Top Tech Jobs & Startup Jobs

Manage and maintain scalable AWS and Databricks infrastructure, implement IaC, build CI/CD pipelines with CloudBees/Jenkins, automate operations with Python/Groovy/Shell, monitor systems, troubleshoot production issues, and drive DevOps best practices.

Design, develop, and deploy enterprise Power BI solutions using Databricks as the primary data source. Build semantic models, advanced DAX and Power Query transformations, optimize performance, implement security and governance, publish/manage workspaces and pipelines, produce paginated reports, validate data quality, and mentor junior developers.

Lead the development of MVP solutions, engage stakeholders, build application components, leverage AI tools, and prepare for enterprise deployment.

The Director leads business development for CAI's State Government division, focusing on growth strategy, client engagement, and proposal development while maintaining client relationships and overseeing pre-sales activities.

Lead the implementation of an Enterprise Asset Management System, managing projects from initiation to closure while coordinating with stakeholders and vendors.

Lead and coordinate large-scale cross-functional engineering programs: translate goals into technical workstreams, manage dependencies and risks, track progress, facilitate stakeholder communication, support technical reviews, and drive process improvements to meet program objectives.

Design and deliver human-centered AI interaction experiences, including prompt frameworks, multi-step workflows, feedback loops, escalation/human-override paths, onboarding and adoption, and user-facing playbooks. Collaborate with Applied AI Architects and stakeholders, produce wireframes, journey maps, and documentation, ensure accessibility and compliance, and monitor adoption to iteratively improve AI-augmented tools.

Lead design, develop, and deploy MVP full-stack solutions using Oracle (PL/SQL), .NET on Azure, Angular, Python, and APIs. Provide technical leadership to an offshore team, engage stakeholders to define requirements, leverage AI tools to accelerate development, advise on architecture and scaling, and support transition from MVP to enterprise deployment.

Design and deliver human-centered AI interaction experiences, including prompt workflows, feedback loops, escalation/human-override paths, onboarding and adoption, wireframes and journey maps, and collaborate with AI architects and stakeholders to align AI solutions to real-world workflows.

Facilitate Agile software teams as Scrum Master: run ceremonies, track metrics, coach on Scrum/Kanban/SAFe, manage backlogs, remove impediments, support scaled Agile transformations and distributed teams.