shaariq u
Open to work4 years experienceDevOps Engineer
DevOps Engineer | Cloud Infrastructure | Kubernetes | CI/CD Automation
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Skills & Technologies
24 skillsGitHub Activity Evidence
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Work Experience
DevOps Engineer
Adobe – TGBPL
- Architected and operated multi-region, production-grade Kubernetes clusters (EKS/AKS) with advanced ingress routing, ensuring 99.99% uptime and geo-distributed high availability for enterprise clients.
- Built and maintained separate Dev, UAT, SIT, and Prod environments across multiple concurrent projects, enabling reliable multi-stage software delivery at scale.
- Designed and deployed complex NGINX ingress networking on EKS enabling subdomain-based routing, improving multi-tenant application isolation and access control.
- Deployed containerized applications using Docker and Helm charts to EKS/AKS clusters managed via ArgoCD GitOps workflows—achieving zero-downtime releases using blue-green and rolling update strategies.
- Built automated rollback and recovery mechanisms in Jenkins and Azure DevOps CI/CD pipelines, reducing deployment failures and maintaining 99.99% service uptime SLA.
- Implemented full observability stack (Prometheus + Grafana) for real-time system health monitoring, reducing MTTR by 40% across production incidents.
- Created advanced CI/CD pipelines integrating automated security scans (Trivy, SonarQube) and enforced DevSecOps compliance at every pipeline stage.
- Provisioned cloud infrastructure via Terraform (IaC) across AWS (EKS, EC2, S3, SQS, Secrets Manager, CloudFront, IAM) and Azure (AKS, VNet, Storage Accounts, VMs), improving cross-environment reproducibility.
Junior DevOps Engineer
Tinysteps
- Owned CI/CD delivery for enterprise applications using Azure DevOps, Jenkins, and Maven—reducing manual deployment effort by 80% through pipeline automation.
- Built and maintained secure, scalable AKS/EKS environments with advanced identity (RBAC), networking (VPC peering), and access controls for multiple client projects.
- Automated multi-stage, multi-environment deployment pipelines (Dev → QA → Pre-prod → Prod) integrating canary checks and comprehensive quality gates.
- Automated cloud provisioning using Terraform IaC, ensuring reproducibility and drift prevention across all environments.
- Integrated DevSecOps scanning tools (Trivy, SonarQube, Snyk) into every CI/CD pipeline stage, enforcing security and compliance for all deployments.
- Built custom Prometheus/Grafana dashboards for end-to-end infrastructure monitoring, significantly reducing detection and response time for production incidents.
- Contributed to incident resolution and post-mortems, driving continuous reliability improvements and fostering cross-team collaboration across dev and ops.
Projects
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Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
99.99% Service Uptime
Achieved 99.99% service uptime across multi-region Kubernetes clusters for Adobe enterprise workloads, delivering zero-downtime production deployments.
40% MTTR Reduction
Reduced MTTR by 40% through Prometheus/Grafana observability stack implementation, enabling proactive incident detection and faster resolution.
80% Reduction in Manual Deployment Effort
Cut manual deployment effort by 80% by automating multi-stage CI/CD pipelines using Jenkins, Azure DevOps, and GitLab CI.
About Details
Professional Bio
Results-driven DevOps Engineer with 4+ years of experience designing cloud-native infrastructure, automating CI/CD pipelines, and managing Kubernetes clusters at scale. Proven track record of achieving 99.99% service uptime, zero-downtime deployments, and 40% MTTR reduction.
M.Tech in Cloud Computing
Indian Institute of Technology (IIT) Patna ( - Present)
B.Tech in Electrical Engineering
R.B.S. Engineering & Technical Campus, Agra, India ( - Present)