Role Description As a Senior DevOps Engineer, you will design, build, automate, and operate the AWS cloud infrastructure powering the organization's AI and Data platforms. You will be responsible for creating scalable, secure, and reliable deployment pipelines, infrastructure automation, observability frameworks, and platform operations supporting AI/ML, Agentic AI, and enterprise applications. Working closely with Software Engineers, AI/ML Engineers, Data Teams, and Security stakeholders, you will help transform development workflows into production-ready automated solutions while ensuring enterprise standards for security, availability, performance, compliance, and cost optimization.
This is a contract role within a distributed Agile workplace.
Key Responsibilities Design, implement, and maintain highly available, secure, and scalable AWS cloud infrastructure.
Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as:
Terraform
AWS CDK
CloudFormation
Build, optimize, and maintain CI/CD pipelines using:
GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps (or similar)
Deploy and manage containerized applications using:
Docker
Amazon ECS
Amazon EKS
Kubernetes
Implement observability solutions using
Amazon CloudWatch
Prometheus
Grafana
ELK / OpenSearch
Automate platform operations and cloud resource lifecycle management.
Improve deployment reliability, release automation, and platform performance.
Implement enterprise security best practices including:
IAM
Role-Based Access Control (RBAC)
Secrets Management
Encryption
Security Monitoring
Support AI/ML platform deployments, APIs, data pipelines, and model-serving infrastructure.
Optimize cloud costs through
Resource monitoring
Capacity planning
Tagging strategy
FinOps practices
Participate in
Incident response
Root cause analysis
Disaster recovery planning
Platform resiliency improvements
Maintain technical documentation and promote DevOps best practices across engineering teams.
Team Overview You will be part of the Data & AI Platform Organization, supporting cloud infrastructure and platform engineering initiatives that enable AI, analytics, and enterprise applications across AWS environments.
Core Technology
Areas AWS Cloud Infrastructure
DevOps & Platform Engineering
CI/CD Automation
Infrastructure as Code (IaC)
Docker & Kubernetes
Platform Observability & Monitoring
Cloud Security & Compliance
AI Platform Deployment & Operations
Site Reliability Engineering (SRE)
Cloud Cost Optimization & Governance Required Experience 6+ years of experience in:
DevOps Engineering
Cloud Engineering
Site Reliability Engineering (SRE)
Infrastructure Engineering
3+ years of hands-on experience designing and managing production workloads on AWS.
Strong scripting skills in
Python
Bash
PowerShell
Experience supporting highly available, distributed production environments.
Strong troubleshooting, incident management, and performance tuning skills.
Excellent communication and collaboration skills.
Ability to work independently in Agile environments.
Required AWS Services Amazon EC2
Amazon VPC
AWS IAM
Amazon S3
AWS Lambda
Amazon ECS
Amazon EKS
Amazon API Gateway
Amazon CloudWatch
Amazon Route 53
Amazon ECR
Amazon RDS Required Technical Skills Infrastructure as Code Terraform
AWS CDK
CloudFormation CI/CD GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps Containers & Orchestration Docker
Kubernetes
Amazon ECS
Amazon EKS Monitoring & Observability Amazon CloudWatch
Prometheus
Grafana
ELK Stack
OpenSearch Security IAM
RBAC
Secrets Management
Encryption
Security Monitoring Additional Skills Networking fundamentals
Cloud architecture best practices
AI/ML platform operations
Performance optimization
FinOps and cloud cost management Preferred Candidate Profile The ideal candidate should have strong expertise in AWS cloud infrastructure, Infrastructure as Code, CI/CD automation, container orchestration, Kubernetes, platform observability, and cloud security.
Experience supporting AI/ML platforms and implementing scalable, secure, and production-grade DevOps solutions is highly desirable.
Skills AWS, AWS CloudFormation, Amazon CloudWatch
📌 Senior DevOps Engineer – AWS & AI (Bengaluru)
🏢 UST
📍 Bengaluru