Shubham Kumar

About Shubham Kumar

Hi, I’m Shubham Kumar — a dedicated DevOps & Cloud Engineer with hands-on experience in streamlining infrastructure, automating deployments, and improving system reliability at scale. With a strong foundation in cloud, CI/CD, and container orchestration, I focus on building robust, secure, and scalable solutions that accelerate delivery and reduce manual overhead.I specialize in creating efficient pipelines, managing Kubernetes clusters, and implementing Infrastructure as Code (IaC) using tools like Terraform and Ansible. My goal is to enable faster, safer software releases through automation and smart engineering. Key Skills Cloud Platforms: AWS, Azure, DigitalOcean CI/CD: Jenkins, GitLab CI, ArgoCD IaC & Automation: Terraform, Ansible Containers & Orchestration: Docker, Kubernetes (EKS/AKS) Monitoring: Prometheus, Grafana, Loki Security Tools: Vault, Trivy, Snyk, WAF Scripting: Bash, PythonI’m always exploring new technologies and best practices in DevOps, SRE, and cloud-native development to improve performance, cost-efficiency, and security.Let’s connect — happy to talk DevOps or collaborate on exciting cloud initiatives!

Experience

1. Devops Engineer

   AlphaGrep

   Sep 2025 — Present · Gurugram, IN

   Trading Infrastructure & Reliability– Worked in a low-latency trading environment, supporting high-performance Linux systems used for algorithmictrading.– Focused on system reliability, uptime, and fast recovery for mission-critical trading services.– Performed deep troubleshooting across Linux processes, CPU scheduling, memory, and network-level bottlenecks.Automated Deployment & Fast Release Strategy– Built automation-driven deployment workflows to enable fast and repeatable system deployments.– Implemented safe and rapid rollout strategies to minimize risk during production releases.– Reduced manual intervention by automating service startup, validation, and rollback.Python Automation & Data Processing– Developed Python automation scripts for system orchestration, log processing, and operational analytics.– Worked with Python dataframes to analyze system metrics, latency patterns, and deployment health.– Automated report generation and operational dashboards for faster decision-making.Monitoring & Observability– Implemented and tuned monitoring and alerting to track CPU, memory, disk, and latency metrics.

Education

• CHANDIGARH UNIVERSITY

  Bachelor of Engineering - BE, Computer Science Engineer

• CAMBRIDGE SCHOOL

  Matriculation

• R.P.S SCHOOL

  Intermediate, PCM