Kubernetes & Platform Engineer (EKS/AKS, Terraform, CI/CD)

RAM POLARAPU KUBERNETES & PLATFORM ENGINEER

USA +1-470-***-**** ***********@*****.*** LinkedIn PROFESSIONAL SUMMARY

Kubernetes & Platform Engineer with 4+ years of experience architecting and automating scalable platform infrastructure on AWS and Azure. Specializing in Kubernetes (EKS/AKS) orchestration, Infrastructure-as-Code with Terraform, and CI/CD pipeline design to enable self- service infrastructure for engineering teams. Proven track record delivering high-availability platforms that accelerate deployment cycles, improve developer experience, and reduce infrastructure complexity across enterprise and startup environments. TECHNICAL SKILLS

• Platform Engineering & Kubernetes: Kubernetes (EKS, AKS), Container Orchestration, Cluster Management, Helm, ArgoCD, GitOps, Service Mesh, Multi-cluster deployments, Internal Developer Platforms (IDP), Developer Enablement, Self-service Infrastructure, Kubernetes security, RBAC, Network Policies, Pod Security Standards

• Infrastructure-as-Code & Automation: Terraform (modules, remote state management, workspaces, drift detection), AWS CloudFormation, Azure ARM Templates, Infrastructure provisioning, Configuration management, Automated scaling, Modular architecture, Reusable components

• CI/CD & Release Engineering: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, Pipeline Design & Architecture, Release Engineering, Deployment Strategies (Blue-Green, Canary, Rolling), Git version control, Artifact management (Nexus, Artifactory), Automated workflows

• Cloud Platforms & Architecture: AWS (EC2, EKS, ECS, Lambda, S3, RDS, VPC, IAM, Route 53, CloudFront), Microsoft Azure (AKS, VNets, Azure AD, Key Vault, App Services), High Availability Architecture, Fault Tolerance, Disaster Recovery, Scalable Infrastructure

• Observability & Reliability: Prometheus, Grafana, AWS CloudWatch, Azure Monitor, ELK Stack (Elasticsearch, Logstash, Kibana), SLA/SLO definition, Incident response, Root cause analysis, OpenTelemetry, Distributed tracing, SRE Practices

• Programming & Scripting: Python (Automation & Boto3), Go (Golang), Bash/Shell Scripting, YAML, JSON, HCL (HashiCorp Configuration Language), PowerShell

PROFESSIONAL EXPERIENCE

Kubernetes & Platform Engineer EPAM Systems May 2025 – Present USA

• Architected enterprise Kubernetes platform on AWS EKS supporting 50+ development teams—designed multi-cluster architecture, implemented GitOps with ArgoCD for declarative deployments, and enabled self-service infrastructure provisioning reducing deployment complexity by 70%.

• Designed and deployed CI/CD pipelines using Jenkins and GitHub Actions with integrated security scanning (SAST, DAST, container scanning) reduced critical vulnerabilities by 45% and improved deployment compliance across production environments while maintaining 99.9% uptime.

• Engineered Infrastructure-as-Code framework using Terraform modules enabling 100+ services to provision infrastructure independently standardized infrastructure provisioning, reduced manual configuration efforts by 50%, and ensured consistency across dev, staging, and production environments.

• Implemented Kubernetes security best practices: RBAC, network policies, pod security standards, and secrets management using AWS Secrets Manager ensuring HIPAA compliance across healthcare and FinTech workloads while reducing unauthorized access risks by 40%.

• Automated containerized application deployments using Docker and Kubernetes (EKS), implementing blue-green and canary strategies improved release reliability by 35%, reduced deployment failures by 25%, and accelerated release cycles by 30% across 50+ teams.

• Developed GitOps automation framework using ArgoCD enabling continuous deployment from Git standardized application delivery, reduced manual interventions, and improved developer experience by providing git-based deployment workflows.

• Collaborated cross-functionally with development, security, and platform teams to embed infrastructure automation practices accelerated adoption of Kubernetes and IaC standards, reduced infrastructure provisioning time from 3 days to 2 hours (97% reduction). Platform Engineer (Infrastructure Automation) LTIMindtree Dec 2021 – Aug 2023 India

• Led Kubernetes migration of 30+ legacy on-premise applications to AWS EKS, designing cluster architecture, implementing monitoring with Prometheus/Grafana, and automating deployment pipelines improved system scalability and availability while reducing infrastructure costs by 30%.

• Engineered comprehensive Infrastructure-as-Code framework using Terraform and CloudFormation templates enabled repeatable, version-controlled environment provisioning, reduced manual configuration efforts by 50%, and standardized infrastructure across multi-environment cloud deployments.

• Designed and optimized end-to-end CI/CD pipelines using Jenkins and GitLab CI, automating build, test, and deployment workflows for 30+ microservices improved release efficiency by 40%, reduced deployment errors, and enabled continuous delivery practices.

• Implemented high availability architecture using EKS with multi-AZ deployments, Auto Scaling Groups, and Elastic Load Balancers ensured fault tolerance, minimized downtime, and achieved 99.9% application uptime for critical banking systems.

• Built centralized monitoring and logging infrastructure using Prometheus, Grafana, ELK Stack, and CloudWatch reduced incident response time by 35%, enabled proactive issue detection, and provided comprehensive visibility across distributed cloud infrastructure.

• Automated infrastructure provisioning for 10+ development teams using Terraform modules and CloudFormation standardized cloud resource creation, reduced provisioning time from 1 week to 2 hours, and ensured compliance with security policies. Cloud Infrastructure & Automation Engineer Cognizant Jan 2020 – Nov 2021 India

• Provisioned and managed scalable AWS infrastructure on EKS using Terraform architected Kubernetes clusters, implemented cluster autoscaling, and designed network segmentation with VPC and security groups.

• Automated infrastructure provisioning using AWS CloudFormation and Terraform templates enabled repeatable, version-controlled deployments, reduced manual configuration effort by 45%, and standardized environment setup across development, staging, and production systems.

• Implemented comprehensive monitoring and alerting solution using Prometheus, Grafana, and AWS CloudWatch enabled proactive incident detection, reduced system downtime by 30%, and improved operational visibility across cloud workloads.

• Supported CI/CD pipeline development and deployment automation, collaborating with development teams to streamline release processes reduced deployment failures by 25%, improved team velocity, and ensured stable application performance across cloud- hosted environments.

• Designed and implemented Kubernetes cluster security best practices including RBAC, network policies, and secrets management reduced security vulnerabilities and improved infrastructure compliance. EDUCATION

Masters of Science in Data Analytics May 2025

Indiana Wesleyan University

CERTIFICATIONS

• AWS Certified Solutions Architect Associate

• Certified Kubernetes Administrator (CKA)

Contact this candidate