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Naseer Ahammed

DevOps Engineer | Kubernetes · AWS · Azure | CI/CD · Terraform | 99.9% Uptime · 60% Faster Deployments

Bengaluru

3+ years of work experience

Oct 20242 yrsPresent

Designed and deployed end-to-end cloud infrastructure on AWS using Terraform for small-scale production workloads. Built CI/CD pipelines (Jenkins + Docker + Kubernetes) enabling automated build, test, and deployment workflows. Containerized applications and deployed to Kubernetes clusters, improving scalability and deployment consistency. Implemented monitoring and alerting (Prometheus, Grafana) to proactively detect failures and reduce downtime. Performed production issue troubleshooting (CPU spikes, pod restarts, deployment failures) using structured debugging techniques. Optimized infrastructure usage, reducing cloud costs by ~20% through right-sizing and cleanup strategies.
Cloud Software Group
Oct 20231 yrSep 2024

Pune District, Maharashtra, India

› Architected Kubernetes manifest files for WebFOCUS Container Edition across AWS, Azure, and GCP, reducing manual deployment interventions by 60% and cutting system errors by 35%. › Built and maintained Jenkins and Azure Classic CI/CD pipelines for multi-cloud deployments, reducing release cycle time by ~60% and improving deployment reliability to 99.9% uptime. › Automated Docker image pulls from custom repositories using scripted workflows, improving container deployment consistency and freeing ~30% of team capacity from repetitive ops tasks. › Managed cloud-related cases via Salesforce for 300+ clients, resolving access and configuration issues across cloud platforms and reducing average resolution time by 25%. › Designed Terraform-based infrastructure provisioning for scalable WebFOCUS deployments, cutting manual provisioning effort by 40% suggested across 3 cloud platforms. › Applied DevSecOps practices using SonarQube and Checkmarx across CI/CD pipelines, reducing security vulnerability exposure and ensuring compliance on every release.
TIBCO
Oct 20231 yrSep 2024

Designed scalable infrastructure using Terraform, reducing manual provisioning effort by 40%. Built and maintained Jenkins CI/CD pipelines, Azure Classic pipelines, reducing deployment time by ~60% and improving release reliability. Containerized applications using Docker and orchestrated deployments via Kubernetes, enabling scalable microservices architecture. Implemented monitoring solutions (Prometheus, Grafana) improving system visibility and reducing MTTR by 30%. Managed AWS and Azure environments ensuring high availability (99.9% uptime). Investigated and resolved production issues across application, infrastructure, and networking layers.
Feb 20239 mosOct 2023

Kochi, Kerala, India

› Designed and optimized Docker images for multi-environment deployments, improving build consistency across dev, staging, and production and reducing environment-related failures by ~40% suggested. › Authored and maintained Kubernetes manifests for service orchestration across AWS and Azure, enabling scalable microservices deployments with zero manual rollout steps. › Built Jenkins CI/CD pipelines from scratch for multiple projects, automating build-test-deploy workflows and reducing manual deployment effort by ~50% suggested. › Resolved production incidents using structured root cause analysis, improving mean time to resolution (MTTR) by 20% across application and infrastructure layers. › Managed and optimized Linux-based infrastructure to support production workloads, ensuring high availability and consistent performance across environments.

Naseer’s AI Stack

claude code
claude code
codex
codex

Education

Bachelor of Engineering, Computer Science And Engineering

Madina Engineering College

20084 yrs2012

Maths, Physics and Chemistry

H.S.C. Sri Chaitanya Educational Institute

20062 yrs2008

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Headline

DevOps Engineer | Kubernetes · AWS · Azure | CI/CD · Terraform | 99.9% Uptime · 60% Faster Deployments

