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Hi, I’m Jeetendra Girish Vasisht, a results-driven software engineer with a strong focus on cloud-native infrastructure, DevOps, and scalable microservices. I design and operate production-grade Kubernetes platforms across multi-region AWS environments, automate cloud provisioning with IaC, and build observable systems that reduce MTTR and improve reliability. I’m pursuing a Master’s in Computer Science to deepen my expertise and continue delivering secure, high-performance software solutions. I enjoy mentoring teammates, driving best practices in DevOps, and collaborating with cross-functional teams to ship features with speed and quality.…Hi, I’m Jeetendra Girish Vasisht, a results-driven software engineer with a strong focus on cloud-native infrastructure, DevOps, and scalable microservices. I design and operate production-grade Kubernetes platforms across multi-region AWS environments, automate cloud provisioning with IaC, and build observable systems that reduce MTTR and improve reliability. I’m pursuing a Master’s in Computer Science to deepen my expertise and continue delivering secure, high-performance software solutions. I enjoy mentoring teammates, driving best practices in DevOps, and collaborating with cross-functional teams to ship features with speed and quality.

Jeetendra Girish Vasisht

DevOps Developer, Full Stack Developer, Cloud Developer, +2

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Hi, I’m Jeetendra Girish Vasisht, a results-driven software engineer with a strong focus on cloud-native infrastructure, DevOps, and scalable microservices. I design and operate production-grade Kubernetes platforms across multi-region AWS environments, automate cloud provisioning with IaC, and build observable systems that reduce MTTR and improve reliability. I’m pursuing a Master’s in Computer Science to deepen my expertise and continue delivering secure, high-performance software solutions. I enjoy mentoring teammates, driving best practices in DevOps, and collaborating with cross-functional teams to ship features with speed and quality.…Hi, I’m Jeetendra Girish Vasisht, a results-driven software engineer with a strong focus on cloud-native infrastructure, DevOps, and scalable microservices. I design and operate production-grade Kubernetes platforms across multi-region AWS environments, automate cloud provisioning with IaC, and build observable systems that reduce MTTR and improve reliability. I’m pursuing a Master’s in Computer Science to deepen my expertise and continue delivering secure, high-performance software solutions. I enjoy mentoring teammates, driving best practices in DevOps, and collaborating with cross-functional teams to ship features with speed and quality.

Available to hire

Hi, I’m Jeetendra Girish Vasisht, a results-driven software engineer with a strong focus on cloud-native infrastructure, DevOps, and scalable microservices. I design and operate production-grade Kubernetes platforms across multi-region AWS environments, automate cloud provisioning with IaC, and build observable systems that reduce MTTR and improve reliability. I’m pursuing a Master’s in Computer Science to deepen my expertise and continue delivering secure, high-performance software solutions.
I enjoy mentoring teammates, driving best practices in DevOps, and collaborating with cross-functional teams to ship features with speed and quality.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

Expert

Expert

Work Experience

Associate Software Engineer at Nokia

July 1, 2024 - July 1, 2024

Architected and deployed production-grade Kubernetes clusters with Docker and Helm across 3 AWS regions, managing 50+ microservices with automated health checks, HPA/VPA autoscaling, and self-healing pod recovery to achieve 99.9% uptime. Implemented Infrastructure as Code (IaC) using Terraform and CloudFormation for 200+ cloud resources, eliminating manual provisioning and drift, and accelerating environment setup from days to 10 minutes. Built a comprehensive observability stack with Prometheus, Grafana, and ELK, processing 50GB+ logs daily, creating 30+ dashboards and 200+ alerts that reduced MTTR by 65% and enabled proactive incident prevention. Designed a multi-tenant Kubernetes platform with namespace isolation, RBAC, network policies, and resource quotas, enabling 15+ development teams to deploy independently while maintaining security controls and passing SOC2 compliance audits. Built and optimized Jenkins CI/CD pipelines with GitLab workflows, implementing blue-green deployment

Graduate Engineer Trainee at Nokia

January 1, 2023 - January 1, 2023

Automated cloud infrastructure provisioning using Python scripts and Bash for AWS EC2, S3, and RDS deployment workflows, reducing manual operations by 30% and ensuring consistent environment configurations across development, staging, and production. Optimized Apache Kafka cluster configuration (batch size, compression, retention policies) processing 200K+ events/day, reducing notification latency by 20ms and improving real-time messaging reliability for the OrderHub component. Built automated testing framework integrating JUnit, integration tests, and Robot Framework with Jenkins CI hooks, achieving 85% code coverage and reducing post-release production errors by 10%. Implemented Docker containerization for 10+ microservices with multi-stage builds, reducing image sizes by 20%, and deployed using Kubernetes manifests with health checks and resource limits.

Developer Intern at OneTrust

July 1, 2022 - July 1, 2022

Deployed secure full-stack compliance application using Angular, Spring Boot, and MySQL on AWS EC2 with automated CI/CD through Jenkins and GitHub Actions, implementing Docker containerization and passing internal security audit. Integrated JWT-based authentication, RBAC, and AES-256 encryption for 10K+ records/day, implementing security best practices and achieving zero critical vulnerabilities in penetration testing. Implemented comprehensive testing automation with JUnit, Postman, and integration tests in CI/CD pipelines, raising test coverage to 90% and reducing QA-reported issues by 30%. Configured monitoring and alerting using CloudWatch and custom metrics, establishing baseline SLIs for application performance and enabling proactive issue detection.