DevOps Engineer with 2+ years of experience supporting cloud-native production systems on AWS. Hands-on expertise in CI/CD automation using Jenkins and BuildKite, and proven ability to monitor, troubleshoot, and resolve production issues using Datadog, CloudWatch, and PagerDuty. Strong exposure to containerization with Docker and orchestration with Kubernetes. Worked closely with engineering and SRE teams to improve deployment reliability, operational efficiency, and cloud cost optimization.
I'm Periyasamy K, a DevOps Engineer based in Bengaluru, India. My journey started in IT support at Persistent Systems, where I built a solid foundation in AWS cloud services and user infrastructure management.
At iOPEX Technologies, I evolved into a full DevOps role — managing production CI/CD pipelines at scale, driving cloud cost optimisation, and ensuring 24/7 operational excellence with sub-minute incident response times.
I'm passionate about automation, observability, and building reliable, self-healing infrastructure. I thrive at the intersection of development and operations.
$ cat profile.json
"role": "DevOps Engineer",
"experience": "2+ years",
"cloud": "AWS",
"containers": ["Docker","K8s"],
"cicd": ["Jenkins","BuildKite"],
"iac": "Terraform",
"monitoring": ["Datadog","PagerDuty"],
"incident_sla": "< 1 minute",
"award": "⭐ Star Performer x3"
█
End-to-end CI/CD pipeline using Jenkins + BuildKite with automated Slack notifications, S3 data validation, and PagerDuty alerting for zero-touch deployments.
Containerised multi-service application using Docker Compose. Includes health checks, volume mounts, and custom bridge networking for isolated environments.
Production-grade K8s deployment on AWS EKS with Horizontal Pod Autoscaler, ConfigMaps, Secrets management, and rolling-update strategies.
Modular Terraform configuration to provision AWS VPC, EC2 Auto Scaling Groups, RDS, and IAM roles — enabling repeatable, version-controlled infra.
Full observability setup with Datadog dashboards, APM traces, log pipelines, and PagerDuty on-call escalations tied to SLO breach monitors.
Apache Airflow DAGs orchestrating large-scale ETL from S3 → Spark → data warehouse. Includes retry logic, SLA alerts, and Slack failure notifications.
I'm actively looking for DevOps / SRE / Cloud Engineer roles. Feel free to reach out — let's build something reliable together.