Lead Engineer – IT

Jobtailor; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Jobtailor in India (Gurugram area) seeks an experienced DevOps/Cloud Engineer to design, implement, and optimize end-to-end CI/CD pipelines using Jenkins and GitHub, and to manage Infrastructure as Code with Terraform. You will build containerized platforms on Kubernetes (EKS) for high availability and scalability, and enable GitOps with ArgoCD.

You will also develop Jenkins pipelines with Groovy, automate in Python, and architect secure AWS serverless solutions including AWS Bedrock AI

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.
• 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 with AI/ML integrations, preferably using AWS Bedrock.
• Strong understanding of Cloud networking, security IAM, secrets management, and compliance best practices.
• Monitoring, logging, and observability tools.

Responsibilities

• Design, implement, and optimize end-to-end CI/CD pipelines.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Build and manage containerized platforms using Kubernetes (EKS).
• Implement GitOps practices using ArgoCD for automated delivery.
• Develop and maintain Jenkins pipelines and shared libraries using Groovy.
• Perform automation with Python and other scripting languages.
• Design and implement secure, scalable AWS architectures (serverless incl. AWS Bedrock).
• Build and integrate AI-powered solutions using AWS Bedrock (e.g., RAG, data integration).
• Develop and maintain serverless applications using AWS Lambda.
• Monitor system performance, reliability, and cost efficiency; drive improvements.
• Collaborate with development, security, and platform teams to drive DevOps best practices.
• Troubleshoot complex system issues and lead root cause analysis.

Skills

CI/CD pipelines

Kubernetes (EKS)

AWS Cloud Services

Python Scripting

Groovy Scripting

GitOps

ArgoCD

Terraform

AI/ML Integrations

Cloud Networking

Security IAM

Monitoring Tools

Tools

Jenkins

GitHub

Terraform

ArgoCD

Job description

• 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

Requirements

• 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

Core Competencies

Demonstrates expertise in designing and optimizing CI/CD pipelines, implementing Infrastructure as Code with Terraform, and managing containerized platforms using Kubernetes. Proficient in AWS architecture, serverless applications, and AI/ML integrations, with a strong focus on security and compliance best practices.

Highest-signal resume keywords

• CI/CD Tools (Jenkins, GitHub)


• Infrastructure as Code (Terraform)


• Kubernetes (EKS)


• AWS Cloud Services


• Python Scripting

ATS Optimization Keywords

Hard Skills

• CI/CD Tools


• Infrastructure as Code


• Kubernetes


• AWS Lambda


• Python Scripting


• Groovy Scripting


• AI/ML Integrations


• Cloud Networking


• Security IAM


• Monitoring Tools

Industry Keywords

• DevOps


• Cloud Engineering


• GitOps


• Serverless Architectures


• Compliance Best Practices

Tools & Technologies

• Jenkins


• GitHub


• Terraform


• ArgoCD


• AWS Bedrock


• AWS Lambda


• Containerization


• Scripting Languages