Pooja Varandani
Open to work5 years experienceDevOps Engineer
DevOps Engineer | AWS Cloud Infrastructure | Kubernetes & GitOps Automation | SRE Practices
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Skills & Technologies
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Work Experience
DevOps Engineer
Tata Consultancy Services (TCS)
- Architect and automate end-to-end cloud infrastructure and CI/CD delivery pipelines across 6 concurrent enterprise client engagements on AWS.
- Engineer GitOps-based continuous deployment pipelines using Argo CD, reducing manual deployment effort by 60% and improving release consistency across Dev, QA, and Production environments.
- Automate infrastructure provisioning for 10+ environments using Terraform, Pulumi, and AWS CloudFormation — cutting environment setup time from 3 days to under 2 hours and reducing infrastructure operating costs.
- Design and maintain Kubernetes-based container orchestration for microservices — including HPA/VPA autoscaling, Custom Resource Definitions (CRDs), and Operators — scaling deployments to support 3x traffic growth with zero downtime during peak releases.
- Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI alongside Maven, reducing average deployment cycle time by 40% and decreasing release-related errors by 35%.
- Implement centralized observability (Grafana + Splunk), reducing mean time to detect (MTTD) incidents by 50% and enabling proactive alerting across 5+ production environments.
- Integrate SonarQube into CI/CD pipelines for automated code quality and security gates — blocking 100% of non-compliant code from reaching production and improving code health scores by 30%.
- Develop reusable Linux shell scripts and IaC templates, eliminating 80% of repetitive manual operations and standardizing deployment workflows across 4 cross-functional teams.
- Lead root cause analysis (RCA) for production incidents and implement preventive fixes, reducing recurring P1 incidents by 45% over 12 months.
Projects
SpecBook — GitOps & Full-Lifecycle Automation
- Architected end-to-end Dev-to-Prod environments using Rio pipelines and Argo CD, reducing manual deployment effort by 70% and achieving release consistency across 3 environments.
- Built real-time Grafana dashboards monitoring 15+ Kubernetes cluster metrics, reducing alert response time by 40% and enabling proactive incident resolution before user impact.
- Integrated Splunk for centralized logging and intelligent alerting, improving log correlation speed by 55% and reducing MTTR from 90 to 40 minutes.
- Enforced code quality and security compliance via SonarQube, standardizing DevOps practices across the engineering organization.
Citadel Factory — Apple | Malware Detection Platform
- Designed and maintained secure CI/CD infrastructure for Apple’s malware-detection platform, processing 50,000+ daily file scans with 99.98% pipeline availability.
- Automated secure file ingestion and antivirus scanning workflows using AWS S3, SQS, EC2 Auto Scaling, and MWAA (Airflow) — reducing manual intervention by 90% and cutting scan processing time by 35%.
- Implemented Apple Whisper Service for secrets management across backend and Airflow environments, achieving zero credential-exposure incidents throughout the engagement.
- Engineered load balancing, secure DNS routing, and IAM configurations supporting a scalable multi-service deployment serving millions of daily Apple device transactions.
Symbotic LLC — Kubernetes & Infrastructure Operations
- Standardized Linux and Windows production VM deployments using Ansible playbooks, reducing provisioning time by 65% and eliminating configuration drift incidents.
- Troubleshot and resolved 20+ Kubernetes pod failures across production clusters, preventing an estimated 15 hours/month of unplanned downtime.
Bank Yahav — Banking DevOps Automation
- Automated deployment pipelines using Jenkins for banking-grade environments, reducing release cycle time by 30% while maintaining full audit-trail compliance.
- Implemented Prometheus-based application and server health monitoring, improving visibility into transaction-processing systems across UAT and Production.
Sanofi — Regulated Pharma CI/CD
- Executed Jenkins CI/CD pipelines in a regulated pharma environment, maintaining 100% SOP compliance and zero audit findings across 14 months.
- Automated build monitoring, Linux server log analysis, and compliance documentation — reducing manual reporting effort by 50% and accelerating release-approval cycles.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Deployment Efficiency
Reduced deployment cycle time by 40% and manual deployment effort by 60% by engineering GitOps and CI/CD automation with Argo CD and Jenkins.
Kubernetes Optimization
Implemented advanced Kubernetes operations — HPA/VPA autoscaling, Custom Resource Definitions (CRDs), and Operators — to optimize resource utilization and support 3x traffic growth with zero downtime.
Infrastructure Provisioning
Cut infrastructure provisioning time from 3 days to under 2 hours across 10+ environments using Terraform, Pulumi, and CloudFormation.
Production Uptime and Observability
Sustained 99.9%+ production uptime and reduced mean time to detect (MTTD) incidents by 50% through centralized observability.
Secure CI/CD Infrastructure
Delivered secure CI/CD infrastructure for Apple’s malware-detection platform, processing 50,000+ daily file scans at 99.98% pipeline availability.
About Details
Professional Bio
DevOps Engineer with 5+ years of experience designing, automating, and scaling secure, highly available cloud infrastructure on AWS. Expert in Kubernetes, GitOps, IaC, and CI/CD pipeline engineering. Proven record of reducing deployment cycle time and sustaining 99.9%+ production uptime.
M.Tech
Dayalbagh Educational Institute ( - Present)
PG Diploma, Computer Science & Applications
Dayalbagh Educational Institute ( - Present)
B.Tech, Computer Application & Technology
Dr. A.P.J. Abdul Kalam Technical University ( - Present)