Built for Scale

Ready for Production

DevOps Engineer specializing in AWS, Azure, Kubernetes, CI/CD, and cloud-native infrastructure — building reliable, scalable systems that teams can confidently run in production.

From the blog

Portrait of Harshit Sahu

Building Reliable Cloud Infrastructure with AWS, Kubernetes & Automation

I'm a DevOps Engineer specializing in cloud infrastructure, Kubernetes, CI/CD, and Infrastructure as Code. I focus on building scalable and reliable environments, automating delivery workflows, and improving the observability and operational reliability of production systems.

My experience includes running production workloads on Amazon EKS, implementing CI/CD with Jenkins, GitHub Actions, and Argo CD, and managing infrastructure through Terraform. I also work with AWS and Azure services, containerized workloads, monitoring and observability, and Python-based automation to streamline day-to-day operations.

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Years in DevOps

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Professional Roles

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Technical Articles

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Certifications

A DevOps toolkit built for production, not demos

Nine areas of the stack I work in daily — from the cloud account down to the container, and every pipe that connects them.

Cloud Platforms

AWS Core Services

Containers & Kubernetes

CI/CD & GitOps

Infrastructure as Code

Observability & Monitoring

Security & Identity

Scripting & Automation

Databases & Data Stores

Professional experience in cloud & DevOps engineering

Four roles, one throughline: taking infrastructure from fragile to boring.

06/2025 — Present

DevOps Engineer

Webknot Technologies, Bangalore

  • Owned end-to-end deployment, operations, troubleshooting, and automation of cloud-native applications across AWS and Kubernetes environments.
  • Designed and replicated Kubernetes infrastructure for production workloads, including Keycloak, Weaviate, MongoDB, Redis, PostgreSQL, and application services.
  • Built and maintained CI/CD pipelines with Jenkins and GitHub Actions for Docker builds, Amazon ECR publishing, Kubernetes deployments, and rollout validation.
  • Implemented observability using Prometheus, Grafana, Loki, Promtail, Node Exporter, and cAdvisor for metrics, logs, dashboards, and production troubleshooting.
  • Automated infrastructure and operational tasks with Terraform, Python, and Shell across AWS IAM, EFS, S3, RDS, VPC, and Secrets Manager.
  • Supported secure cloud operations using IAM/OIDC, Kubernetes Secrets, AWS Secrets Manager, container scanning, and least-privilege access patterns.
11/2024 — 05/2025

DevOps Intern

Webknot Technologies, Bangalore

  • Automated deployment workflows across AWS and Akamai Cloud using CI/CD tooling and containerized workloads.
  • Integrated AWS Secrets with Kubernetes workloads to improve secret handling and reduce manual configuration.
  • Troubleshot application and infrastructure incidents, documented resolutions, and supported high-availability deployments.
10/2024 — 11/2024

Technical Content Writer

Univo Education

  • Authored 50+ technical articles and guides focused on clear, practical technology communication.
08/2024 — 10/2024

DevOps Intern

Pearl Thoughts

  • Automated deployments using Jenkins, Docker, Terraform, and GitHub Actions, cutting release cycle time by 50%.
  • Automated deployment of a Medusa e-commerce application on AWS using Terraform and GitHub Actions, with Docker delivery and Fargate Spot optimization.

Cloud infrastructure & Kubernetes projects

Platforms I've built and kept running, not just spun up once.

DevOps lifecycle

Greenlight — CareerConnect

End-to-end DevOps across containerization, CI/CD, Kubernetes, and observability. Ran Amazon EKS workloads with dedicated node groups, ingress, secrets, storage, autoscaling, and service-to-service connectivity.

  • Full CI/CD on Jenkins covering build, scan, deploy, and rollout validation on EKS
  • HPA + dedicated node groups improved capacity handling under peak interview traffic
  • Grafana + Loki stack gave one pane for metrics and logs across services
FinTech / E-invoicing

Taxlabs

Automated backend deployment pipelines with Jenkins; shipped frontend releases through static hosting and CDN. Added Azure Monitor and Grafana monitoring plus log backup and alerting.

  • Jenkins pipelines cut manual backend release steps and made deploys repeatable
  • Frontend delivery via static hosting + CDN improved global asset load times
  • Azure Monitor + Grafana alerting caught failures before customers reported them

Certifications

  • Certified Kubernetes EngineerWebknot Technologies · 2025
  • Kubernetes FundamentalsDataDog · 2024
  • Terraform BasicsKodeKloud · 2024
  • Confluent Fundamentals Accreditation2024

Education

  • B.Sc. (Hons.) Computer ScienceRamanujan College, University of Delhi · 7.9 CGPA · 07/2024

Hire a DevOps engineer for your cloud team

Open to DevOps Engineer, SRE, Cloud Engineer, and Cloud Architect roles — full-time, contract, or freelance. For project-based or consulting work, reach out below and I’ll get back quickly.

Open to work

Full-time · contract · freelance

Target roles
DevOps Engineer · SRE · Cloud Engineer · Cloud Architect
Location
Kanpur, Uttar Pradesh · IST (UTC+5:30)
Work mode
Remote / Hybrid · open to relocation
Engagement
Full-time or contract / freelance — contact me