Top Tech Jobs & Startup Jobs

Lead design and implementation of Google Contact Center AI voice and digital self-service solutions for large contact centers. Provide end-to-end technical leadership, integrate with backend systems via APIs, collaborate with conversation designers, perform testing, and mentor developers while guiding architecture decisions and client engagements.

As a Sales Executive, you'll engage with clients, promote Microsoft offerings, and build strong customer relationships to enhance their experience.

The Sales Executive is responsible for generating business revenue by acquiring new clients and expanding existing ones, primarily selling Microsoft solutions related to digital contact centers and cloud services.

Designs, develops, tests, and supports enterprise analytics solutions using Microsoft Fabric and Power BI. Partners with stakeholders to define reporting requirements, create data models and semantic layers, build dashboards and reports, validate data quality, and implement governance and security controls. Supports Agile delivery, testing, documentation, deployment, production troubleshooting, user enablement, and adoption of scalable analytics solutions.

Technical subject-matter expert for SandcastleCX leading pre- and post-sales AWS/Contact Center engagements. Design and demo Amazon Connect solutions, build POCs, run workshops, define integrations and architecture, enable customers, identify upsell opportunities, and mitigate implementation risks while collaborating with sales, delivery, and product teams.

The AI Developer will develop, test, and deliver NICE CXone AI solutions, focusing on chat bots and other AI systems, while also supporting production and development teams.

Design, develop, configure, and implement ServiceNow solutions; translate business requirements into technical designs; build integrations (REST/SOAP/APIs); support ITSM/ITOM/HRSD/CSM/FSM modules; perform testing, UAT support, troubleshooting, documentation, and ongoing optimization while engaging clients and stakeholders.

Design, build, and maintain cloud-based data engineering solutions and APIs. Transform raw data into scalable datasets, implement CI/CD and containerized deployments, mentor junior engineers, and collaborate with clients and delivery teams to ensure successful analytics projects.

Design, develop, and deliver enterprise-grade Dynamics 365 and Power Platform solutions. Build Canvas and Model-driven apps, PCF controls, plugins, integrations (REST/SOAP), and Omnichannel configurations. Participate in SDLC, perform code reviews, troubleshoot production issues, create technical documentation, and support agile delivery and sprint planning.

Lead end-to-end development, deployment, and operationalization of production-grade ML models and analytics pipelines on GCP; produce executive-ready visualizations; run client workshops; provide technical leadership, mentor junior staff, and support presales scoping for advanced analytics engagements.