AWS Cloud Engineer (GenAI / AI/ML focus)

Schedule: Standard & on call rotation once every 5 weeks

Must Have Qualifications: The manager is looking for an infrastructure engineer who has experience enabling GenAI solutions in AWS. Candidates must have hands-on experience with AWS GenAI services (Bedrock, Q, Sagemaker, etc.), and AWS networking and IAM. Must have 5+years of infrastructure experience and 1-2 years of hands on GenAI enablement. Nice to have skills include CFT, EKS, Google Cloud Platform, Gemini, Microsoft Azure, and OpenAI. This role is focused on enabling and supporting GenAI capabilities.

Interview Information:

• Rounds: 1 – 2 rounds
• Duration: 30-60 mins
• Interview Type: MS Teams - Video Mandatory & In Person
• Interview Placeholders: Targeting week of Mar16th

Job Description - Cloud Infrastructure Engineer:

• 5+ years of Knowledge & Hands-on experience in designing and supporting AWS platform infrastructure solutions. In depth understanding of AWS Networking - PrivateLink, Security Group, Route53, VPC, VPCe, etc. Knowledge of authentication, authorization of services via SCP, KMS, Policies and Roles.
• Hands-on Experience in CloudFormation Templates design, development, deployment and automation with CI/CD pipelines.

Requirements:

• Minimum 5+ years of related industry experience in an enterprise environment on cloud platform.
• Demonstrable experience with
• CFT/Python/Shell Scripts
• EKS, Jenkins, Git (BitBucket) and Artifactory
• ServiceNow
• Jira, Confluence
• Hand-on experience with design, implementation, integration, and operational support of Cloud-based applications at platform level.
• Excellent verbal and written communication skills.
• Self-motivated, driven, and creative individual
• Experience with the following are differentiators: - AWS Bedrock, Azure Platform, Azure OpenAI
• Education Bachelor's Degree in Computer Science, Information Technology or equivalent work experience(required)

  Skill / Technology	Required Experience	Notes
  AWS Cloud Platform (General)		Designing & supporting AWS enterprise infrastructure
  AWS Networking (VPC, VPCe, PrivateLink, Route53, Security Groups)		Deep understanding required
  IAM (SCP, KMS, Policies, Roles)		Authentication & authorization expertise
  AWS GenAI Services (Bedrock, Q, SageMaker)		Hands‑on GenAI enablement required
  CloudFormation Templates (CFT)		Design, development, deployment & automation
  Python / Shell Scripting		Automation & infrastructure operations
  EKS (Kubernetes)		Container orchestration
  CI/CD Tools (Jenkins, Git/Bitbucket, Artifactory)		Deployment automation
  ServiceNow		ITSM / support workflows
  Jira & Confluence		Agile & documentation
  Cloud-based Application Integration & Support		Platform-level operational support

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  GenAI & Multi‑Cloud Skills

  Skill / Technology	Experience Level	Notes
  AWS Bedrock		Strong differentiator
  AWS Q, SageMaker		GenAI enablement & support
  Azure Cloud		Cross-cloud capabilities
  Azure OpenAI		LLM enablement
  Google Cloud Platform / Gemini		Additional GenAI exposure
  OpenAI APIs		Broader LLM support