Open to opportunities

Kartikeya User

@kartikeyatiw

Cloud/DevOps Engineer using AWS, Terraform, and CI/CD to deliver reliable production systems. Creating AI workflows to streamline the processes

India

Message

What I'm looking for

I’m looking for a role where I can own AWS-based infrastructure and CI/CD, improve monitoring and incident response, automate deployments with Terraform/Docker/Kubernetes, and support reliable production workloads—including ML/data pipelines.

I’m a Cloud/DevOps Engineer with 2 years of experience supporting AWS-based infrastructure, cloud operations, CI/CD pipelines, and production systems in enterprise environments. I’m hands-on with Linux administration, deployment engineering, monitoring, and troubleshooting large-scale cloud workloads.

I’ve managed AWS production infrastructure and cloud-hosted ML/data processing environments, using AWS CloudWatch to monitor logs, metrics, and alerts and respond to incidents. I automate operational and validation tasks with Python and Bash (reducing repetitive effort by 35%) and build CI/CD pipelines with GitHub Actions to cut deployment time by 40%—while also running Kubernetes (EKS) and Kafka (AWS MSK) workloads for scalable, cloud-native applications.

Experience

Work history, roles, and key accomplishments

Current

Cloud/DevOps Engineer

Current

Tata Consultancy Services

Aug 2024 - Present (1 year 10 months)

Managed AWS-based production infrastructure and Linux-hosted cloud applications, including ML/data processing environments. Automated validation and operations with Python/Bash (35% less manual effort), built GitHub Actions CI/CD (40% faster deployments), and reduced average incident resolution time by 25%.

AWS EC2 AWS Cloudwatch Terraform GitHub Actions Python Linux Administration Docker

Operations Specialist

MfilterIT

Apr 2024 - Aug 2024 (4 months)

Provisioned and managed AWS infrastructure with Terraform, and automated operational workflows using Python and Shell scripting. Containerized applications with Docker and supported Kubernetes (EKS) deployments while assisting with CI/CD pipelines.