DevOps Engineer

Insight Global; India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

Insight Global is seeking a DevOps/Infrastructure Engineer to own cloud infrastructure, automation, and deployment processes across multiple projects. This role requires a highly autonomous engineer who can plan and deliver complex initiatives while collaborating with product and business stakeholders.

The position is fully remote in India with overlap to UK hours, and involves driving architecture decisions, engineering best practices, and AI-enabled product support where needed.

Qualifications

• Strong experience designing, deploying, and managing cloud infrastructure across AWS, Azure, or GCP.

Responsibilities

• Architect and manage cloud-based infrastructure environments.

Skills

Cloud architecture

IaC

CI/CD pipelines

Docker & Kubernetes

AI production deployment

API integration

Stakeholder management

Remote collaboration

Tools

AWS

Azure

GCP

Terraform

Docker

Kubernetes

LangGraph

Claude Code

LLMs

APIs

Job description

Insight Global are seeking a DevOps / Infrastructure Engineer for a leading global consulting and technology organisation.

This position requires fully remote working in India, for a contract through end of year. Candidates must be able to provide overlap with UK working hours.

The successful candidate will take ownership of cloud infrastructure, automation, and deployment processes while helping drive architecture decisions and engineering best practices across multiple projects. This role requires a highly autonomous engineer who can independently scope, plan, and deliver complex technical initiatives while working closely with product and business stakeholders.

Must-Have Requirements Include:

• Strong experience designing, deploying, and managing cloud infrastructure across AWS, Azure, or GCP
• Expertise in Infrastructure as Code using Terraform
• Experience building and maintaining CI/CD pipelines and automated deployment workflows
• Strong containerisation experience using Docker and Kubernetes
• Ability to manage scalable, secure, and resilient infrastructure environments
• Experience leading technical architecture decisions and establishing engineering best practices
• Proven ability to independently plan and deliver complex technical projects
• Experience designing, developing, and deploying AI solutions into production environments
• Experience building and integrating APIs and services that expose AI capabilities
• Familiarity with Large Language Models (LLMs), machine learning workflows, and data pipelines
• Experience developing agent-based systems using LangGraph or similar frameworks
• Familiarity with Claude Code and skill-based agentic systems
• Strong stakeholder management skills with the ability to translate business requirements into technical solutions
• Excellent communication skills and ability to work effectively in remote, cross-functional teams

Plusses Include:

• Backend development with Python, Node.js, or similar technologies
• Frontend development experience with React, Next.js, or similar frameworks
• Experience integrating frontend, backend, AI, and data platform components into end-to-end solutions

Key Responsibilities:

• Architect and manage cloud-based infrastructure environments
• Automate infrastructure provisioning and deployment processes
• Build and optimise CI/CD pipelines
• Manage containerised workloads and platform scalability
• Lead technical decision-making and infrastructure best practices
• Collaborate with business and product stakeholders to define and deliver technical solutions
• Support the development and deployment of AI-enabled products and services where required
• Drive operational excellence, reliability, security, and performance across the platform