DevOps & SRE Engineer @ Dell | 87% Build Time Reduction | Kubernetes • Jenkins • GitHub Actions • AWS/Azure • Terraform | Scaling CI/CD to 100+ Concurrent Jobs | VIT Vellore (CSE)

Banglore


Banglore




Bachelor of Technology, Computer Engineering
Vellore Institute of Technology
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Download Tal BossDevOps & SRE Engineer @ Dell | 87% Build Time Reduction | Kubernetes • Jenkins • GitHub Actions • AWS/Azure • Terraform | Scaling CI/CD to 100+ Concurrent Jobs | VIT Vellore (CSE)
Containers changed everything. Kubernetes made it manageable. I'm a DevOps Engineer at Dell Technologies specializing in Kubernetes and container orchestration. I build infrastructure that scales — from single deployments to 100+ concurrent CI/CD jobs running in parallel. 🎯 Kubernetes Expertise: • Deployed and managed production K8s clusters for CI/CD workloads • Scaled Jenkins runners on Kubernetes for 100+ parallel jobs • Implemented GitOps with Argo CD for declarative deployments • Containerized enterprise applications with Docker 📊 Impact at Dell: → 87% reduction in CI/CD build times → 100+ concurrent jobs on Kubernetes infrastructure → Zero-downtime deployments with GitOps → Self-healing infrastructure with proper health checks 🛠️ Container & Orchestration Stack: • Kubernetes (deployments, pods, namespaces, services) • Docker (multi-stage builds, optimization) • Helm (chart development and management) • Argo CD (GitOps continuous delivery) • Jenkins on K8s (dynamic agent provisioning) ☁️ Cloud Platforms: AWS (EKS, ECS), Azure (AKS) 📝 IaC: Terraform, YAML, Groovy 🎯 Looking for: Kubernetes Engineer, Platform Engineer, or Container Infrastructure roles Check my K8s projects: github.com/MunilakshmiP
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Software engineer 1 at Dell Technologies, Jun 2024 - Present · 2 yrs 3 mos, Banglore, Designing and optimizing enterprise CI/CD systems: 🏗️ Pipeline Architecture • Architected multi-stage CI/CD pipelines using Jenkins and GitHub Actions • Implemented intelligent caching strategies for 87% build time reduction • Designed parallel execution patterns for maximum throughput 🔄 Migration & Modernization • Led migration of 100+ CI/CD jobs from Jenkins to GitHub Actions • Implemented Mavenization (pom.xml) for standardized builds • Established reusable pipeline templates and shared libraries 🤖 Automation • Built Workflow Error Analysis system for automated failure diagnosis • Developed auto-generated reports mapping failures to fix locations • Automated EXE build generation and sanity testing 📊 Monitoring • Created Grafana/Prometheus dashboards for pipeline visibility • Set up automated Jenkins node-health alerts • Implemented CI/CD traceability with Loki/Promtail 🔐 Security • Integrated BlackDuck scanning and secure code signing • Implemented SSO for pipeline access control
DevOps Engineer at Dell Technologies, Jun 2024 - Present · 2 yrs 3 mos, Built an AI-powered CI/CD Failure Analysis platform combining heuristic signature-based taxonomy with LLM fallback classification, auto-categorizing GitHub Actions CI and IRT test CD failures into 9 root-cause categories — improving failure triage efficiency by 40%. Reduced CI/CD build time by 87% (77 min → 10 min) by re-architecting Jenkins and GitHub Actions pipelines with build automation tooling, shallow-clone optimisation, and parallelised job execution. Migrated 100+ CI/CD jobs from Jenkins to GitHub Actions via Mavenization and standardised pom.xml configuration, modernising the delivery platform with zero disruption to release cadence. Founded and lead Dell’s internal AI Engineering Community — delivered weekly enablement sessions, mentored engineers on AI-assisted workflows, and drove 5+ AI use cases into production across CI/CD, reporting, and test analysis. Eliminated infrastructure bottlenecks by deploying Kubernetes pods as elastic CI/CD runners, managing deployments, namespaces, and scaling to serve 100+ concurrent jobs with Artifactory-backed artifact storage. Embedded DevSecOps into the delivery pipeline by integrating BlackDuck vulnerability scanning and secure code-signing workflows, ensuring every release artifact is compliance-verified before distribution. Cut mean-time-to-detect for pipeline outages by building automated health-check and failure alerting via REST APIs with real-time Microsoft Teams notifications for node-offline and job-failure events. Delivered centralised observability for CI/CD using Grafana, Prometheus, Loki, and Promtail — giving engineering leadership single-pane traceability across builds, tests, and deployments. Automated DUAF server test execution using Python, JSON, and REST APIs, removing manual validation overhead from the release process. Reduced repository size by 40% and clone time by 25% through a Bitbucket branch-hygiene and cleanup initiative across active repositories.
Software Engineer at Dell Technologies, Feb 2024 - May 2024 · 4 mos, Banglore
Bachelor of Technology, Computer Engineering, Vellore Institute of Technology
github: https://github.com/MunilakshmiP