Shubham Singh

About Shubham Singh

Platform Engineer / DevOps Engineer with 6+ years building and operating cloud infrastructure at scale - across fast-moving startups and global enterprises.I build the platforms product teams depend on. My work spans fleet-scale Kubernetes clusters, 99.99% availability), multi-cloud infrastructure (AWS, GCP, Alibaba), GitOps-driven CI/CD (ArgoCD, Flux, Spinnaker), kernel-level networking (IPVS, eBPF, CNI), and AI-driven incident remediation. The through-line across my career: reducing toil through automation and improving reliability through data-driven engineering. Recent wins include architecting an AI-Ops framework that cut incident resolution time by 70% via AI-powered diagnosis, alert enrichment, and self-healing Kubernetes Operators. I focus on building and operating infrastructure using an integrated AI-coding stack - Claude Code, Cursor, and Windsurf paired with MCP servers (GitHub, Kubernetes, Terraform, Slack, observability). This accelerates the full DevOps cycle: scaffolding Terraform modules, generating Kubernetes manifests and Operators (Go), authoring Helm charts, writing runbooks, automating PR reviews, and driving incident triage from agent prompts. It\'s not a gimmick - it\'s 30-50% faster iteration on real platform work. I write production code in Go, Python, and TypeScript. Comfortable across the full platform stack: Kubernetes Operators, Terraform modules, Helm/Kustomize, ArgoCD/Flux, Spinnaker, Prometheus/Grafana/Splunk/Loki observability, Istio service mesh, OPA policy, Vault secrets, Karpenter autoscaling, Backstage developer portals. Core focus areas: Platform Engineering · DevOps · Site Reliability Engineering · Cloud Infrastructure · Kubernetes · AI-Ops · Agentic DevOps · GitOps · Observability · FinOps · DevSecOps. I thrive on fleet-scale problems - multi-tenant platforms, internal developer platforms (IDPs), AI-for-infrastructure, and incident automation. Deeply interested in how AI coding agents (Claude, Cursor, Windsurf) and AI-Ops systems (K8sGPT, Warden-style frameworks) are reshaping the DevOps/SRE role from reactive firefighting to systems architecture. Publications: Nature Scientific Reports (IF 42.78), Honors: UN Reboot-the-Earth \'19 Winner. Open to Senior/Staff Platform, DevOps, SRE, Infrastructure, or Cloud Engineer roles.Reach me: s••••••••@outlook.com · shubhamsinngh.com

Experience

1. Member of Technical Staff - Devops Engineering

   Salesforce

   Sep 2024 — Present · Hyderabad, IN

   Own reliability for production Kubernetes clusters across AWS, GCP, Alibaba Cloud, and on-prem RHEL - sustaining 99.99% availability for mission-critical tenant workloads on Hyperforce. • Architected an AI-Ops agentic framework (K8sGPT + custom agents) that cut incident MTTR by 70%- agents auto-triage cluster issues, enrich PagerDuty alerts with remediation steps, and produce weekly SRE reports. • Shipped custom Kubernetes Operators (Go, Operator SDK) for self-healing StatefulSets, cert rotation, and node remediation - cut manual intervention ~ 40%. • Re-architected CI/CD across Terraform, Spinnaker, and ArgoCD - deployment cycles down 30%, policy-as-code enforced at merge. • Built Customer Engagement Framework (CEF) routing tenant-specific alerts via Argus queries - reduced ops-team alert noise by 30%. • Improved MTTD 40% by rolling out Grafana dashboards + Splunk integration fleet-wide. • Integrated AI-coding stack (Claude Code, Cursor, Windsurf + MCP servers) into daily platform work - 30-50% faster iteration on Terraform modules, Operators, and runbooks. • Owned IPVS kernel-module builds, 3PP image remediation, and RHEL 9.6/9.7 patching across compliance-scoped repos.

Education

• Netaji Subhas Institute of Technology

  Bachelor of Engineering (BE), Computer Engineering

  2016 — 2020

• LBS School

  High School

  2007 — 2015