Cloud
AWS, EKS, EC2, ECR, S3, IAM, VPC, ALB, Route 53, CloudWatch, and KMS.
DevOps & Platform Engineer
Building Secure, Scalable Cloud Platforms with AWS, Kubernetes & GitOps
I am Ajay Kumar, a DevOps and Platform Engineer with 4+ years of experience building secure, scalable and reliable cloud-native platforms on AWS. I specialize in Amazon EKS, Kubernetes, Terraform, CI/CD, GitOps, DevSecOps, observability and production reliability.
Professional Summary
I'm a DevOps and Platform Engineer with 4+ years of experience building secure, scalable, and cloud-native infrastructure on AWS. My expertise includes Kubernetes, Amazon EKS, Terraform, CI/CD, GitOps, DevSecOps, and Site Reliability Engineering (SRE). I enjoy automating infrastructure, simplifying software delivery, and improving the reliability, security, and performance of production systems.
Throughout my career, I've designed reusable Infrastructure as Code solutions, implemented GitOps workflows with Argo CD, built secure CI/CD pipelines, and optimized Kubernetes platforms for performance and cost efficiency. I have hands-on experience with observability, distributed tracing, infrastructure security, cloud cost optimization, and production support across large-scale microservices environments.
I enjoy solving complex infrastructure challenges, improving developer experience through platform engineering, and continuously learning modern cloud-native technologies.
What I Work With
Kubernetes & Containers
Docker, Kubernetes, Helm, Karpenter, HPA, and production workload operations.
CI/CD & GitOps
Jenkins, GitHub Actions, ArgoCD, Maven, Nexus, SonarQube, Git, and GitHub.
IaC & Automation
Terraform, Ansible, Python, Bash, and Groovy.
Observability & SRE
Prometheus, Grafana, Alertmanager, OpenTelemetry, Loki, Tempo, ELK Stack, CloudWatch, and Fluent Bit.
DevSecOps
SonarQube, Trivy, Snyk, Checkov, Gitleaks, OPA Gatekeeper, Kyverno, HashiCorp Vault, and AWS Secrets Manager.
Platform Engineering
Backstage, GitOps, Argo CD, Helm, developer self-service, and golden paths.
Messaging
Apache Kafka, Amazon MSK, and Kafka Connect.
How a DevOps Pipeline Works
When a developer pushes code to Git, a pipeline builds the app, creates a Docker image, deploys it to Kubernetes, and monitors it automatically.
Developer
Git
CI Pipeline
Docker Image
Kubernetes
Monitoring
DevOps Concepts in Simple Words
CI
Automatically testing code after every change.
CD
Automatically deploying tested code.
Container
A lightweight box that contains the app and dependencies.
IaC
Creating servers using code instead of clicking.
Rolling Update
Update the app without downtime.
Why DevOps?
DevOps helps teams release software faster, safer, and with fewer failures by automating repetitive tasks and improving collaboration.
Work Experience
DevOps Engineer | Accenture
Oct 2025 – Present | Pune, India
Working as part of the Cloud Platform Engineering team, responsible for building and managing secure Kubernetes platforms and modern CI/CD pipelines for enterprise applications running on AWS.
Key Responsibilities
- Designed and managed GitOps deployments using Argo CD and Helm across multiple repositories and environments.
- Built secure CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions with integrated security and quality gates.
- Automated AWS infrastructure provisioning using Terraform for Amazon EKS, networking, IAM, monitoring, and application infrastructure.
- Implemented Kubernetes security using RBAC, IRSA, OPA Gatekeeper, Kyverno, HashiCorp Vault, and AWS Secrets Manager.
- Built end-to-end observability using Prometheus, Grafana, Alertmanager, and OpenTelemetry for metrics, logs, and distributed tracing.
- Optimized Kubernetes infrastructure using Karpenter, HPA, and Kubecost, improving resource utilization while reducing cloud costs.
- Troubleshot Kubernetes, Kafka, networking, CI/CD, and production issues while participating in incident response and root-cause analysis.
DevOps Engineer | KPIT Technologies
Jan 2023 – Sep 2025 | Pune, India
Worked on AWS-based cloud infrastructure, Kubernetes administration, CI/CD automation, and production support for enterprise applications deployed on Amazon EKS.
Key Responsibilities
- Managed Amazon EKS clusters across Development, QA, and Production environments supporting multiple application teams.
- Developed and maintained Jenkins and GitLab CI/CD pipelines for automated application delivery.
- Provisioned AWS infrastructure using Terraform, CloudFormation, and Ansible with reusable Infrastructure as Code modules.
- Automated operational tasks using Python and Bash for deployment validation, health checks, and infrastructure management.
- Configured Kubernetes networking, ingress, monitoring, storage, and backup solutions.
- Supported production releases, deployment troubleshooting, and Kubernetes cluster operations.
- Worked with Apache Kafka, SQL, and Linux during production support and application troubleshooting.
DevOps Intern | KPIT Technologies
Jul 2022 – Dec 2022 | Pune, India
Started my DevOps journey by supporting CI/CD pipelines, AWS infrastructure, and Linux administration while learning cloud-native technologies and deployment automation.
Responsibilities
- Assisted in maintaining Jenkins pipelines and deployment automation.
