🚀 Open to Opportunities

Periyasamy K

>_ DevOps Engineer

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.

2+ Years Exp
|
15+ Tools Mastered
|
<1min Incident Response
|
3x Star Performer

Who Am I?

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.

📍 Bengaluru, India
🎓 M.Sc — Don Bosco College, Dharmapuri
🏆 Star Performer – 3 Consecutive Quarters
📬 ksamy2998@gmail.com
periyasamy@devops:~$

$ 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"

Tech Stack

CI/CD & Version Control

  • 🔧 Jenkins
  • 🔁 BuildKite
  • 🌿 Git
  • 🐙 GitHub

Cloud & Infrastructure

  • AWS EC2
  • 🗄 AWS S3
  • 📦 AWS EKS / ECS
  • 🔐 VPC / IAM
  • Auto Scaling / ELB
  • 🌐 Route 53 / EBS
  • 📊 CloudWatch
  • AWS EMR & Batch
  • 🏗 Terraform

Containers & Orchestration

  • 🐳 Docker
  • Kubernetes

Monitoring & Incidents

  • 🐶 Datadog
  • 🚨 PagerDuty
  • 📈 CloudWatch

Configuration Management

  • Ansible

Workflow & Data

  • 🌬 Apache Airflow
  • 💥 Apache Spark

Scripting & Automation

  • 🐍 Python
  • 💻 Bash

Data & Storage

  • 🗃 PL/SQL

Operating Systems

  • 🐧 Linux
  • 🪟 Windows

Work History

System Engineer

iOPEX Technologies
Nov 2023 – Oct 2025
📍 Chennai
⭐ Star Performer (3 Quarters)
  • Monitored and supported large-scale CI/CD pipelines (Jenkins, BuildKite, Airflow), resolving failures to ensure continuous delivery.
  • Integrated PagerDuty + Datadog with BuildKite for automatic failure detection and auto-recovery, reducing downtime.
  • Automated CI/CD pipelines using Jenkins and implemented daily S3 data-availability validation to ensure data integrity.
  • Troubleshot EC2, AWS EMR, and Batch job failures caused by spot-instance interruptions, fleet failures, and OOM errors.
  • Executed Terraform plans to provision and tear down cloud infrastructure using predefined IaC configurations.
  • Maintained incident response times under one minute across all production environments.
  • Delivered high-throughput data pipelines with Python and dimensional modeling, earning Star Performer recognition for three consecutive quarters.
  • Collaborated with DevOps, SRE, and Data Engineering teams on AWS cost optimisation and pipeline integration.

L1 Support Consultant

Persistent Systems Limited
Mar 2023 – Sep 2023
📍 Bengaluru
  • Provisioned and decommissioned Amazon WorkSpaces, ensuring timely delivery of virtual desktops.
  • Resolved authentication and audio issues for end-users, improving experience and minimising downtime.
  • Created and managed AWS WorkSpace directories, images, and bundles with updated software stacks.
  • Managed ITSM tickets within SLA: critical issues resolved within 2 days, non-critical within 5 days.

DevOps Projects

🔁

CI/CD Pipeline Automation

End-to-end CI/CD pipeline using Jenkins + BuildKite with automated Slack notifications, S3 data validation, and PagerDuty alerting for zero-touch deployments.

Jenkins BuildKite Python Slack PagerDuty
🐳

Dockerized Microservices

Containerised multi-service application using Docker Compose. Includes health checks, volume mounts, and custom bridge networking for isolated environments.

Docker Docker Compose Linux Bash

Kubernetes Deployment on EKS

Production-grade K8s deployment on AWS EKS with Horizontal Pod Autoscaler, ConfigMaps, Secrets management, and rolling-update strategies.

Kubernetes AWS EKS Helm YAML
🏗

Infrastructure as Code with Terraform

Modular Terraform configuration to provision AWS VPC, EC2 Auto Scaling Groups, RDS, and IAM roles — enabling repeatable, version-controlled infra.

Terraform AWS IaC Git
📊

Datadog Observability Stack

Full observability setup with Datadog dashboards, APM traces, log pipelines, and PagerDuty on-call escalations tied to SLO breach monitors.

Datadog PagerDuty CloudWatch Python
🌬

Airflow ETL Data Pipeline

Apache Airflow DAGs orchestrating large-scale ETL from S3 → Spark → data warehouse. Includes retry logic, SLA alerts, and Slack failure notifications.

Airflow Spark AWS S3 Python

Let's Connect

I'm actively looking for DevOps / SRE / Cloud Engineer roles. Feel free to reach out — let's build something reliable together.