Forward Deployed Engineer (AWS)

Engagement Type: Independent Contractor (1099)

Primary Point of Contact: Product Manager and Practice Leader

Remote (LATAM Based)

About RevStar

At RevStar, 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, SageMaker) 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, CloudFormation) 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, SageMaker, Vector Databases (OpenSearch, Pinecone, pgvector), and custom RAG implementations.
• Drive Platform Adoption & Growth: Partner with RevStar 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 RevStar accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices.