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Forward Deployed Engineer; AWS

Job in Waukesha, Waukesha County, Wisconsin, 53188, USA
Listing for: RevStar Consulting Inc
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    AWS, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Engineer (AWS)
About Rev Star

At Rev Star, we build cutting-edge cloud, data, and Generative AI solutions that transform how enterprise organizations operate. As an Advanced AWS Consulting Partner, we don’t just deliver code—we solve complex business problems, modernize legacy infrastructure, and deploy production-grade cloud native and AI applications that drive real business value.

Role Overview

We are seeking a Senior AWS Forward Deployed Engineer (FDE) to join our AWS Practice. In this highly visible role, you will operate embedded directly at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery.

As an FDE, you are both a master cloud builder and a trusted technical advisor. You will own the full delivery lifecycle for high-impact enterprise accounts—architecting resilient cloud-native environments, modernizing legacy infrastructure, and deploying state‑of-the-art AWS Generative AI (Amazon Bedrock, Q, Sage Maker) architectures. Simultaneously, you will drive AWS adoption and consumption growth by identifying new workloads, building POCs, and driving strategic technical alignment with client executive leadership.

Key Responsibilities
  • Hands-On Cloud Architecture & Implementation: Design, build, and deploy secure, scalable, and resilient cloud architectures on AWS using Infrastructure as Code (Terraform, AWS CDK, Cloud Formation) and modern microservices/serverless patterns (Lambda, ECS/EKS, API Gateway, DynamoDB).
  • Enterprise Customer Delivery: Serve as the primary technical leader on strategic enterprise client engagements. Partner with CIOs, CTOs, VPs of Infrastructure/Engineering, and client development teams to translate complex business goals into high-performing AWS solutions.
  • Cloud Migration & Application Modernization: Lead large-scale migrations from on-premises data centers or legacy platforms to AWS (using AWS Application Migration Service, Database Migration Service, etc.) and re-architect legacy monolithic applications into modern serverless or containerized architectures.
  • AWS Generative AI & Machine Learning: Architect and deploy enterprise GenAI and ML workloads leveraging Amazon Bedrock, Sage Maker, Vector Databases (Open Search, Pinecone, pgvector), and custom RAG implementations.
  • Drive Platform Adoption & Growth: Partner with Rev Star account leadership to identify new, high-value cloud workloads within client accounts, driving AWS consumption expansion and clear ROI for client executive stakeholders.
  • Technical Mentorship & Practice Building: Coach and mentor Cloud Engineers and Solutions Architects. Drive internal Rev Star accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices.
Qualifications & Requirements Technical Expertise:
  • 6+ years of hands-on experience in Cloud Architecture, Dev Ops/SRE, or Software Engineering with a focus on AWS.
  • 3+ years in a client-facing consulting, Solutions Architecture, or Forward Deployed Engineering role.
  • Deep AWS Core Expertise:
    Mastery across core AWS services (IAM, VPC, EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, Cloud Front, Route 53).
  • Infrastructure as Code (IaC) & CI/CD:
    Expert-level proficiency in Terraform, AWS CDK, or Cloud Formation, along with automated CI/CD pipelines (Git Hub Actions, Git Lab CI, AWS Code Pipeline).
  • AWS GenAI & Data Services:
    Practical experience with Amazon Bedrock, Sage Maker, Glue, Redshift, or Open Search for building data platforms and AI solutions.
  • AWS

    Certifications:

    AWS Certified Solutions Architect – Professional and/or AWS Certified Dev Ops Engineer – Professional required. Specialty certifications (Security, Machine Learning, Data Analytics) are a plus.
Client & Business Acumen:
  • Enterprise Track Record:
    Proven…
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