Headline

Senior DevOps Engineer at TADA

About

Most platform teams scale by adding nodes and hoping nothing breaks. I scale by making the system boring: predictable, observable, and cheap to run. I currently support Kubernetes platforms running ~1,500 worker nodes, keeping them reliable enough that deployments are a non-event — 10+ non-prod releases a day without drama. I led a Jenkins-to-GitLab CI/CD migration that cut infrastructure cost and standardized how teams ship, and replaced ad-hoc package pulls with a Verdaccio caching proxy that quietly saves ~$500/month. My first question on any infra problem isn't "what do we add?" — it's "what can we remove or automate away?" Every manual step is a future incident, so I push fixes into Terraform, Terragrunt, and code rather than runbooks. I optimize for the 2 AM version of myself: clear signals, safe fallbacks, and clean root-cause trails. Stack — Platforms: Kubernetes (EKS/AKS), Istio, Teleport. Pipelines: GitLab, GitHub Actions, Jenkins, Azure. Automation: Terraform, Terragrunt, Python, Shell. Practice: SRE, incident response, cost optimization. Scaling a Kubernetes platform and want a second opinion on reliability or cost? Happy to chat — I'm open to remote DevOps/SRE/Platform roles with US teams.

Location

Bengaluru

AI stack

claude code

claude

notion

openai

Work experience

Senior DevOps Engineer at TADA, Aug 2026 - Present · 2 mos, Bengaluru

DevOps Engineer at MasterControl, Jun 2025 - Aug 2026 · 1 yr 3 mos, Hyderabad, • Supported Kubernetes platforms operating at scale across approximately 1,500 worker nodes, maintaining platform reliability, availability, and operational excellence. • Designed and supported Kubernetes networking solutions utilizing Istio service mesh, Elastic Load Balancers, ingress controllers, service discovery, and traffic routing. • Implemented Kubernetes scheduling policies using taints, tolerations, and workload placement strategies to optimize cluster resource utilization. • Led migration of CI/CD workloads from Jenkins to GitLab, improving automation, standardization, and operational efficiency while reducing infrastructure costs. • Served as a member of the Engineering Operations team responsible for designing, provisioning, and maintaining cloud infrastructure, developer platforms, and production services. • Automated infrastructure provisioning and operational workflows using Terraform, Terragrunt, Python, and Shell scripting to reduce manual effort and improve engineering efficiency. • Implemented Verdaccio proxy-based package caching solution reducing dependency retrieval overhead and generating approximately $500 per month in infrastructure cost savings. • Managed Teleport access gateways providing secure access to Kubernetes clusters, cloud environments, and databases supporting operational troubleshooting activities. • Supported high-frequency deployment operations with 10+ daily non-production releases while maintaining platform stability and operational readiness. • Participated in production incident response, root cause analysis, platform troubleshooting, and reliability improvement initiatives across Kubernetes-based environments. • Leveraged AI-assisted engineering workflows and automation techniques to improve operational efficiency and developer productivity.

DevOps Engineer at Randstad Digital, Oct 2024 - Jun 2025 · 9 mos, Gurugram, Owned CI/CD pipelines for 50+ services across dev and production in Azure DevOps, working directly with pharma clients including J&J and Pfizer. • Cut build times ~40% and infrastructure costs ~20% by introducing cost-efficient tooling such as Dataiku • Managed 50+ services end to end across GitHub Actions, Azure Pipelines, and Jenkins, with deployments to ECS and EKS • Partnered with regulated pharma clients to deliver reliable, compliant deployment workflows

Cloud DevOps Engineer at ShipBob, Mar 2023 - Jan 2024 · 11 mos, Noida, First DevOps role at a fast-moving startup, where I owned CI/CD on AWS and Azure and partnered directly with clients on system design and reliability. • Reduced application latency by ~40% by adding AWS Availability Zones and deploying region-specific infrastructure close to clients (e.g., Singapore) • Containerized applications with Docker and ran them on EKS/AKS, configured for auto-scaling and auto-healing • Joined client support calls to diagnose issues and improve system design, turning customer feedback into infrastructure improvements

AWS DevOps Engineer at Amazon, Oct 2018 - Dec 2022 · 4 yrs 3 mos, Delhi, India, Owned dev and staging (non-production) environments across 7 AWS regions spanning the US, Europe, and Asia, supporting global engineering teams on a weekly sprint and promotion cycle. • Drove AWS cost efficiency by ~30% through ongoing architecture reviews and right-sizing across services • Managed weekly promotion cycles, keeping non-production environments stable and release-ready for distributed teams • Operated and maintained infrastructure at multi-region scale, building the production judgment that underpins my work today

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, GLA University

Public links

github: https://github.com/harid1023