Lead Engineer

Guardian Life; Chennai District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Guardian Life is seeking a Senior DevOps Engineer to design scalable, secure cloud platforms and automate software delivery across the enterprise. You will lead CI/CD pipelines, IaC using Terraform, and containerization with Kubernetes (EKS), while integrating AI-driven capabilities via AWS Bedrock.

The role requires hands-on expertise with GitOps, Jenkins, Groovy, and Python, and a focus on secure, cost-efficient AWS architectures and serverless solutions. Chennai-based location preferred.

Qualifications

• 8+ years in DevOps, Cloud Engineering, or related roles.
• Hands-on with CI/CD tools (Jenkins/GitHub), Terraform, Kubernetes (EKS), and GitOps (ArgoCD).
• Proficient in Groovy and Python scripting; strong AWS experience, including Lambda and serverless patterns.
• Experience integrating AI/ML capabilities, preferably via AWS Bedrock.

Responsibilities

• Design, implement, and optimize end-to-end CI/CD pipelines using Jenkins and GitHub.
• Develop and maintain Infrastructure as Code (IaC) with Terraform.
• Build and manage containerized platforms using Kubernetes (EKS) for high availability.
• Implement GitOps with ArgoCD and automate delivery pipelines.
• Develop Jenkins pipelines and shared libraries using Groovy; automate with Python.
• Design secure, scalable AWS architectures and serverless apps with Lambda.
• Integrate AI-powered solutions using AWS Bedrock and RAG data pipelines.
• Monitor performance, reliability, and cost; drive improvements with cross-team collaboration.

Skills

CI/CD pipelines

Terraform

Kubernetes (EKS)

GitOps (ArgoCD)

Jenkins

Groovy scripting

Python scripting

AWS cloud architecture

AWS Lambda

AI/Bedrock integration

Tools

Terraform

Kubernetes (EKS)

ArgoCD

Jenkins

Groovy

Python

AWS

Lambda

Job description

Job Description: We are seeking a highly skilled and experienced Senior DevOps Engineer to join our engineering team. This role focuses on building scalable, secure, and automated cloud platforms while enabling efficient and reliable software delivery across the enterprise. You will play a critical role in designing CI/CD pipelines, managing cloud infrastructure, and integrating emerging AI-driven capabilities into modern DevOps platforms.

Key Responsibilities

• Design, implement, and optimize end-to-end CI/CD pipelines using tools such as Jenkins and GitHub
• Develop and maintain Infrastructure as Code (IaC) using Terraform
• Build and manage containerized platforms using Kubernetes (EKS) for high availability and scalability
• Implement GitOps practices using ArgoCD to enable automated continuous delivery
• Develop and maintain Jenkins pipelines and shared libraries using Groovy
• Perform automation using Python scripting and other scripting languages
• Design and implement secure, scalable AWS architectures following best practices
• Build and integrate AI-powered solutions using AWS Bedrock, including: Knowledge bases Retrieval-Augmented Generation (RAG) pipelines Data source integrations
• Develop and maintain serverless applications using AWS Lambda
• Monitor system performance, reliability, and cost efficiency, and implement improvements
• Collaborate with development, security, and platform teams to drive DevOps best practices and standards
• Troubleshoot complex system issues and lead root cause analysis

Required Qualifications

• 8+ years of experience in DevOps, Cloud Engineering, or related roles
• Strong hands-on experience with: CI/CD tools (Jenkins, GitHub, or similar) Terraform for infrastructure provisioning Kubernetes (EKS preferred) ArgoCD or GitOps-based deployment models
• Proficiency in: Groovy scripting (Jenkins pipelines and shared libraries) Python scripting
• Extensive experience with AWS cloud services and architecture patterns
• Hands-on experience with AWS Lambda and serverless architectures
• Experience working with AI/ML integrations, preferably using AWS Bedrock
• Strong understanding of: Cloud networking and security IAM, secrets management, and compliance best practices Monitoring, logging, and observability tools

Preferred Qualifications

• AWS Certified Solutions Architect – Professional
• Experience with enterprise-scale CI/CD pipeline standardization and automation
• Familiarity with platform engineering and site reliability engineering (SRE) practices
• Experience working in large, distributed enterprise environments
• Exposure to AI-driven DevOps automation or intelligent remediation

Key Skills

• CI/CD pipeline architecture and optimization
• Infrastructure as Code (Terraform)
• Kubernetes (EKS) and container orchestration
• GitOps (ArgoCD)
• Jenkins (Groovy, shared libraries)
• Python scripting and automation
• AWS cloud architecture and services
• AI/ML integration (Bedrock, RAG, knowledge bases)
• Serverless computing (Lambda)

What We’re Looking For

• A hands-on senior engineer who can both design and implement solutions
• Strong analytical and problem-solving skills with attention to detail
• Ability to operate in a fast-paced enterprise environment with multiple priorities
• Excellent communication and collaboration skills
• Passion for automation, innovation, and continuous improvement

Location

This position can be based in any of the following locations: Chennai

Company Overview

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being — mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com.

Visa Sponsorship

Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future.