Top Tech Jobs & Startup Jobs

The Senior Consultant will liaise with clients and technical teams to enhance application operations, resolve issues, and improve processes. Responsibilities include client engagement, data analysis, and deployment coordination.

Lead design, develop, test, and deploy UiPath RPA solutions; analyze processes for automation, build reusable frameworks, integrate APIs and systems, implement IDP, mentor developers, and manage bot lifecycle and performance.

Lead EMIDS's AI engineering and solutions practice, co-sell with sales, run rapid prototypes and proofs-of-concept that close deals, architect AI SDLC/PDLC, build repeatable demo assets, and manage a cross-functional team of product and development engineers focused on healthcare customers.

Lead application architecture and database changes, conduct feasibility and impact analyses, respond to production support tickets, perform code reviews, mentor junior developers, develop features (.NET, client-side, DB), manage release activities, improve CI/CD and DevOps practices, and liaise with clients on requirements and solutions in a healthcare (HIPAA/HL7/FHIR) context.

Design, develop, and maintain Splunk dashboards, reports, alerts and integrations. Administer Splunk Enterprise and forwarders, implement custom scripts (Python/PowerShell), analyze and optimize performance, collaborate with stakeholders in Agile ceremonies, mentor developers, and maintain documentation.

Lead a development team, conduct feasibility analysis, handle production support issues, perform code reviews, and ensure timely sprint deliverables.

The Business Analyst will define and implement incentive compensation strategies, integrate data for accurate calculations, and drive discussions on functional requirements in the healthcare domain.

The role involves designing scalable SFCC architectures for a pharmacy eCommerce platform, ensuring compliance with HIPAA, optimizing performance, and managing project lifecycles with cross-functional teams.

The Systems Engineer will analyze business requirements, design data solutions, develop ETL pipelines, and work with cloud platforms like Azure while ensuring data integrity.

Design AI-driven automation solutions and agentic architectures, integrate AI with enterprise systems, lead AI initiatives, and mentor engineers.