Headline

DevOps Engineer | 3 Years Experience | AWS Cloud Infrastructure | Jenkins | GitHub | Docker | Kubernetes | Ansible | Linux Administration | Python & Shell Scripting

About

As a DevOps Engineer with over 3 years of hands-on experience, I specialize in the architecture, deployment, and management of high-availability cloud environments. My career is defined by a commitment to the "Infrastructure as Code" (IaC) philosophy and a passion for building self-healing systems that empower development teams to ship code faster and more securely. Expertise Overview: I bridge the gap between complex software requirements and scalable infrastructure. My experience spans the entire SDLC, from optimizing Unix/Linux-based development environments to managing production-grade Kubernetes clusters and AWS cloud ecosystems. I don’t just "run tools"—I design workflows that reduce manual intervention and eliminate deployment bottlenecks. Core Technical Arsenal: Cloud Ecosystem (AWS): Deep proficiency in architecting resilient solutions using EC2, S3, and IAM. Specialized in modernizing data layers with RDS and implementing serverless logic via AWS Lambda. Orchestration & Containerization: Expert in Dockerizing legacy applications and managing container orchestration at scale using Kubernetes (K8s) and AWS ECS. Automation & IaC: Mastery of Terraform for multi-environment provisioning and Ansible for configuration management. CI/CD & Pipeline Engineering: Building sophisticated Jenkins pipelines that integrate automated testing, security scanning, and seamless deployment. Scripting & Systems: Advanced Python and Shell Scripting (Bash) for automating repetitive tasks and internal tooling. What I Bring to the Table: Scalability: Experience in managing environments that must handle fluctuating traffic through auto-scaling and load balancing. Security First: Implementing the "Least Privilege" principle across AWS IAM and ensuring secrets management is handled via secure vaults. Cost Management: A keen eye for cloud spends, utilizing CloudWatch and monitoring tools to identify and decommission underutilized resources. I am driven by the challenge of solving "impossible" infrastructure puzzles. Whether it’s reducing a build time by 50% or migrating an entire stack to a microservices architecture, I focus on results that impact the bottom line.

Location

Greater Bengaluru Area

AI stack

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Work experience

Software Engineer DevOps at Think Talent Services, Apr 2023 - Present · 3 yrs 3 mos, Bhubaneswar, DevOps Engineer with expertise in AWS, Linux, Git, Jenkins, Ansible, Terraform, Docker, and Python. Experienced in streamlining software development and deployment processes through continuous integration, configuration management, and Infrastructure as Code. Passionate about driving efficiency and scalability in IT operations through automation. Let's connect to propel your DevOps initiatives forward! #DevOps #AWS #Linux #Jenkins #Terraform #Docker #Python

DevOps Engineer at Think Talent Services, Apr 2023 - Present · 3 yrs 3 mos, Designed and deployed containerized microservices using Docker and AWS ECS, improving scalability and service reliability. Automated infrastructure provisioning using Terraform (Infrastructure as Code), reducing manual setup effort by ~60%. Built and maintained CI/CD pipelines using Jenkins, enabling faster and consistent application deployments. Developed Python (Boto3) automation scripts to dynamically generate and manage Terraform configurations. Configured and managed Application Load Balancer (ALB), target groups, and auto-scaling for high-availability systems. Implemented centralized logging and monitoring using AWS CloudWatch, improving incident detection and resolution time. Managed AWS resources including EC2, S3, RDS, IAM, and VPC, ensuring secure and optimized cloud infrastructure. Collaborated with development teams to troubleshoot deployment issues and enhance release processes.

DevOps Intern at Happymonk.ai, Feb 2023 - Apr 2023 · 3 mos, Bengaluru, Karnataka, India, He was joined as a DevOps Intern with hands-on experience in various DevOps Tools and Linux and Scripting.

DevOps Specialist at Happymonk AI Labs Pvt. Ltd., Feb 2023 - Apr 2023 · 3 mos, Assisted in implementing CI/CD pipelines using Jenkins for automated build and deployment workflows. Supported infrastructure provisioning using Terraform and AWS services (EC2, S3, IAM). Worked on Docker containerization, ensuring consistency across development and production environments. Gained hands-on experience with monitoring tools (Prometheus, Grafana). Participated in debugging, troubleshooting, and optimizing system performance.

Education

Bachelor of Technology, Synergy Institute of Technology (SIT), Pahala, Bhubaneswar