DevOps Lead

About Techjays

Techjays is an AI Reimagination Company, dedicated to helping businesses transform how they build, operate, and scale with AI at their core. We are among a select group of companies globally that develop secure, production-grade AI systems designed to deliver measurable business outcomes. Our team comprises experienced engineers and leaders who have previously contributed to scaling products at prominent organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini.

Position Summary

We are seeking an experienced DevOps Lead to manage and enhance our cloud infrastructure, automation, CI/CD processes, reliability, and engineering practices for modern software and AI-enabled platforms. The ideal candidate will possess deep expertise in either AWS or Azure, coupled with extensive hands-on DevOps experience and practical exposure to AI workloads or AI-driven products.

Location: Coimbatore Work Mode: Onsite Joining: Immediate / ASAP

Responsibilities

• Lead the design, implementation, and operation of scalable, secure, and highly available cloud infrastructure.
• Own the 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 environments.
• 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 ensure reliability and performance.
• Collaborate closely with engineering and AI teams to provide the necessary infrastructure for deploying and operating AI-enabled applications.
• Support cloud environments utilized by AI/ML applications, including compute, networking, containers, storage, security, and observability.
• Drive cloud security practices, encompassing IAM/RBAC, secrets management, networking, access controls, and infrastructure governance.
• Troubleshoot complex production issues, lead Root Cause Analysis (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 enhance engineering productivity and deployment quality.
• Mentor DevOps engineers and provide technical leadership across projects and teams.

Requirements / Qualifications

• Cloud Specialist: Deep hands-on expertise in either AWS or Azure.
• Strong DevOps Foundation: Proven experience owning CI/CD, cloud infrastructure, containers, automation, and production operations.
• AI Exposure: Experience working with or supporting AI/ML, GenAI, LLM, or AI-enabled applications, with an understanding of their infrastructure requirements.
• Builder Mindset: Ability to design, implement, and improve systems, not just manage existing environments.
• Ownership: Takes responsibility for reliability, delivery, security, and operational excellence.
• Leadership: Capable of mentoring engineers, driving technical decisions, and collaborating effectively with engineering and product teams.
• Location & Availability: Willingness to work onsite from the Coimbatore office and availability to join immediately or on short notice.

Key Skills & Technologies

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.
  • Azure: Azure VMs, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

CI/CD:

• Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with multi-stage pipelines, approvals, artifact management, and deployment automation.

Containers & Kubernetes:

• Docker, Kubernetes, AKS or EKS, Helm.
• Experience with scaling, networking, secrets management, and production workload management.

Infrastructure as Code (IaC):

• 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.

Monitoring & Reliability:

• CloudWatch, Azure Monitor, Prometheus, Grafana.
• Experience with centralized logging, 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).

Preferred Skills

• 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 deployment strategies.
• Experience with Python-based automation or AI integrations.
• Experience with FinOps and cloud infrastructure cost optimization.
• Relevant AWS, Azure, or Kubernetes certifications.

What We Offer

• Competitive compensation.
• A Coimbatore office-based role within a strong engineering environment.
• The 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 and flexible time off.
• Medical insurance (Self & Family, up to ₹4 Lakhs per person).
• A culture that values clarity, integrity, and continuous growth.

Hiring Priority: We are seeking a strong DevOps professional specialized in AWS or Azure with prior exposure to AI/ML or AI-enabled applications. MLOps expertise is not required; strong cloud and DevOps fundamentals are the priority.