- Mandatory Skills Description:8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.

Deep, hands-on AWS expertise, including:

EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda

Solid understanding of VPC design, Security Groups, Route Tables, NACLs, and hybrid networking concepts.

Ability to troubleshoot network connectivity issues, ingress/egress rules, and cloud security configurations.

Strong production experience with Terraform, including:

-Designing modular Terraform architectures

-Managing state, environments, and multi-account setups

Strong Linux administration skills

-User and permissions management

-Process and service management

-Package management

-System troubleshooting

Solid understanding of Linux commands and privilege escalation concepts (sudo, sudo su, sudoers).

Hands-on scripting experience:

-Python

-Bash/Shell scripting

Ability to automate operational tasks and troubleshooting workflows.

Experience with container technologies

-Docker

-Kubernetes (EKS preferred)

-Container image lifecycle management and versioning/tagging strategies.





Experience with artifact repositories

-JFrog Artifactory, Nexus or equivalent

Understanding of image tagging, versioning, and promotion strategies.

Proven experience rolling out Enterprise-grade Agentic AI infrastructure on top of existing platforms, including:

-Supporting agent execution within established networking, security, and compliance boundaries

-Enabling scalability, observability, and governance for agent behavior

Hands-on experience supporting agentic SDLC tools and processes:

-AI-assisted coding, testing, and deployment workflows

-Agent-based automation within CI/CD and operational processes

Experience with AWS AI services such as: Amazon Bedrock, SageMaker, Related AI/ML platform services.

Experience with Ansible for configuration management and infrastructure automation.

Solid understanding of Linux, networking, and cloud security fundamentals.

Familiarity with MLOps or AI platform components Model serving, Vector databases, Feature stores

📌 Lead DevOps + MLOps Engineer (Bengaluru)
🏢 Luxoft
📍 Bengaluru