Solutions Architect

Overview

Rev Star is a dynamic team of engineers, UX designers, and product managers committed to putting your business first in the pursuit of excellence. As an AWS Advanced Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value for our clients. We are passionate about what we build and how we build it.

Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality - principles that underpin every role, from architecture and design to coding and delivery. We approach each project with an agile mindset, continuously analyzing goals and business needs to ensure optimal outcomes. At Rev Star, our people are our greatest resource. We foster a collaborative, remote-first culture where teams freely share ideas, innovate together, and grow both individually and collectively.

By joining us, you’ll have the opportunity to work with cutting-edge technologies across diverse industries, delivering value-driven products for clients who prioritize quality and performance. We believe in the pursuit of better, not just in cloud-native app development, but in creating meaningful experiences and outcomes that matter.

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, Dynamo
  
  DB, 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, Sage Maker, 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, Sage Maker, 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

Qualifications

Required

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Proven experience in a Solutions Architect, Technical Architect, Pre-Sales Consultant, or…