Lead DevOps Engineer

techjays; Coimbatore District; On-site; INR 4,200,000 - 7,000,000; Full time

Benefits offered by this job

Medical insurance

Paid holidays

Flexible time off

Job summary

Techjays in Coimbatore is seeking a hands-on Cloud DevOps lead to architect and run secure, scalable cloud platforms for global clients.

You will own the DevOps strategy, build CI/CD pipelines, manage Kubernetes environments, and apply Terraform IaC while optimizing performance and costs. This role requires strong AWS or Azure expertise, automation skills, and the ability to mentor engineers across teams.

Qualifications

• Deep hands-on expertise in either AWS or Azure required.
• Strong DevOps foundation with CI/CD, cloud infrastructure, and production operations.
• Experience supporting AI/ML, GenAI, LLM or AI-enabled applications.
• Ability to design, implement and improve scalable, secure cloud systems.

Responsibilities

• Lead the design, implementation and operation of scalable, secure and highly available cloud infrastructure.
• Own DevOps strategy and technical direction across cloud infrastructure, CI/CD, automation and production operations.
• Build and maintain CI/CD pipelines for application and AI-enabled workloads across development, staging and production.
• Design and manage Kubernetes environments using AKS, EKS, Docker and Helm.
• Implement Infrastructure as Code using Terraform and relevant cloud-native tools.
• Establish deployment standards, reusable pipeline templates and automated release processes.
• Implement monitoring, logging, alerting and operational practices to maintain reliability and performance.
• Work closely with engineering and AI teams to provide the infrastructure required to deploy and operate AI-enabled applications.

Skills

Cloud Technologies

AWS / Azure

CI/CD

Kubernetes

Terraform

Automation

Python scripting

AI/ML infra

Tools

Docker

Kubernetes

Helm

Terraform

Azure DevOps

GitHub Actions

Job description

At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core.

We're part of the small percentage of companies globally building secure, production-grade AI systems

that drive measurable business outcomes. Our team brings together engineers and leaders who have

built and scaled products at organizations like Google, NetApp, ADP, Cognizant Consulting, and

Capgemini.

Key Skills

Cloud Technologies (Expert): Strong hands-on expertise in either AWS or Azure. Deep practical

experience designing, deploying and operating production cloud environments.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch and related infrastructure services.

related infrastructure services.

CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab CI or equivalent, including multi-stage pipelines,

approvals, artifact management and deployment automation.

Containers & Kubernetes: Docker, Kubernetes, AKS or EKS, Helm, scaling, networking, secrets and

Infrastructure as Code: Strong Terraform experience preferred. Exposure to CloudFormation, Bicep,

ARM or similar IaC tools is valuable.

Automation & Scripting: Strong Python, Bash and/or PowerShell skills for infrastructure automation,

deployment and operational tooling.

alerting, incident management and performance optimization.

AI Exposure: Prior experience supporting AI/ML applications, GenAI platforms, AI services, LLM

applications or AI-enabled products. This is an exposure requirement, not an MLOps-specialist role.

Lead the design, implementation and operation of scalable, secure and highly available cloud infrastructure.

Own DevOps strategy and technical direction across cloud infrastructure, CI/CD, automation and production operations.

Build and maintain CI/CD pipelines for application and AI-enabled workloads across development,

staging and production.

Design and manage Kubernetes environments using AKS, EKS, Docker and Helm.

Implement Infrastructure as Code using Terraform and relevant cloud-native tools.

Establish deployment standards, reusable pipeline templates and automated release processes.

Implement monitoring, logging, alerting and operational practices to maintain reliability and

performance.

Work closely with engineering and AI teams to provide the infrastructure required to deploy and

operate AI-enabled applications.

Support cloud environments used by AI/ML applications, including compute, networking, containers,

storage, security and observability.

Drive cloud security practices covering IAM/RBAC, secrets, networking, access controls and

infrastructure governance.

Troubleshoot complex production issues, lead RCA and implement permanent fixes through

automation and engineering improvements.

Optimize infrastructure performance and cloud costs while maintaining reliability and scalability.

Evaluate and introduce DevOps tools and practices that improve engineering productivity and

Mentor DevOps engineers and provide technical leadership across projects and teams.

What We’re Looking For Beyond Skills

Cloud specialist: Deep hands-on expertise in either AWS or Azure. You do not need to be an expert in

both.

Strong DevOps foundation: Proven experience owning CI/CD, cloud infrastructure, containers,

automation and production operations.

AI exposure: You have worked with or supported AI/ML, GenAI, LLM or AI-enabled applications and

understand their infrastructure needs.

Builder mindset: You can design, implement and improve systems rather than only manage existing

Ownership: You take responsibility for reliability, delivery, security and operational excellence.

Leadership: You can mentor engineers, drive technical decisions and work effectively with

engineering and product teams.

Location & availability: Willing to work onsite from the Coimbatore office and available to join

immediately / at short notice.

Good to Have

Experience supporting AI/ML, Generative AI, LLM or AI-agent based applications in production.

Experience with GitOps and Argo CD.

Experience with cloud security, governance, networking and enterprise landing zones.

Experience with blue/green, canary and automated rollback strategies.

Experience with Python-based automation or AI integrations.

Experience with FinOps and optimization of cloud infrastructure costs.

Relevant AWS, Azure or Kubernetes certifications.

What We Offer

Coimbatore office-based role with a strong engineering environment

Opportunity to lead production-grade cloud and AI-enabled platforms for global clients

Exposure to modern AWS/Azure, Kubernetes, DevOps and AI engineering practices

Paid holidays & flexible time off

Medical insurance (Self & Family, up to ₹4 Lakhs per person)

A culture that values clarity, integrity and continuous growth