Vasa Nitesh
DevOps Engineer | Kubernetes Platform Engineering | Terraform Automation | Reduced Deployment Failures 40% | 99.9% Uptime | AWS Bedrock & GenAI Platforms
- Role
- Devops Engineer at Wells Fargo
- Location
- East Brunswick, NJ, US
- LinkedIn followers
- 500 followers
About Vasa Nitesh
I’m a DevOps Engineer with 7+ years of experience designing, automating, and optimizing cloud infrastructure across AWS and Azure. I’m passionate about building scalable, secure, and resilient systems that help teams deliver faster and smarter.Over the years, I’ve cut deployment times by 50%, improved uptime to 99.9%, and saved over $300K annually through automation, monitoring, and cost optimization. My hands-on expertise spans Terraform, Kubernetes, CI/CD pipelines, Python scripting, and DevSecOps practices.I enjoy solving complex infrastructure challenges, mentoring cross-functional teams, and turning manual processes into reliable automation. Whether it’s infrastructure as code, cloud security, or observability, I focus on solutions that drive measurable impact.I’m always eager to connect with professionals who value efficiency, collaboration, and innovation in cloud engineering. Let’s build something impactful together.
Experience
Devops Engineer
Jul 2023 — Present
Orchestrated CI/CD integrations across Jenkins, GitHub Actions, Bitbucket, and Harness, deploying Linux-based runners and embedding policy-as-code, increasing pipeline efficiency by 35% and reducing build failures by 30%- Engineered scalable Harness pipelines with Python-based compliance checks and container vulnerability scanning,reducing deployment errors by 40% and cutting critical findings by 45%- Provisioned container platforms on AWS (EKS, ECS) and Azure (AKS) using Terraform and Ansible, reducingmanual provisioning by 50%- Established private VPC architectures with VPC Endpoints and IAM role isolation to securely enable AWS Bedrock, SageMaker, and OpenAI integrations- Optimized Kubernetes workloads by tuning resource requests, limits, and HPA settings, resolving pod restarts and lowering repeat deployment failures by 25%- Instituted SLOs and calibrated alerts across Datadog, Dynatrace, Prometheus, CloudWatch, and Azure Monitor, reducing MTTR by 30% and sustaining 99.9% uptime- Deployed Cloudflare for DNS, CDN, and DDoS protection, strengthening edge security and improving trafficresilience under peak loads- Implemented cross-account IAM and Azure Entra ID (Azure AD) RBAC policies to enforce least-privilege AI service invocation and multi-cloud access control while preserving developer productivity- Streamlined secure AI developer workflows with Amazon Q and Claude, accelerating code review and documentation cycles by 25%- Formalized incident response, runbooks, and post-mortems, avoiding $150K annually in downtime impact- Guided engineers, performed code reviews, and codified CI/CD best practices, reducing onboarding time by 25%.
Education
Jawaharlal Nehru Technological University Hyderabad (JNTUH)
Bachelor's degree, Computer Science
Arizona State University
Master's degree, Information Technology
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