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RevStar

Data & AI Forward Deployed Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 6 years of hands-on experience in cloud architecture, DevOps/SRE, or software engineering focused on AWS.
  • At least 3 years of experience in client-facing consulting, solutions architecture, or forward deployed engineering.
  • Deep expertise in AWS core services, including IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudFront, and Route 53.
  • Expert proficiency in Terraform, AWS CDK, or CloudFormation, and automated CI/CD pipelines such as GitHub Actions, GitLab CI, or AWS CodePipeline.
  • Practical experience with Amazon Bedrock, SageMaker, Glue, Redshift, or OpenSearch for building data platforms and AI solutions.
  • AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional certification is required.
  • Proven experience leading technical delivery for Fortune 500 or mid-market enterprise clients in healthcare, financial services, retail, or SaaS.
  • Ability to identify technical expansion opportunities, conduct AWS Well-Architected Reviews, and advocate for cloud modernization to expand account footprint.
  • Ability to whiteboard complex architectures, build working proofs of concept and demos, and present to C-level executives.

Responsibilities

  • Design, build, and deploy secure, scalable, and resilient AWS cloud architectures using Infrastructure as Code tools and modern microservices or serverless patterns.
  • Serve as the primary technical leader on strategic enterprise client engagements and translate complex business goals into high-performing AWS solutions in partnership with client executives and development teams.
  • Lead large-scale migrations from on-premises data centers or legacy platforms to AWS, and re-architect legacy monolithic applications into serverless or containerized architectures.
  • Architect and deploy enterprise generative AI and machine learning workloads using Amazon Bedrock, SageMaker, vector databases, and custom retrieval-augmented generation implementations.
  • Identify new, high-value cloud workloads within client accounts to drive AWS consumption expansion and clear return on investment for client executive stakeholders.
  • Coach and mentor Cloud Engineers and Solutions Architects.
  • Develop internal accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices.

Desired Qualifications

  • Specialty AWS certifications in Security, Machine Learning, or Data Analytics.

About the Company

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