DevOps & Cloud Engineering - AI Enabled Consultant - HRG Group

OpenTalent; Maharashtra; On-site; INR 1,378,000 - 3,444,000; Part time

Job summary

OpenTalent seeks a hands‑on DevOps & Cloud Engineer for flexible, freelance engagement in Pune. You will automate software delivery, manage cloud infrastructure, and improve reliability across AWS/Azure/GCP with a focus on secure, scalable cloud‑native environments.

The role requires strong CI/CD, IaC, containers, Kubernetes, monitoring, DevSecOps, and practical AI/GenAI tooling to boost automation and developer productivity.

Qualifications

• 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.
• Strong 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.

Responsibilities

• 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 deployment reliability, speed and repeatability.

Skills

DevOps experience

Cloud expertise (AWS/Azure/GCP)

CI/CD pipelines

Terraform

Docker

Kubernetes

Git workflows

Linux

Scripting (Python/Bash)

Networking basics

DevSecOps

AI tooling for DevOps

Tools

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

Argo CD

Prometheus

Grafana

OpenTelemetry

Datadog

Helm

Job description

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 strong 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
• Strong 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

Good 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 deployment reliability, speed and repeatability.

Multi-Cloud Engineering

• Work hands‑on with AWS, Azure and/or GCP cloud environments.
• Provision and manage cloud infrastructure including compute, networking, storage, IAM and managed services.
• Understand equivalent services across cloud platforms and recommend appropriate solutions based on workload requirements.
• Support cloud migration, modernization and cost optimization initiatives.

Important: one cloud experience is mandatory + working exposure to other cloud rather than deep expertise in all three.

Infrastructure as Code & Automation