SRE Engineer

SRS Infoway; Pune District, Chennai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

SRS Infoway is hiring a senior SRE/Performance Engineer to own reliability for large-scale distributed microservices. You will design and run proactive monitoring, perform load testing, and optimize observability across metrics, logs, and traces.

The role requires strong Kubernetes and AWS experience, CI/CD discipline, and deep Linux scripting skills. Expect hands-on debugging of production issues and JVM tuning work in a fast-paced environment.

Qualifications

• 8+ years in SRE, Performance Engineering, DevOps, or related production-engineering role.
• Experience operating large-scale, distributed microservice systems in production.
• Proactive production monitoring using metrics, logs, and traces to identify and resolve issues before escalation.
• Hands-on performance/load testing with tools such as JMeter, Gatling, k6, or Locust — including endurance tests.
• Deep observability: metrics, logging, and distributed tracing (Datadog, Prometheus/Grafana, Splunk, ELK).
• Kubernetes and AWS experience (EKS, autoscaling, networking, IAM, S3).
• CI/CD proficiency (GitLab CI, Jenkins) and infrastructure-as-code / GitOps (Helm, ArgoCD, Terraform).
• Linux fundamentals, scripting (Bash/Python), debugging production issues from logs, traces, and metrics.
• JVM performance literacy — GC tuning, heap/memory analysis, thread/connection pools

Skills

SRE

Performance engineering

DevOps

Distributed systems

Observability

JVM tuning

Linux scripting

Thread/connection pools

Tools

Kubernetes

AWS (EKS, IAM, S3)

CI/CD (GitLab CI, Jenkins)

Terraform

Helm

ArgoCD

Job description

Required Qualifications (8+ years)

• 8+ years in SRE, Performance Engineering, DevOps, or a closely related production-engineering role.
• Strong experience operating large-scale, distributed, microservice systems in production.
• Proven track record of proactive production monitoring using metrics, logs, and traces to identify and resolve issues before they escalated.
• Hands-on performance/load testing with tools such as JMeter, Gatling, k6, or Locust — including designing endurance tests and interpreting results.
• Deep observability skills: metrics, logging, and distributed tracing (e.g., Datadog, Prometheus/Grafana, Splunk, ELK).
• Solid Kubernetes and AWS experience (EKS, autoscaling, networking, IAM, S3).
• CI/CD proficiency (GitLab CI, Jenkins, or similar) and infrastructure-as-code / GitOps (Helm, ArgoCD, Terraform).
• Strong Linux fundamentals, scripting (Bash/Python), and comfort debugging production issues from logs, traces, and metrics.

JVM performance literacy — GC tuning, heap/memory analysis, thread/connection pools