Jobs at RevStar Consulting

Drive partner-led sales with AWS account teams: source and qualify AWS-referred opportunities, own deals through close, coordinate with Solutions Architects for scoping and proposals, maintain CRM and forecasting, run customer meetings, and grow accounts and territory through AWS relationship management.

Lead pre-sales technical discovery and solution design for AWS AI/ML, data platforms, and cloud migrations. Create reference architectures, migration strategies, cost estimates, and high-level implementation plans. Advise customers during AWS co-sell motions, validate feasibility with delivery teams, and support proposals, SOWs, and AWS funding requests.

Design, build, and deploy production-ready LLM APIs and GenAI solutions on AWS. Implement RAG pipelines, data lake pipelines, serverless workflows, prompt orchestration, and AI dashboards. Collaborate with product, DevOps, and architecture teams, document solutions, and support client handoffs while staying current with AWS GenAI and MLOps innovations.

Design and build responsive React frontends and scalable Node/Express backends. Implement search and ETL pipelines, integrate data sources on AWS, translate Figma designs into reusable UI components, optimize performance, collaborate in Agile teams, and engage with clients for requirements and demos.

Design, build, and optimize Databricks-based data pipelines and Lakehouse architectures. Implement ETL/ELT, MLOps, model tracking with MLflow, performance tuning, monitoring, and data governance across cloud storage platforms. Collaborate with architects, data scientists, and clients to deliver scalable, secure AI/ML solutions.

Lead product discovery and delivery for client-facing, cloud-native and AI-enabled solutions. Define vision and roadmaps, write PRDs and user stories, prioritize MVP features, demo products, transition projects to development, coordinate stakeholders, use AI-powered prototyping tools, and maintain project operations in Azure DevOps.

Lead AWS migration engagements from discovery through stabilization, owning delivery, client communication, risk management, backlog planning, cutover and rollback strategies, team allocation, and continuous improvement of migration playbooks and quality gates.

Hands-on software leader who defines and enforces coding and architecture standards, operates a cloud-native Center of Excellence, builds reusable accelerators and reference architectures, coaches and trains engineers, and drives adoption of AI and AWS best practices to improve delivery quality and scalability across product teams.