Job Description

Consultant: ATS – DevOps & Cloud Engineering – AI Enabled

Experience - 6–8 years

Location- Pune

Mode- Freelancer

Role Overview

We are looking for a hands-on DevOps / Cloud Engineer responsible for automating software delivery, managing cloud infrastructure, improving application reliability, and implementing secure, scalable cloud-native environments across AWS, Azure and GCP.

The candidate should have solid hands-on expertise in CI/CD, Infrastructure as Code, containers, Kubernetes, cloud services, monitoring and DevSecOps, along with practical experience using AI/GenAI tools to improve DevOps automation, troubleshooting and engineering productivity.

Required Skills

Must Have
6–8 years of hands-on DevOps / Cloud experience
Strong experience in one major cloud – AWS / Azure / GCP
Working knowledge of at least one additional cloud
Solid CI/CD experience
Terraform / Infrastructure as Code
Docker
Kubernetes
Git / Git-based workflows
Linux
Scripting – Python / Bash / PowerShell
Monitoring, logging and troubleshooting




Strong understanding of networking fundamentals
Security fundamentals / DevSecOps

AI – Must Have
Practical experience using AI coding/productivity tools
Understanding of AI-assisted DevOps automation
Ability to use AI for troubleshooting, scripting and documentation while validating outputs

Positive to Have
AWS + Azure + GCP exposure
Helm
Argo CD / GitOps
Prometheus / Grafana / OpenTelemetry
Datadog
Backstage / IDP
Ansible
Vault / secrets management
FinOps / cloud cost optimization
AI agents / Agentic AI
MCP
MLOps / AI workload deployment

Key Responsibilities

DevOps & CI/CD
Design, implement and maintain CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, Jenkins or GitLab CI.
Automate build, test, deployment and release processes.
Implement branching, release and deployment strategies including blue-green, canary and rolling deployments.
Improve deploym

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