Senior DevOps Engineer - AWS & AI

As a Senior DevOps Engineer, you will design, build, automate, and operate the AWS cloud infrastructure powering the organizations 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 environment.

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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.