- Supported AWS EC2, IAM, Docker, and Linux administration.
- Performed deployment validation, log analysis, and release support activities.
Projects
Production-style platforms covering cloud infrastructure, GitOps, CI/CD, security, observability, and containerized application delivery.
DevOps Engineer
Amazon EKS DevSecOps & GitOps Platform
Designed an Amazon EKS platform using Terraform, Kubernetes, Helm, and Argo CD, with multi-provider CI/CD, automated security gates, autoscaling, centralized secrets, and production monitoring.
- 3 AWS Availability Zones
- 2 GitOps environments
- 3 CI/CD implementations
- 0 long-lived AWS credentials
AWS EKSTerraformKubernetesHelmArgo CDKarpenterJenkinsGitHub ActionsGitLab CITrivyCheckovPrometheusGrafana
Key features and architecture
- Provisioned a three-Availability-Zone VPC and EKS cluster with private workers, managed node groups, IAM, IRSA, EKS Pod Identity, and KMS encryption.
- Configured Karpenter and HPA for node and workload scaling, plus Helm resources with health probes, limits, rolling updates, a Pod Disruption Budget, and NetworkPolicy.
- Implemented separate development and production GitOps configurations through Argo CD.
- Built Jenkins, GitHub Actions, and GitLab CI pipelines for tests, Terraform and Helm validation, security scanning, image builds, and ECR publishing.
- Integrated Trivy, Checkov, Snyk, SonarQube, OWASP Dependency-Check, OPA Gatekeeper, and Sentinel security controls.
- Used OIDC-based AWS authentication and centralized secrets through External Secrets, AWS Secrets Manager, and a Vault example.
- Added Prometheus, Grafana, and Alertmanager monitoring plus an operational verification, troubleshooting, and rollback runbook.
DevOps Engineer / CI/CD Architect
Enterprise CI/CD Platform on AWS EKS
A production-style delivery platform that automates testing, security scanning, Docker builds, ECR publishing, and Helm deployments to AWS EKS.
GitHub ActionsJenkinsGitLabDockerHelmAWS EKSSonarQubeTrivyGrafana
Key features and outcomes
- Runs unit and integration tests, SonarQube quality gates, Trivy scans, and OWASP Dependency-Check before publishing images.
- Supports rolling, blue/green, and canary deployments, production approvals, and automatic rollback through Helm atomic upgrades.
- Adds Slack and email notifications, Prometheus alert rules, Grafana dashboards, and reusable pipeline templates.
- Reduced manual release steps and improved deployment safety, security coverage, rollback readiness, and monitoring visibility.
Kubernetes Observability
Production Kubernetes Monitoring Platform
Built a Helm-deployable observability platform providing real-time cluster and application metrics, centralized logs, distributed traces, dashboards, and alerts.
KubernetesHelmPrometheusGrafanaLokiTempoFluent BitAlertmanager
Key features and responsibilities
- Designed the architecture and Helm umbrella chart with production values and persistent storage for the observability components.
- Built Grafana dashboards for cluster, node, workload, log, and trace visibility.
- Configured Prometheus rules and Slack/email Alertmanager routing for resource, workload, network, logging, and tracing failures.
- Documented installation, customization, validation, upgrades, rollback, and troubleshooting, and validated the chart with Helm lint and template rendering.
Senior Cloud Architect & DevOps Engineer
Production-Grade AWS EKS Infrastructure with Terraform
Designed a reusable AWS EKS baseline with modular Terraform, secure networking, remote state, private worker nodes, autoscaling, add-ons, observability, and separate environment configurations.
AWSEKSTerraformHelmIAM / IRSAVPCCloudWatchPrometheusGrafana
Key features and outcomes
- Created reusable modules, S3 remote state with DynamoDB locking, and a three-AZ VPC with public and private subnets.
- Configured private managed node groups, autoscaling, least-privilege IRSA, EBS CSI, AWS Load Balancer Controller, and ExternalDNS.
- Integrated Secrets Manager, CloudWatch, Fluent Bit, Prometheus, and Grafana.
- Delivered separate development, staging, and production configurations with security, cost, architecture, and deployment guidance.
Application Delivery · CI/CD
Dockerized Microservices Deployment
Built and deployed a microservices application with a FastAPI backend, nginx frontend, PostgreSQL, and Redis, supporting both Docker Compose and Kubernetes delivery workflows.
FastAPIPostgreSQLRedisDocker ComposeJenkinsSonarQubeKubernetesHelmAWS EKS
Key features and responsibilities
- Containerized the frontend and backend and configured local orchestration with PostgreSQL and Redis through Docker Compose.
- Created Kubernetes Deployments, Services, ConfigMaps, Secrets, Ingress resources, and a repeatable Helm chart.
- Built a Jenkins pipeline for validation, tests, SonarQube analysis, image publishing, Kubernetes deployment, and verification evidence.
- Documented practical deployment and troubleshooting workflows for Docker Hub, AWS ECR, Kubernetes, and AWS EKS.
Education
Dr. APJ Abdul Kalam Technical University (AKTU) | Jul 2022 | Lucknow
B.Tech in Computer Science and Engineering
Languages
English, Hindi