About
Strategic Engineering Leader with 12+ years of experience architecting cloud-native infrastructure on GCP, AWS, and Azure. Proven track record of scaling engineering organizations (40+ FTEs) and building Internal Developer Platforms (IDP) that reduce service onboarding by 90%. Expert in FinOps, managing high-throughput systems (50k+ RPS, 2M+ MAU) with 99.99% availability, and driving culture shifts toward SRE maturity, operational excellence, and developer velocity.
Work
HAWK MARTECH
|Head of Engineering
Gurugram, Haryana, India
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Summary
Directs engineering strategy for a 40-person organization, bridging Backend, Frontend, QA, and SRE functions to align technical execution with business OKRs.
Highlights
Led a 40-person engineering organization, aligning Backend, Frontend, QA, and SRE technical execution with strategic business OKRs.
Architected high-scale GCP reference architecture, supporting 50K+ requests per second and 2M+ monthly active users with 99.99% uptime through multi-zonal redundancy.
Reduced Mean Time to Resolve (MTTR) for P1 incidents by 40% by implementing rigorous SLIs/SLOs, error budgets, and automated incident response playbooks.
Implemented strict FinOps governance and resource quotas, preventing budget overruns and aligning cloud spend with unit economics.
Introduced Request for Comments (RFC) processes for architectural decisions, democratizing system design and improving team retention.
HAWK MARTECH
|DevOps Lead - Platform & SRE
Gurugram, Haryana, India
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Summary
Led platform engineering and SRE initiatives, building an Internal Developer Platform, optimizing infrastructure, modernizing observability, and implementing GitOps workflows.
Highlights
Developed an Internal Developer Platform (IDP) with Terraform and reusable GitHub Actions, reducing microservice onboarding time from 2 days to under 4 hours.
Optimized GKE autoscaling and Spot Instance usage, cutting monthly GCP costs by 25% (~$12,500) without impacting performance during live events.
Centralized observability by migrating legacy monitoring to Prometheus/Grafana and ELK, improving Mean Time to Detect (MTTD) by 50%.
Designed GitOps workflows that increased deployment frequency by 200% and reduced change failure rates using Blue/Green and Canary deployments.
CLEVERTAP
|Senior DevOps Engineer
Mumbai, Maharashtra, India
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Summary
Managed mission-critical AWS infrastructure for Tier-1 clients, modernized legacy systems with Infrastructure as Code, and optimized performance for high-throughput data processing.
Highlights
Managed mission-critical AWS infrastructure for Tier-1 clients (e.g., Dream11, Paytm), supporting multi-terabyte daily data ingestion pipelines.
Modernized legacy infrastructure with CloudFormation, achieving 100% Infrastructure as Code (IaC) coverage and eliminating manual configuration drift.
Tuned JVM and container resource limits for high-throughput data processing services, optimizing throughput and reducing latency for real-time analytics.
Integrated PagerDuty with CloudWatch and New Relic to streamline incident escalation and ensure 24/7 coverage for analytics workloads.
FIFTHNOTE
|DevOps Lead
Mohali, Punjab, India
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Summary
Led digital transformation for enterprise healthcare applications, migrating .NET workloads to Azure Kubernetes Service (AKS), and architecting secure CI/CD pipelines.
Highlights
Led digital transformation by migrating legacy .NET healthcare applications to Azure Kubernetes Service (AKS).
Architected secure CI/CD pipelines on Azure DevOps, embedding SonarQube quality gates and container vulnerability scanning for Shift-Left Security.
Automated Azure Virtual Desktop (AVD) provisioning via PowerShell/ARM, reducing developer environment setup time by 70%.
FIFTHNOTE
|Technical Lead
Mohali, Punjab, India
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Summary
Led a 10-member team in refactoring a monolithic .NET application into Dockerized microservices and collaborated on reliability engineering for K8s deployments.
Highlights
Led a 10-member team in decomposing a monolithic .NET application into Dockerized microservices, significantly improving system resilience.
Collaborated with SRE teams to define readiness/liveness probes and graceful shutdown procedures for Kubernetes deployments.
MAVERICK ESERVICES PVT. LTD.
|Software Engineer
Mohali, Punjab, India
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Summary
Led end-to-end development of "CareBuddy" and scaled Node.js real-time infrastructure for high-load handling.
Highlights
Led end-to-end development of "CareBuddy" (Ionic/MeteorJS) and established the company's first CI/CD pipelines.
Scaled Node.js real-time infrastructure and optimized Nginx configurations to handle high-load traffic.
MASTER INTECH SOLUTIONS
|CMS/PHP Developer
Mohali, Punjab, India
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Summary
Performed full-stack LAMP development and server management for responsive web applications.
Highlights
Developed and managed full-stack LAMP applications, ensuring responsiveness and optimal server performance.
Education
Lovely Professional University
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M. Tech
Computer Science Engineering
Courses
Thesis: Security Analysis of CONFIDANT Protocol in Mobile Ad Hoc Networks
Lovely Professional University
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B. Tech
Computer Science Engineering
Skills
Cloud Architecture
GCP (GKE, Cloud Run, Pub/Sub, IAM), AWS (EKS, EC2, Lambda), Azure (AKS), Hybrid/Multi-Cloud Strategy, High-Scale Architecture, Multi-zonal Redundancy, Failover Strategies.
Orchestration & DevOps
Kubernetes (K8s), Helm, Docker, Terraform (IaC), CloudFormation, GitOps, CI/CD Transformation (GitHub Actions, Jenkins), Blue/Green Deployments, Canary Deployments, DevSecOps, Azure DevOps, SonarQube, Container Vulnerability Scanning, PowerShell, ARM.
SRE & Observability
Prometheus, Grafana, ELK Stack, PagerDuty, Incident Management, SLIs/SLOs, Error Budgets, Mean Time to Resolve (MTTR), Mean Time to Detect (MTTD), CloudWatch, New Relic.
Engineering Leadership
FinOps (Cloud Cost Optimization), Technical Strategy, Team Building, DevSecOps, Architectural Governance, Organizational Leadership, Process Improvement, RFC (Request for Comments), Team Retention, Stakeholder Management.
Software Development
Node.js, Nginx, Ionic, MeteorJS, LAMP Stack, PHP, .NET, Microservices, System Resilience.
Data & Performance
High-throughput Systems, JVM Tuning, Container Resource Limits, Real-time Analytics, Data Ingestion Pipelines.