Key skills
AWSCloudGroovyJenkinsKubernetesPythonTerraformAIMLRAGServerlessEKSArgoCDLambdaIAMBedrockGitHubGitOpsCI/CD
About this role
Role Overview
- 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
- AWS Certified Solutions Architect – Professional (preferred)
- Experience with enterprise-scale CI/CD pipeline standardization and automation (preferred)
- Familiarity with platform engineering and site reliability engineering (SRE) practices (preferred)
- Experience working in large, distributed enterprise environments (preferred)
- Exposure to AI-driven DevOps automation or intelligent remediation (preferred)
Tech Stack
- AWS
- Cloud
- Groovy
- Jenkins
- Kubernetes
- Python
- Terraform
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development