About The Role

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