Jobs at CapTech

Design, develop, customize, and maintain web content management solutions using dotCMS. Integrate RESTful APIs, optimize performance and scalability, perform code reviews, troubleshoot issues, and collaborate with designers, PMs, and developers. Stay current with dotCMS updates and industry best practices.

Design, implement, and oversee enterprise dotCMS content management solutions. Lead architecture, gather requirements, develop integrations, set coding/deployment standards, mentor developers, and recommend platform improvements.

This role involves engineering, administering, and evolving SaaS platforms, driving automation and security improvements, and mentoring junior engineers.

Lead delivery for cross-functional teams implementing Microsoft Dynamics 365 and Power Platform. Develop and communicate project plans and roadmaps, manage risks and issues, facilitate stakeholder decisions, and perform hands-on analysis, design, process engineering, and change management. Apply agile, waterfall, or hybrid methodologies, manage large complex consulting engagements, and mentor project management community.

Lead client-facing programs and cross-functional delivery teams to plan, execute, and report on complex business and technology initiatives. Build trusted advisor relationships, manage scope and issues, perform hands-on analysis and change management, and advocate for accessibility and inclusive design to ensure successful service delivery.

Lead cross-functional teams to elicit and translate business objectives into technical and functional requirements, design integrations and data mappings, support solution architecture, write user stories and acceptance criteria, and coordinate testing and validation across enterprise systems. Act as a client-facing advisor, mentor analysts, and support end-to-end delivery for large-scale modernization and integration projects.

Lead and execute Dynamics 365 and Power Platform strategy and implementations: roadmap creation, process analysis, team design, hands-on configuration (including Customer Service module), integration, training, cross-team collaboration, and continuous system improvements to maximize adoption and business value.

Develop and implement Dynamics 365 solutions, conduct organizational analysis, provide configuration support, and lead training initiatives for users to enhance platform adoption.

As a Senior Data Engineer, you'll design and implement data pipelines using cloud technologies, ensuring optimal solutions for data management. You'll collaborate with stakeholders to meet technical needs and stay updated on industry trends.

Design and implement data-driven machine learning solutions. Lead teams, strategize with clients, and optimize scalable ML systems for business needs.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

The role involves strategy planning, implementation, user training, and continuous improvement of Microsoft Dynamics 365 and Power Platform for clients.

The Salesforce Architect will design and implement Salesforce solutions, ensuring integration across systems, while mentoring team members and leading client relationships.

The Data Architect aligns technology with business goals, enhances data value, leads engineering teams, and communicates with stakeholders about strategic data solutions.

The Lead Data Strategist will interface with clients, deliver data management solutions, lead technical teams, and ensure data integration and quality improvement.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.

As a Senior Data Engineer, you'll design and implement data pipelines on cloud platforms, collaborate with clients, and provide technical leadership while using ETL technologies and various database systems.

Data Architects at CapTech design and implement data solutions, improving data management and integration aligned with business goals, while mentoring staff and driving innovative solutions.

The Machine Learning Engineer designs and implements scalable machine learning systems, collaborates with cross-functional teams, analyzes large datasets, and develops data-driven solutions for clients.

The Lead Data Architect collaborates with clients to develop data strategies, leads engineering teams, and ensures alignment between technology solutions and business goals, focusing on innovative data management practices.