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Bejavada Tharak nadh

Systems Engineer | AWS | Kubernetes | Terraform | GitOps | CI/CD

Hyderabad

4+ years of work experience

EPAM Systems
Dec 20241 yr 5 mosPresent

India

Presented cloud‑native features during Agile sprint demos and collaborated closely with engineering teams to implement scalable and secure AWS solutions. Standardized AWS infrastructure and Kubernetes (EKS) cluster provisioning using Terraform, improving environment consistency and significantly reducing manual effort. Managed code repositories using Git and GitHub, applying best practices for branching, merging, reviews, and version control to enhance collaboration and maintain code integrity. Delivered and maintained Helm charts to standardize microservices deployments across multiple environments. Performed hands‑on EKS version upgrades, optimized cluster autoscaling using Karpenter, and implemented GitOps‑based deployment automation. Integrated CI/CD pipelines using AWS CodeBuild and CodePipeline, accelerating release cycles and improving software quality through DevOps best practices. Enhanced monitoring and alerting using Datadog, reducing mean time to recovery (MTTR) by 25%. Documented architecture changes, deployment processes, and platform optimizations to strengthen reliability and support effective team knowledge sharing. Containerized applications using Docker, optimized Dockerfiles to reduce image size, and improved application startup performance. Tech Stack: AWS (EKS, ECS, EC2, S3, Fargate, Secrets Manager), Terraform, Helm, Docker, Argo CD, Karpenter, Datadog, Linux, GitHub.
EPAM Systems
Feb 20222 yrs 11 mosDec 2024

Hyderabad, Telangana, India

Designed and operated a Kubernetes‑based microservices deployment platform on AWS EKS, enabling multi‑team adoption and high‑reliability releases. Onboarded 4+ application teams, improving deployment success rates and reducing manual interventions. Built scalable, secure AWS architectures using Terraform, ensuring consistency and high availability across environments. Automated provisioning of VPC, EC2, EKS, RDS/Aurora, S3, and IAM using reusable Terraform modules and CI pipelines, cutting environment setup time by ~60%. Implemented cloud security best practices through IAM, Security Groups, NACLs, AWS Inspector, and GuardDuty to strengthen compliance and access governance. Developed robust CI/CD pipelines with GitHub Actions, FluxCD, and Flagger, enabling blue‑green and canary rollouts that reduced release time by ~40%. Established centralized logging with EFK and OpenSearch, improving debugging speed and reducing RCA timelines. Managed full secrets lifecycle using HashiCorp Vault, ensuring secure integrations for application teams. Optimized platform performance with EKS Autoscaling, EC2 ASG, HPA/VPA, improving resilience during peak loads. Executed zero‑downtime EKS upgrades using blue‑green strategies and enhanced cluster scalability and reliability by 40%. Achieved ~30% cost optimization with automated downscalers, Goldilocks‑based rightsizing, and proactive monitoring. Configured Calico network policies for pod‑level traffic control and segmentation. Strengthened governance through Kyverno policies, quotas, and namespace restrictions to enforce consistent operational standards. Led onboarding, documentation, and cross‑team collaboration to increase platform adoption and efficiency. Delivered L3 and on‑call production support, ensuring rapid incident resolution and platform stability. Performed PostgreSQL/Aurora backup, restore, and DR operations to enhance data reliability.

Bejavada’s AI Stack

cursor
cursor
github copilot
github copilot
langchain
langchain
ollama
ollama

Education

Bharath Institute of Higher Education and Research

Bachelor's degree, Computer Science

Bharath Institute of Higher Education and Research

20184 yrs2022

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Headline

Systems Engineer | AWS | Kubernetes | Terraform | GitOps | CI/CD

About

DevOps Engineer with 4+ years of experience in infrastructure automation using Terraform, managing cloud-native deployments on AWS, and container orchestration with Kubernetes. Proficient in building CI/CD pipelines using Jenkins and ensuring scalable, secure, and highly available systems. Strong in agile environments, with a focus on process automation, collaboration, and delivering robust software releases.

Location

Hyderabad

AI stack

cursor

github copilot

langchain

ollama

Work experience

System Engineer at EPAM Systems, Dec 2024 - Present · 1 yr 5 mos, India, Presented cloud‑native features during Agile sprint demos and collaborated closely with engineering teams to implement scalable and secure AWS solutions. Standardized AWS infrastructure and Kubernetes (EKS) cluster provisioning using Terraform, improving environment consistency and significantly reducing manual effort. Managed code repositories using Git and GitHub, applying best practices for branching, merging, reviews, and version control to enhance collaboration and maintain code integrity. Delivered and maintained Helm charts to standardize microservices deployments across multiple environments. Performed hands‑on EKS version upgrades, optimized cluster autoscaling using Karpenter, and implemented GitOps‑based deployment automation. Integrated CI/CD pipelines using AWS CodeBuild and CodePipeline, accelerating release cycles and improving software quality through DevOps best practices. Enhanced monitoring and alerting using Datadog, reducing mean time to recovery (MTTR) by 25%. Documented architecture changes, deployment processes, and platform optimizations to strengthen reliability and support effective team knowledge sharing. Containerized applications using Docker, optimized Dockerfiles to reduce image size, and improved application startup performance. Tech Stack: AWS (EKS, ECS, EC2, S3, Fargate, Secrets Manager), Terraform, Helm, Docker, Argo CD, Karpenter, Datadog, Linux, GitHub.

Junior System Engineer at EPAM Systems, Feb 2022 - Dec 2024 · 2 yrs 11 mos, Hyderabad, Telangana, India, Designed and operated a Kubernetes‑based microservices deployment platform on AWS EKS, enabling multi‑team adoption and high‑reliability releases. Onboarded 4+ application teams, improving deployment success rates and reducing manual interventions. Built scalable, secure AWS architectures using Terraform, ensuring consistency and high availability across environments. Automated provisioning of VPC, EC2, EKS, RDS/Aurora, S3, and IAM using reusable Terraform modules and CI pipelines, cutting environment setup time by ~60%. Implemented cloud security best practices through IAM, Security Groups, NACLs, AWS Inspector, and GuardDuty to strengthen compliance and access governance. Developed robust CI/CD pipelines with GitHub Actions, FluxCD, and Flagger, enabling blue‑green and canary rollouts that reduced release time by ~40%. Established centralized logging with EFK and OpenSearch, improving debugging speed and reducing RCA timelines. Managed full secrets lifecycle using HashiCorp Vault, ensuring secure integrations for application teams. Optimized platform performance with EKS Autoscaling, EC2 ASG, HPA/VPA, improving resilience during peak loads. Executed zero‑downtime EKS upgrades using blue‑green strategies and enhanced cluster scalability and reliability by 40%. Achieved ~30% cost optimization with automated downscalers, Goldilocks‑based rightsizing, and proactive monitoring. Configured Calico network policies for pod‑level traffic control and segmentation. Strengthened governance through Kyverno policies, quotas, and namespace restrictions to enforce consistent operational standards. Led onboarding, documentation, and cross‑team collaboration to increase platform adoption and efficiency. Delivered L3 and on‑call production support, ensuring rapid incident resolution and platform stability. Performed PostgreSQL/Aurora backup, restore, and DR operations to enhance data reliability.

Education

Bachelor's degree, Computer Science, Bharath Institute of Higher Education and Research

Bejavada Tharak nadh - System Engineer in Hyderabad | Tal