DevOps Engineer

• Monitor and improve the reliability, availability, and performance of production and non-production environments.

• Troubleshoot Linux, application, network, database, Kubernetes, and AWS infrastructure issues.

• Participate in incident response, root cause analysis, production recovery, and post-incident improvements.

• Build automation and operational tooling using Python, JavaScript/Node.js, and Shell scripting.

• Create and maintain Grafana dashboards, alerts, metrics, logs, and distributed tracing for application and infrastructure visibility.

• Support workloads running on AWS and Kubernetes, including deployments, scaling, configuration changes, and production readiness.

• Improve system resilience through alert tuning, capacity planning, automation, runbooks, and elimination of repetitive operational toil.

• Work closely with engineering, QA, security, and platform teams to resolve issues and improve service reliability.

Experience

Core technical skills

• Linux - strong administration and troubleshooting across processes, CPU, memory, disk, filesystems, networking, DNS, logs, SSH, permissions, package management, and shell scripting.
• AWS - strong production experience with services such as EKS,Lambda, Cloudfront, ALB,RDS and other related services.
• Grafana & Observability - strong hands-on experience with dashboards, alerting, PromQL, Loki/log querying, metrics, tracing concepts, Kubernetes observability, and AWS monitoring.

• Programming & Automation - Python, JavaScript/Node.js, Bash/Shell, REST APIs, JSON, and scripting for automation and operational tooling.
• Kubernetes & Containers - Docker, EKS/Kubernetes, Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, resource requests/limits, autoscaling, logs, events, and troubleshooting.
• Networking - TCP/IP, HTTP/HTTPS, DNS, SSL/TLS, load balancing, routing, NAT, firewalls, reverse proxies, CDN concepts, and API connectivity troubleshooting.
  • DevOps & IaC - Git, CI/CD, Terraform, Helm, Infrastructure as Code, and automated deployment practices.