Nidhi Zala

About Nidhi Zala

I’m a CloudOps/Site Reliability Engineer at IBM with over 3 years of hands-on experience in DevOps, cloud infrastructure, and reliability engineering. I specialize in building scalable, observable, and cost-efficient systems that keep products running smoothly — and automating everything possible along the way.Over the past few years, I’ve-Proficient in Shell scripting, Python programming, and Linux administration for automation, system maintenance, and performance optimisation- Automated infrastructure provisioning and deployment using Terraform, Jenkins, Docker, and Kubernetes, enabling faster, consistent, and repeatable releases across environments- Set up robust monitoring and alerting systems with Prometheus, Grafana, and Instana, improving detection and response times- Reduced monitoring and compute costs through workload profiling, right-sizing, and FinOps optimization- Enhanced system performance, cutting latency and storage costs via a strategic migration to MongoDB Atlas- Defined SLIs/SLOs and implemented safe release practices, maintaining 99.9% uptime across 10+ production services- Led on-call operations to sustain low MTTR (<15 mins) for critical incidents, supported by detailed runbooks and root-cause analysis.My toolkit includes Python, Shell, AWS, Kubernetes, Docker, Jenkins, Terraform, Ansible, Grafana, Prometheus, Instana, and OpenShift — and I’m certified as a HashiCorp Terraform Associate.I’m passionate about the intersection of DevOps, Cloud, and AI, exploring how intelligent automation can improve observability, performance, and developer productivity. B.Tech in Information & Communication Technology (PDEU, 9.56/10) Awards: IBM Mentor Badge • People’s Choice Hackathon Winner • CSR Volunteer Award🤝 Leadership: General Secretary – Encode (CS Club)| Treasurer | Mentor to 35+ undergradsAlways open to connecting about Devops, cloud automation, or AI-driven DevOps. n••••••••@gmail.com

Experience

1. Cloudops & Site Reliability Engineer Professional

   IBM

   Jul 2024 — Present · Pune, IN

   Designed and managed production-grade cloud infrastructure using Terraform, enabling rapid, consistent deployments across multiple environments and regions- Built and operated OpenShift clusters, ensuring secure, resilient workloads for 40+ microservices- Led an organization-wide FinOps and observability optimization initiative, reducing AWS monitoring costs through profiling, metric rationalization, and retention tuning- Improved application latency and reduced storage costs by leading a migration from Amazon DocumentDB to MongoDB Atlas- Implemented end-to-end observability using CloudWatch, Prometheus, Grafana, and Instana, improving incident detection time- Defined and enforced SLIs, SLOs, and error budgets for 10+ critical services, sustaining 99.9% uptime across bi-weekly production releases- Worked on CI/CD pipelines using Jenkins, Docker, Helm, and Git, enabling safe deployments with rolling updates- Developed Python automation for AWS resource provisioning, monitoring, and reporting, reducing manual operational effort- Actively participated in 24×7 on-call rotations, maintaining MTTR for high-severity incidents using PagerDuty and runbooks- Mentored junior engineers, conducted code and reviews, and established DevOps best practices that reduced technical debt

Education

• Pandit Deendayal Energy University

  Bachelor of Technology - BTech, Information and communication Technology

  2019 — 2023

• Dalmia Public School - India

  PCM