
51 - 200 funcionários
Fundada em 2018
💼 Consultoria
🤝 B2B
🤖 Inteligência Artificial
Consulting • B2B • Artificial Intelligence
A RevStar é uma consultoria de transformação digital e inovação que ajuda organizações a passar da visão à execução, combinando clareza estratégica com execução técnica. Eles oferecem serviços como roteiros de crescimento estratégico, design moderno da jornada do cliente, planos de ação GenAI/IA, infraestrutura de dados, testes de produtos e sprints MVP, e roteiros de modernização. A RevStar enfatiza a inovação prática, orientada para resultados, e faz parcerias com líderes em saúde, seguros e finanças para resolver desafios críticos.
🕒 Julho 27
🌐 Estados Unidos, Alemanha, +1 outros países – Remoto
⚔️ Virginia – Remoto
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
💻 Engenheiro de Soluções
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2018
💼 Consultoria
🤝 B2B
🤖 Inteligência Artificial
Consulting • B2B • Artificial Intelligence
A RevStar é uma consultoria de transformação digital e inovação que ajuda organizações a passar da visão à execução, combinando clareza estratégica com execução técnica. Eles oferecem serviços como roteiros de crescimento estratégico, design moderno da jornada do cliente, planos de ação GenAI/IA, infraestrutura de dados, testes de produtos e sprints MVP, e roteiros de modernização. A RevStar enfatiza a inovação prática, orientada para resultados, e faz parcerias com líderes em saúde, seguros e finanças para resolver desafios críticos.
• **Pre-Sales & Customer Engagement** • - Lead technical discovery sessions to understand customer requirements, existing environments, constraints, and success criteria • - Act as the technical authority during customer meetings, addressing questions related to AWS AI, ML, GenAI, data platforms, and migrations • - Translate business and modernization objectives into technical requirements and high-level solution designs • - Partner with Account Executives during AWS co-sell motions to validate use cases, migration paths, and technical fit • - Serve as a trusted technical advisor to customers throughout the pre-sales process • **AWS Architecture, Modernization & Migration Design** • - Design reference architectures aligned with AWS Well-Architected Framework principles • - Define **cloud migration and modernization strategies**, including: • - Rehost, replatform, refactor, and hybrid approaches • - Database migrations (RDS, Aurora, DynamoDB, etc.) • - Application and data migration sequencing • - Create clear, reusable architecture diagrams covering: • - AI/ML and GenAI pipelines • - Agent-based systems • - Data lakes and analytics platforms • - Application, database, and infrastructure migrations • - Select and justify appropriate AWS services (e.g., S3, Glue, Redshift, Bedrock, SageMaker, Lambda, ECS/EKS, DMS) • - Clearly explain architectural tradeoffs, migration risks, and implementation options to both technical and non-technical stakeholders • **AI, ML & Data Expertise** • - Scope AI and ML solutions including data ingestion, feature engineering, training, inference, and MLOps workflows • - Design Generative AI architectures using AWS services such as Bedrock, SageMaker, vector databases, and RAG patterns • - Architect modern data platforms including batch and streaming pipelines, analytics layers, and visualization tooling • - Ensure solution designs align with governance, security, compliance, and data residency requirements • **Costing, Estimation & Planning** • - Build AWS cost estimates using the AWS Pricing Calculator • - Provide high-level implementation timelines and phased delivery plans, including migration sequencing • - Identify cost drivers, scaling considerations, and optimization opportunities early in the sales cycle • - Support proposal and SOW development by supplying: • - Technical scope and migration assumptions • - Dependencies, risks, and constraints • - Provide technical inputs required for AWS funding requests (e.g., PoCs, migrations, credits) in coordination with Account Executive • **Internal Collaboration & Enablement** • - Collaborate with delivery and engineering teams to validate feasibility, migration approach, and scope before deal close • - Ensure clean handoff from pre-sales to delivery with documented architectures, migration plans, and assumptions • - Share feedback on customer needs, technical trends, and emerging AWS services
• **Required** • - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience • - Proven experience in a Solutions Architect, Technical Architect, Pre-Sales Consultant, or consulting role • - Strong understanding of AWS cloud services, including AI/ML, data platforms, and migration services • - Experience designing or discussing: • - Cloud and application migrations • - Data and database modernization • - Analytics and AI/ML workloads • - Excellent communication and presentation skills • - Strong problem-solving skills with a customer-first mindset • **Preferred** • - AWS certifications (Solutions Architect, GenAI, ML Specialty) • - Experience supporting AWS migration programs or co-sell motions • - Familiarity with CRM and opportunity tracking systems • - Prior experience contributing to proposals, SOWs, or AWS funding submissions
• **Benefits for Full-Time W2 Positions:** • - Paid Time Off – Take the time you need to recharge and stay productive. • - Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team. • - Comprehensive Health Coverage – Medical, Dental, Vision • - 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program. • - Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses. • - Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth. • - Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries. • - Company Outings & Volunteer Opportunities – Build relationships and give back to the community. • - Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.
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