Minimum Experience - 10 yrs
About the Role
We are seeking a skilled DevOps Engineer with expertise in Amazon Web Services (AWS) and Microsoft Azure to design, implement, and manage cloud infrastructure solutions for AI products. The ideal candidate will have hands-on experience in deploying scalable, secure, and high-performing cloud environments across both platforms, ensuring alignment with business objectives and compliance with industry standards.
Key Responsibilities
Cloud Architecture & Deployment:
Design, implement, and manage cloud infrastructure using services from AWS (EC2, S3, RDS, Lambda, VPC, CloudFormation) and Azure (VMs, Blob Storage, Azure Functions, Virtual Network, ARM templates).
Automation & CI/CD:
Develop Infrastructure as Code (IaC) using Terraform, CloudFormation, or ARM templates. Automate deployments using CI/CD tools such as Jenkins, AWS CodePipeline, Azure DevOps, or GitHub Actions.
Security & Compliance:
Implement best practices for cloud security and compliance (e.g., RBI, SEBI regulations), including data protection using IAM, KMS, GuardDuty (AWS), and Azure Security Center.
Monitoring & Optimization:
Set up monitoring tools like CloudWatch, CloudTrail (AWS), and Azure Monitor. Optimize performance, cost, and resource utilization across both cloud platforms.
Networking:
Configure and manage VPCs, VPNs, Subnets, and Route Tables (AWS), as well as Virtual Networks, NSGs, and ExpressRoute (Azure) to ensure secure and efficient network operations.
Collaboration:
Work closely with security and development teams to support product development and deployments.
Documentation:
Maintain clear and comprehensive documentation for infrastructure, configurations, and processes.
Technical Skills
- Good to have: MLOps working knowledge
- Expertise in Infrastructure as Code (IaC) tools: Terraform, CloudFormation, ARM templates
- Prior experience in building cloud infrastructure for AI products
- Strong scripting skills: Python, Bash, or Shell
- Experience with containerization and orchestration: Docker, Kubernetes (EKS/AKS)
- Proficiency in CI/CD tools: Jenkins, AWS CodePipeline, Azure DevOps, GitHub or Bitbucket Actions
- Solid understanding of security and compliance in cloud environments
Preferred Certifications
- AWS Certified Solutions Architect – Associate/Professional
- AWS Certified DevOps Engineer – Professional
- AWS Certified Security – Specialty
- Microsoft Certified: Azure Administrator Associate / Azure Solutions Architect Expert
Behavioral Competencies
- Excellent verbal communication skills
- Good problem-solving skills
- Attention to detail
- Ability to multitask
- Strong troubleshooting and analytical abilities
