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Jitul Kumar

@jitulkumar

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DevOps Engineer with 3+ years managing AWS production systems using Terraform, Kubernetes (EKS), and CI/CD automation.

India

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What I'm looking for

Seeking DevOps or Site Reliability Engineering roles focused on AWS infrastructure, Kubernetes operations, and CI/CD automation. Interested in building and operating scalable, production-grade cloud systems with strong observability, release safety, and reliability discipline.

DevOps Engineer with 3+ years of experience operating AWS-based production SaaS platforms serving 2M+ users. Specialized in Terraform-driven infrastructure, EKS cluster operations, and CI/CD automation to deliver scalable, cost-efficient, and resilient systems.

Reduced AWS infrastructure costs by 70%, shortened release cycles from 4 hours to 30 minutes, and improved MTTR by implementing SLI/SLO-driven observability and release safety practices. Experienced in managing Kubernetes workloads under peak traffic, securing environments using IAM and RBAC, and maintaining 99.5%+ uptime across multi-region deployments.

Strong focus on production reliability, automation-first infrastructure, and operational discipline in cloud-native environments.

Experience

Work history, roles, and key accomplishments

Current

DevOps Engineer

Current

upwork

Aug 2025 - Present (7 months)

Architected modular Terraform infrastructure (VPC, EKS, RDS, IAM) enabling repeatable multi-environment deployments and reducing provisioning effort by 80%. Built end-to-end Jenkins pipelines cutting release cycles from 4h to 30min. Managed EKS workloads with Helm, improved observability using Prometheus/Grafana, and reduced AWS costs by 30% through Spot optimization and resource tuning.

AWS Kubernetes Terraform Jenkins CI CD Linux Grafana Bash Scripting Python 3 New Relic

DevOps Engineer

Vantage Circle

Aug 2022 - Jul 2025 (2 years 11 months)

Managed AWS infrastructure for a multi-tenant HRMS SaaS platform serving 2M+ users. Provisioned and operated scalable EKS clusters with Terraform and Helm under peak payroll traffic. Secured CI/CD pipelines using IAM and RBAC, reduced release cycles from 4h to 30min, improved API p95 from 10s to <1s, and maintained 99.5%+ uptime across multi-region production systems.