RevStar
RevStar
RevStar is a digital transformation consultancy that helps organizations turn strategic priorities into working products and services. Its team brings together growth planning, customer journey design, AI and generative AI planning, data infrastructure, product testing, MVP development, and technology modernization. RevStar works with leaders in healthcare, insurance, and finance on mission-critical challenges, connecting strategic direction with hands-on technical execution. The company’s hiring context is not specified in the available information.

Senior AWS Data and AI Forward Deployed Engineer

Lead AWS cloud, data, and generative AI delivery for enterprise clients, from migrations and modernization to production AI deployments. Work directly with client executives while guiding architecture, technical delivery, and engineering teams.

Description

  • Design and deliver secure, scalable AWS cloud architectures.
  • Apply infrastructure as code and modern microservices and serverless patterns.
  • Lead technical delivery on strategic enterprise client engagements.
  • Collaborate with technology executives, infrastructure and engineering leaders, and client development teams.
  • Turn complex business objectives into effective AWS solutions.
  • Lead migrations from on-premises data centers and legacy platforms to AWS.
  • Modernize monolithic applications with serverless or containerized architectures.
  • Design and deploy enterprise generative AI and machine learning workloads.
  • Build data platforms, custom retrieval-augmented generation solutions, and vector database implementations.
  • Identify valuable cloud workloads and expand AWS adoption.
  • Present return on investment to client executives.
  • Mentor cloud engineers and solutions architects.
  • Create RevStar accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery practices.

Requirements

  • At least 6 years of hands-on experience in AWS-focused cloud architecture, DevOps/SRE, or software engineering.
  • At least 3 years in client-facing consulting, solutions architecture, or forward deployed engineering.
  • Deep knowledge of core AWS services, including IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudFront, and Route 53.
  • Expertise with Terraform, AWS CDK, or CloudFormation.
  • Experience building automated CI/CD pipelines with tools such as GitHub Actions, GitLab CI, or AWS CodePipeline.
  • Practical experience with services such as Amazon Bedrock, SageMaker, Glue, Redshift, or OpenSearch.
  • AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional certification required.
  • Demonstrated technical delivery leadership for Fortune 500 or mid-market enterprise clients.
  • Excellent verbal and written communication skills.
  • Ability to whiteboard complex architectures, build working proofs of concept or demos, and present to C-level executives.
  • Ability to spot technical expansion opportunities, conduct AWS Well-Architected Reviews, and advocate for cloud modernization.
  • AWS specialty certifications in Security, Machine Learning, or Data Analytics are a plus.

Benefits

  • Paid time off
  • Remote-first work environment
  • Medical, dental, and vision coverage
  • 401(k) retirement plan
  • Annual stipend for learning and development, including conferences, certifications, or courses
  • Peer mentorship and coaching
  • Professional growth opportunities
  • Company outings and volunteer opportunities
  • Collaborative, innovative culture

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