前移工程师 (AWS)
Forward Deployed Engineer (AWS)
合作方式：独立承包商（1099）
主要联系人：产品经理和实践负责人
地点：远程办公（拉美地区）
关于 RevStar
在 RevStar，我们构建前沿的云、数据和生成式 AI 解决方案，改变企业组织的运作方式。作为高级 AWS 咨询合作伙伴，我们不仅编写代码，还解决复杂业务问题，现代化遗留基础设施，并部署生产级云原生和 AI 应用，以推动实际业务价值。
职位概述
我们正在寻找一位资深 AWS 前置部署工程师（FDE）加入我们的 AWS 实践团队。在这个高度可见的角色中，你将直接嵌入企业云架构、实际工程和客户交付的交汇点。
作为 FDE，你既是云架构大师，也是值得信赖的技术顾问。你将负责高影响力企业客户的完整交付生命周期——设计弹性云原生环境，现代化遗留基础设施，并部署最先进的 AWS 生成式 AI（Amazon Bedrock、Q、SageMaker）架构。同时，你将通过识别新工作负载、构建原型和与客户高管领导层进行战略技术对齐，推动 AWS 的采用和使用增长。
主要职责
- 云架构与实施：使用 Infrastructure as Code（Terraform、AWS CDK、CloudFormation）和现代微服务/无服务器模式（Lambda、ECS/EKS、API Gateway、DynamoDB）设计、构建和部署安全、可扩展且弹性的 AWS 云架构。
- 企业客户交付：作为战略企业客户项目的主要技术负责人。与 CIO、CTO、基础设施/工程副总裁及客户开发团队合作，将复杂的业务目标转化为高性能的 AWS 解决方案。
- 云迁移与应用现代化：领导从本地数据中心或遗留平台到 AWS 的大规模迁移（使用 AWS Application Migration Service、Database Migration Service 等），并重构遗留单体应用为现代无服务器或容器化架构。
- AWS 生成式 AI 与机器学习：利用 Amazon Bedrock、SageMaker、向量数据库（OpenSearch、Pinecone、pgvector）和自定义 RAG 实现，构建和部署企业级生成式 AI 和机器学习工作负载。
- 推动平台采用与增长：与 RevStar 客户管理层合作，
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Engagement Type: Independent Contractor (1099)
Primary Point of Contact: Product Manager and Practice Leader
Location: 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.
Requirements
Qualifications & Requirements
Technical Expertise:
- 6+ years of hands-on experience in Cloud Architecture, DevOps/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, CloudFront, Route 53).
- Infrastructure as Code (IaC) & CI/CD: Expert-level proficiency in Terraform, AWS CDK, or CloudFormation, along with automated CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline).
- AWS GenAI & Data Services: Practical experience with Amazon Bedrock, SageMaker, Glue, Redshift, or OpenSearch for building data platforms and AI solutions.
- AWS Certifications: AWS Certified Solutions Architect – Professional and/or AWS Certified DevOps Engineer – Professional required. Specialty certifications (Security, Machine Learning, Data Analytics) are a plus.
Client & Business Acumen:
- Enterprise Track Record: Proven experience leading technical delivery for Fortune 500 or mid-market enterprise clients (Healthcare, Financial Services, Retail, or SaaS).
- Consulting & Communication Skills: Outstanding verbal and written communication; adept at whiteboarding complex architectures, building working POCs/demos, and presenting to C-level executives.
- Growth Mindset: Ability to spot technical expansion opportunities, conduct AWS Well-Architected Reviews, and advocate for cloud modernization to expand account footprint.
Benefits
Engagement Details & Terms
- Contract Status: Independent Contractor (Form 1099-NEC).
- Compensation: Hourly rate, commensurate with experience.
Originally posted on Himalayas