Jobs at RevStar Consulting

Architects and deploys secure, scalable AWS cloud, data, and generative AI solutions for enterprise clients. Leads cloud migrations, legacy modernization, Infrastructure as Code, CI/CD, serverless and containerized implementations, and GenAI workloads using Bedrock and SageMaker. Acts as a client-facing technical leader, presents to executives, builds proofs of concept, identifies cloud expansion opportunities, and mentors engineers while developing reusable delivery accelerators and best practices.

Designs and implements secure, scalable AWS cloud architectures, modernizes legacy applications, and deploys generative AI and machine learning solutions using Bedrock, SageMaker, and vector databases. Leads enterprise client engagements, migrations, proofs of concept, and executive technical alignment while identifying cloud adoption opportunities. Provides mentorship, develops reusable infrastructure modules, and promotes AWS Well-Architected delivery practices.

Designs and deploys secure AWS cloud architectures, leads enterprise migrations and application modernization, and builds Generative AI and machine learning solutions using Bedrock, SageMaker, vector databases, and RAG. Acts as the primary technical leader for client engagements, advises executive stakeholders, develops proofs of concept, drives AWS adoption and account growth, and mentors engineering teams while creating reusable infrastructure and delivery frameworks.

Build responsive React and TypeScript frontends, secure Node.js microservices, REST APIs, AWS cloud-native applications, and search/data workflows using OpenSearch, Kendra, SQL, and NoSQL databases. Collaborate with product, design, data, and client stakeholders in an agile consulting environment while contributing to architecture, CI/CD, testing, and feature delivery.

Architects and manages cloud-native and AI infrastructure, builds Terraform-based IaC and secure CI/CD pipelines, implements observability and cost optimization, and leads client discovery workshops and technical engagements. The role requires extensive AWS, cloud, AI platform, containerization, automation, security, and consulting experience, with strong communication skills for presenting architectures and aligning technical solutions with enterprise business outcomes.

Lead pre-sales technical discovery and serve as the architectural authority for enterprise AWS solutions. Design GenAI, data platform, and cloud migration architectures using services such as Bedrock, SageMaker, RDS, Aurora, and DynamoDB. Develop AWS cost models, SOWs, proposals, migration strategies, and technical handoffs while partnering with account executives, AWS teams, engineering, and delivery stakeholders.

Design and evolve modular game engines, visual templates, UI systems, and interactive learning modules. Responsibilities include architecting reusable graphics systems, gameplay loops, progression frameworks, visual feedback, reward structures, and UI/UX standards. The role also requires technical documentation, asset specifications, visual audits, usability assessments, and collaboration with engineering and art teams. The contractor will provide autonomous game design expertise and technical direction.

Architects and manages enterprise cloud and AI infrastructure, builds Terraform-based IaC and secure CI/CD pipelines, operates containerized and serverless workloads, and implements observability, security, and cost optimization. The role also leads client discovery workshops, demos solutions, gathers requirements, and develops cloud adoption strategies in a remote consulting environment.

Build enterprise-grade cloud applications for client engagements, developing React and TypeScript frontends, Node.js microservices, AWS serverless infrastructure, databases, search platforms, and data pipelines. The role includes API design, CI/CD, automated testing, identity management, agile collaboration, architecture reviews, and direct client communication.

Leads hands-on software engineering across delivery teams by establishing architectural and coding standards, contributing production code, conducting reviews, building reusable accelerators, and driving AI adoption. Develops ReactJS, NodeJS, and AWS cloud-native solutions; mentors senior engineers; creates technical training; audits project compliance; and collaborates with product, DevOps, and QA stakeholders.

Design and abstract reusable game graphics, UI systems, gameplay mechanics, and visual templates into scalable frameworks. Establish UI/UX standards, gameplay loops, visual feedback, reward structures, and asset specifications. Partner with engineering and art teams on content pipeline tooling, conduct visual and usability reviews, support client configuration, and document technical design standards. Requires autonomous execution and deep expertise in modular game design systems, visual communication, and asset workflows.

Lead AWS migration engagements from discovery through stabilization, coordinating technical delivery, architecture, risk mitigation, client communications, and cross-functional teams. Own scope, timelines, escalations, delivery governance, resource assignments, and quality standards. Partner with Sales and Solutions Architecture on QBRs and expansion opportunities while ensuring migration strategies, backlogs, dependencies, and rollback plans are executed effectively.

Own end-to-end product delivery for enterprise clients, from discovery and roadmap definition through launch. Lead cross-functional engineering, architecture, and design teams; create PRDs, user stories, prioritized backlogs, and success metrics; facilitate workshops and demos; manage delivery in Azure DevOps; and guide clients through technical tradeoffs, scope, and risks. Use generative AI and rapid-prototyping tools to accelerate product development while supporting account growth and executive relationships.

Design, build, and deploy production-grade data pipelines, analytics platforms, and Generative AI applications on Databricks. Lead enterprise migrations from legacy data platforms, architect cloud-native solutions, implement RAG and ML pipelines, and advise executive client stakeholders. Drive Databricks adoption and account growth by identifying new use cases, while mentoring engineers and contributing reusable delivery accelerators.

Build scalable Databricks Lakehouse architectures and ETL/ELT pipelines using Spark and Delta Lake across AWS, Azure, and GCP. Tune performance and cloud costs, integrate MLflow for AI model deployment, and implement CI/CD and Infrastructure-as-Code with Terraform or Databricks CLI. The role also enforces governance and security through Unity Catalog, supports regulatory compliance, and collaborates with clients, data scientists, architects, and engineering teams to deliver production-ready AI solutions.

Designs and deploys enterprise data pipelines, analytics platforms, Generative AI applications, RAG solutions, and ML pipelines on Databricks and cloud platforms. Leads legacy data migrations, advises enterprise and C-suite stakeholders, drives platform adoption and expansion, and mentors engineering and consulting teams. The role combines hands-on solution architecture, customer delivery, technical leadership, and business development across major enterprise accounts.

Build and optimize cloud-agnostic Databricks Lakehouse architectures and scalable ETL/ELT pipelines using Spark and Delta Lake. Integrate MLflow for AI model operationalization, implement CI/CD and Infrastructure-as-Code deployments, tune performance and cloud costs, and enforce data governance and security. Collaborate with architects, data scientists, engineering teams, and clients to deliver production-ready AI solutions and technical handoffs.

Own partner-led B2B technology sales from opportunity qualification through contract closure. Build relationships with AWS and other partner account teams, manage enterprise pipeline, lead business discovery, coordinate proposals and statements of work with solutions architects, maintain CRM accuracy, and develop account expansion strategies for cloud modernization, custom application, AI, and data solutions.

Design and build cloud-agnostic Databricks Lakehouse architectures, scalable ETL/ELT pipelines, and production AI data workflows. Optimize Apache Spark performance, integrate MLflow for model deployment, and implement CI/CD and Infrastructure-as-Code using Terraform or Databricks CLI. Enforce governance, security, and compliance standards through Unity Catalog and cloud platforms. Collaborate with architects, scientists, product managers, and client engineering teams to deliver documented, production-ready solutions.