6, and AWS compute optimization across EKS (Kubernetes) and ECS. This role is central to improving the resilience, scalability, and cost-efficiency of our production infrastructure by proactively identifying failure modes, validating system behavior under load, and tuning compute resources for performance and cost.

Key Responsibilities
• Design, implement, and run chaos engineering experiments (e.g., pod/node failure, network latency injection, resource starvation, AZ/region failure simulation) using tools such as Chaos Mesh, LitmusChaos, Gremlin, or AWS Fault Injection Simulator (FIS).
• Build and maintain K6 performance/load testing scripts to validate throughput, latency, and stability of services under varying load conditions; integrate K6 into CI/CD pipelines for continuous performance validation.
• Analyze test and chaos experiment results to identify bottlenecks, single points of failure, and degradation patterns; produce actionable remediation recommendations.
• Optimize AWS EKS cluster configurations — node groups, Karpenter/Cluster Autoscaler, pod resource requests/limits, HPA/VPA tuning, and workload right-sizing.
• Optimize AWS ECS (Fargate and EC2 launch types) task definitions, service scaling policies, and cluster capacity providers for cost and performance efficiency.
• Drive compute cost optimization initiatives — Spot/Reserved/Savings Plans strategy, right-sizing, bin-packing, and resource utilization analysis across EKS/ECS workloads.
• Collaborate with SRE, DevOps, and application teams to define resilience SLOs/SLIs and embed chaos/performance testing into the software delivery lifecycle.
• Build observability and reporting around chaos experiments and load tests (dashboards,



alerts, post-experiment reports) using tools such as CloudWatch, Prometheus/Grafana, or Datadog.
• Document runbooks, failure scenarios, and lessons learned; contribute to a culture of resilience engineering and continuous improvement. Required Skills & Experience
• Proven hands-on experience with chaos engineering practices and tooling (Chaos Mesh, Gremlin, LitmusChaos, AWS FIS, or equivalent).
• Robust practical experience writing and executing K6 test scripts (load, stress, spike, soak testing), including scripting in JavaScript and integrating K6 with CI/CD.
• Deep working knowledge of AWS EKS — cluster architecture, node/pod scaling, autoscaling strategies, networking (VPC CNI, security groups), and workload optimization.
• Deep working knowledge of AWS ECS — Fargate/EC2 launch types, task/service definitions, capacity providers, and auto-scaling configuration.
• Experience with AWS compute cost optimization techniques (Spot instances, Savings Plans, right-sizing, Compute Optimizer).
• Solid understanding of Kubernetes fundamentals (Deployments, Services, HPA/VPA, resource quotas, node affinity/taints).
• Experience with Infrastructure-as-Code (Terraform, CloudFormation, or CDK) for provisioning and managing EKS/ECS environments.
• Familiarity with observability stacks (Prometheus, Grafana, CloudWatch, Datadog, or similar) for monitoring resilience and performance metrics.
• Strong scripting/automation skills (Python, Bash, or Go).
• Excellent troubleshooting skills with the ability to root-cause distributed system failures under load. Preferred / Nice-to-Have
• AWS Certifications (Solutions Architect, DevOps Engineer, or SysOps Administrator).
• Certified Kubernetes Administrator (CKA) or equivalent.
• Experience with GitOps tools (ArgoCD, Flux) and CI/CD platforms (Jenkins, GitLab CI, GitHub Actions).
• Exposure to service mesh technologies (Istio, App Mesh) for fault injection testing.
• Prior experience running Game Days or resilience/DR exercises in production environments.

📌 Site Reliability (India)
🏢 Qualtrix Consulting
📍 India