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Larishna Sahoo

AWS DevOps Engineer | Kubernetes (EKS) & Terraform Specialist | CI/CD Automation | Cloud Cost Optimization | 3 Years Experience

Bengaluru

3+ years of work experience

TECHBEEZ SOFTWARE TECHNOLOGIES PVT LTD
Nov 20233 yrsPresent

Bengaluru, Karnataka, India

Architected and maintained AWS EKS clusters powering 20+ microservices in production, delivering high availability and seamless scalability. Cut deployment time by 70% by building and optimizing CI/CD pipelines with Jenkins and AWS CodePipeline, transforming release velocity across dev, QA, and prod. Achieved zero-downtime releases by implementing Blue-Green and Rolling deployment strategies, managing Kubernetes networking, Ingress, ConfigMaps, and Secrets at scale. Standardized infrastructure across environments using Terraform modules and AWS CloudFormation, enabling consistent, repeatable, error-free deployments. Engineered auto-scaling resilience with HPA, Cluster Autoscaler, and EC2 ASGs, keeping production stable through traffic spikes. Slashed MTTR by 40% by building centralized observability with CloudWatch, ELK Stack, and Grafana β€” turning incident response from reactive to proactive. Eliminated recurring production issues by leading root cause analysis (RCA) across CI/CD, AWS, and Kubernetes workloads and shipping preventive automation. Reduced manual ops overhead by automating provisioning and operational tasks with Python, Bash, AWS CLI, and Ansible.

Larishna’s AI Stack

claude code
claude code
codex
codex
gemini
gemini
github copilot
github copilot

Education

Biju Patnaik University of Technology, Odisha

Master of Computer Applications - MCA, Computer Software Engineering

Biju Patnaik University of Technology, Odisha

20183 yrs2021
Utkal University

Bsc, Computer Science

Utkal University

20153 yrs2018

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Headline

AWS DevOps Engineer | Kubernetes (EKS) & Terraform Specialist | CI/CD Automation | Cloud Cost Optimization | 3 Years Experience

About

Results-driven AWS DevOps Engineer with 2.5+ years of experience specializing in automating scalable cloud infrastructure and high-velocity CI/CD pipelines. I'm passionate about bridging the gap between development and operations to deliver high-quality, high-availability software solutions. My technical foundation is built on AWS, Kubernetes (EKS), Terraform, and Jenkins, with a deep focus on Infrastructure as Code (IaC) and container orchestration. I thrive on solving complex operational challenges to drive efficiency and reliability. Key Achievements: πŸš€ High-Velocity CI/CD: Architected end-to-end pipelines that reduced deployment times by 70% across 20+ production microservices. ☁️ Cloud Cost Optimization: Built AWS Lambda automation to identify and clean up unused resources, lowering monthly cloud spend by 20%. βš™οΈ Reliability & Availability: Engineered high-availability environments on Amazon EKS, reducing MTTR by 40% through centralized monitoring and alerting (CloudWatch, ELK, Grafana). I'm a strong believer in continuous learning β€” currently deepening my focus on advanced testing practices, FinOps, and next-gen cloud DevOps strategies for secure, production-grade environments. Core Technical Stack: Cloud: AWS (EC2, VPC, EKS, ECS, Lambda, RDS) DevOps/CI/CD: Jenkins, AWS CodePipeline, Git, Blue-Green/Rolling Deployments IaC: Terraform, CloudFormation, Ansible Containers: Docker, Kubernetes (EKS), HPA, RBAC Monitoring: ELK Stack, CloudWatch, Grafana Scripting: Python, AWS CLI

Location

Bengaluru

AI stack

claude code

codex

gemini

github copilot

Work experience

DevOps Engineer at TECHBEEZ SOFTWARE TECHNOLOGIES PVT LTD, Nov 2023 - Present Β· 3 yrs, Bengaluru, Karnataka, India, Architected and maintained AWS EKS clusters powering 20+ microservices in production, delivering high availability and seamless scalability. Cut deployment time by 70% by building and optimizing CI/CD pipelines with Jenkins and AWS CodePipeline, transforming release velocity across dev, QA, and prod. Achieved zero-downtime releases by implementing Blue-Green and Rolling deployment strategies, managing Kubernetes networking, Ingress, ConfigMaps, and Secrets at scale. Standardized infrastructure across environments using Terraform modules and AWS CloudFormation, enabling consistent, repeatable, error-free deployments. Engineered auto-scaling resilience with HPA, Cluster Autoscaler, and EC2 ASGs, keeping production stable through traffic spikes. Slashed MTTR by 40% by building centralized observability with CloudWatch, ELK Stack, and Grafana β€” turning incident response from reactive to proactive. Eliminated recurring production issues by leading root cause analysis (RCA) across CI/CD, AWS, and Kubernetes workloads and shipping preventive automation. Reduced manual ops overhead by automating provisioning and operational tasks with Python, Bash, AWS CLI, and Ansible.

Education

Master of Computer Applications - MCA, Computer Software Engineering, Biju Patnaik University of Technology, Odisha

Bsc, Computer Science, Utkal University