Rahul Madaan — DevOps Engineer
I engineer cloud platforms that help teams ship faster, cheaper, and safer. Currently, I serve as a Lead DevOps & Platform Engineer for a massive Recruitment & Resume Builder platform. I own the architecture for 1,000+ domains and multiple high-traffic job sites, maintaining 99.99% availability over the last 12 months while orchestrating complex AI workloads. My focus is shifting from "managing servers" to "engineering outcomes." IMPACT & METRICS (DORA & FINOPS): 🚀 Scale & Performance — Global edge routing via Cloudflare/Akamai handling massive concurrent traffic. — Maintain 99.99% availability with low-latency global performance. ⚡ Reliability & Speed (DORA Focus) — MTTR (Mean Time to Recovery): Drastically reduced recovery time through automated rollback capabilities and self-healing infrastructure. — Deployment Frequency: Increased from weekly releases to on-demand daily deployments. — Lead Time for Changes: Significantly reduced cycle time by removing manual approval gates. — Change Failure Rate: Stabilized below industry average via automated canary analysis. 📉 Cost Efficiency — Achieved double-digit percentage reduction in monthly cloud spend by implementing Spot Instances, rightsizing resources, and enforcing Terraform policy-as-code. 🛠 Internal Developer Platform (IDP) — Designed a "in-house onboarding tool" for developers that cut service onboarding time from days to hours, achieving high adoption across engineering teams. 🤖 AI Workloads — Built GPU-aware CI/CD pipelines for model serving. Accelerated AI feature rollouts by removing infrastructure bottlenecks. 🛡️ Security & Observability — Implemented Istio Service Mesh for zero-trust security (mTLS) and granular traffic splitting without adding significant latency. TECHNICAL STACK: • Cloud: Azure, AWS, Cloudflare, Akamai • Infrastructure: Terraform, Docker, Kubernetes, Istio • GitOps & CI/CD: Azure DevOps, ArgoCD, Jenkins, Github Actions • Observability: Elastic Stack (ELK), Prometheus, Grafana, New Relic, SEQ Open to connecting with Engineering Leaders and SREs. If you are building on Azure or scaling an IDP, I’m happy to compare notes — DM me.
Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in DevOps for high-traffic SaaS platforms.
Location: New Delhi, Delhi, India
Experience: 8 yrs 3 mos
Skills
- Cloud Infrastructure
- Devops
- Data Engineering
- Software Development
Career Highlights
- Engineered cloud platforms for 1,000+ domains.
- Maintained 99.99% availability over the last year.
- Designed an Internal Developer Platform reducing onboarding time.
Work Experience
BOLD
Module Lead - DevOps (1 yr 3 mos)
Thoughtworks
Senior Infrastructure Consultant (1 yr 5 mos)
Infrastructure Consultant (11 mos)
Infrastructure Consultant (1 yr 3 mos)
Application Developer (1 yr 4 mos)
STEP Intern (1 yr 8 mos)
Tradecore Technology Pvt Ltd
Quality Analyst (5 mos)
Education
Bachelor of Computer Application at Alagappa University
Diploma in Computer science at Guru Nanak Dev Institute of Technology