About

I build infrastructure that lets engineering teams ship faster and sleep better at night. Over the past 4+ years, I've worked across AWS, Azure, and GCP — designing CI/CD pipelines, managing Kubernetes clusters, and writing Terraform that turns weeks of manual provisioning into minutes. At TIBCO, I cut deployment time by 60% and kept systems at 99.9% uptime. At Dbiz.ai, I containerized and orchestrated services that previously relied on heavy manual intervention. Most recently, I've been working freelance — building end-to-end cloud infrastructure for production workloads and helping teams get more out of what they already pay for (usually 20–30% less in cloud spend after optimization). The problems I actually enjoy solving: pipelines that randomly fail in production, Kubernetes pods that restart for no obvious reason, cloud bills that nobody can explain, and deployment processes that take 2 hours when they should take 10 minutes. My core stack: Kubernetes · Terraform · Docker · Jenkins · GitHub Actions · AWS · Azure · Prometheus · Grafana · ELK · Ansible · Python · Bash. I'm currently open to full-time DevOps or SRE roles where I can own infrastructure end-to-end, work with a strong engineering team, and keep building things that actually matter. If my background looks like a fit for what your team needs, feel free to reach out at naseercs91@gmail.com or connect with me here on LinkedIn. I'm an immediate joiner.

Location

Bengaluru

AI stack

claude code

codex

Work experience

DevOps Engineer at INFOSOL, Oct 2024 - Present · 2 yrs, Designed and deployed end-to-end cloud infrastructure on AWS using Terraform for small-scale production workloads. Built CI/CD pipelines (Jenkins + Docker + Kubernetes) enabling automated build, test, and deployment workflows. Containerized applications and deployed to Kubernetes clusters, improving scalability and deployment consistency. Implemented monitoring and alerting (Prometheus, Grafana) to proactively detect failures and reduce downtime. Performed production issue troubleshooting (CPU spikes, pod restarts, deployment failures) using structured debugging techniques. Optimized infrastructure usage, reducing cloud costs by ~20% through right-sizing and cleanup strategies.

DevOps Engineer at Cloud Software Group, Oct 2023 - Sep 2024 · 1 yr, Pune District, Maharashtra, India, › Architected Kubernetes manifest files for WebFOCUS Container Edition across AWS, Azure, and GCP, reducing manual deployment interventions by 60% and cutting system errors by 35%. › Built and maintained Jenkins and Azure Classic CI/CD pipelines for multi-cloud deployments, reducing release cycle time by ~60% and improving deployment reliability to 99.9% uptime. › Automated Docker image pulls from custom repositories using scripted workflows, improving container deployment consistency and freeing ~30% of team capacity from repetitive ops tasks. › Managed cloud-related cases via Salesforce for 300+ clients, resolving access and configuration issues across cloud platforms and reducing average resolution time by 25%. › Designed Terraform-based infrastructure provisioning for scalable WebFOCUS deployments, cutting manual provisioning effort by 40% suggested across 3 cloud platforms. › Applied DevSecOps practices using SonarQube and Checkmarx across CI/CD pipelines, reducing security vulnerability exposure and ensuring compliance on every release.

DevOps Engineer at TIBCO, Oct 2023 - Sep 2024 · 1 yr, Designed scalable infrastructure using Terraform, reducing manual provisioning effort by 40%. Built and maintained Jenkins CI/CD pipelines, Azure Classic pipelines, reducing deployment time by ~60% and improving release reliability. Containerized applications using Docker and orchestrated deployments via Kubernetes, enabling scalable microservices architecture. Implemented monitoring solutions (Prometheus, Grafana) improving system visibility and reducing MTTR by 30%. Managed AWS and Azure environments ensuring high availability (99.9% uptime). Investigated and resolved production issues across application, infrastructure, and networking layers.

DevOps Engineer at Factweavers Technologies Pvt Ltd, Feb 2023 - Oct 2023 · 9 mos, Kochi, Kerala, India, › Designed and optimized Docker images for multi-environment deployments, improving build consistency across dev, staging, and production and reducing environment-related failures by ~40% suggested. › Authored and maintained Kubernetes manifests for service orchestration across AWS and Azure, enabling scalable microservices deployments with zero manual rollout steps. › Built Jenkins CI/CD pipelines from scratch for multiple projects, automating build-test-deploy workflows and reducing manual deployment effort by ~50% suggested. › Resolved production incidents using structured root cause analysis, improving mean time to resolution (MTTR) by 20% across application and infrastructure layers. › Managed and optimized Linux-based infrastructure to support production workloads, ensuring high availability and consistent performance across environments.

Education

Bachelor of Engineering, Computer Science And Engineering, Madina Engineering College

Maths, Physics and Chemistry, H.S.C. Sri Chaitanya Educational Institute