SRE Engineer

SRE Engineer JD Required Skills Hands-on experience with JMeter, Gatling, Locust, or k6 Strong hands-on skills with Docker and Kubernetes (Helm, kubectl, namespaces, autoscaling) Monitoring stack experience , Prometheus, Grafana, ELK/Splunk Proficiency in scripting/coding with Java, Python, or JavaScript for test automation Strong knowledge of APM tools , Dynatrace, Datadog, New Relic, or AppDynamics Strong understanding of microservices, and service mesh concepts Experience profiling JVM, memory leaks, CPU bottlenecks, slow DB queries, and API latency Familiarity with distributed tracing (Jaeger, Zipkin) and correlation of performance signals Ability to analyze and interpret P50/P90/P95/P99 latency, throughput, error rate, and saturation metrics Solid experience building and optimizing CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or Concord) Cloud platform experience , Azure or GCP (minimum 1-2 years on any one platform) Infrastructure as Code using Ansible GitOps workflows and deployment automation best practices General/Good to have Skills Solid grasp of networking fundamentals , DNS, TCP/IP, HTTP/2, TLS, CDN Experience with SQL + NoSQL databases and query performance tuning Excellent communication skills , ability to present performance findings and RCA reports Experience with chaos engineering Familiarity with service mesh , Istio or Linkerd Exposure to GraphQL or gRPC performance testing Experience with shift-left security practices in pipelines (SAST/DAST integration) SRE Engineer JD Required Skills Hands-on experience with JMeter, Gatling, Locust, or k6 Strong hands-on skills with Docker and Kubernetes (Helm, kubectl, namespaces, autoscaling) Monitoring stack experience , Prometheus, Grafana, ELK/Splunk Proficiency in scripting/coding with Java, Python, or JavaScript for test automation Strong knowledge of APM tools , Dynatrace, Datadog, New Relic, or AppDynamics Strong understanding of microservices, and service mesh concepts Experience profiling JVM, memory leaks, CPU bottlenecks, slow DB queries, and API latency Familiarity with distributed tracing (Jaeger, Zipkin) and correlation of performance signals Ability to analyze and interpret P50/P90/P95/P99 latency, throughput, error rate, and saturation metrics Solid experience building and optimizing CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or Concord) Cloud platform experience , Azure or GCP (minimum 1-2 years on any one platform) Infrastructure as Code using Ansible GitOps workflows and deployment automation best practices General/Good to have Skills Solid grasp of networking fundamentals , DNS, TCP/IP, HTTP/2, TLS, CDN Experience with SQL + NoSQL databases and query performance tuning Excellent communication skills , ability to present performance findings and RCA reports Experience with chaos engineering Familiarity with service mesh , Istio or Linkerd Exposure to GraphQL or gRPC performance testing Experience with shift-left security practices in pipelines (SAST/DAST integration)