Jobs at CapTech

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

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

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.

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

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.

The Senior Data Engineer will design, implement, and maintain modern data pipelines using cloud technologies, mentoring teams while ensuring solutions meet customer needs.

As a MuleSoft Architect, you will design high-quality enterprise systems and integrations, collaborate with clients, and provide technical leadership in a project-based consulting role.

Designs, develops, and maintains automated functional, regression, integration, UI, mobile, and API test suites. Builds reusable test frameworks, integrates tests into CI/CD pipelines, investigates failures, reports quality metrics, and collaborates with developers, analysts, product owners, and clients. The role also contributes to performance, accessibility, and security testing, participates in agile delivery, mentors junior engineers, and advises clients on pragmatic quality strategies.

Leads complex technology consulting engagements and cross-functional delivery teams. Develops project plans and roadmaps, manages milestones, risks, issues, and stakeholder decisions, and applies Agile, Waterfall, or hybrid methodologies. Performs hands-on analysis, design, process engineering, and change management as needed. The role emphasizes Microsoft Dynamics 365 and Power Platform implementations, CRM and ERP projects, enterprise integrations, client relationship management, and mentoring project management professionals.

Develop and maintain enterprise applications, integrations, APIs, microservices, cloud and serverless solutions, and web front ends in a client-facing consulting environment. Responsibilities include applying object-oriented design, collaborating with clients and technical teams, communicating solutions, mentoring developers, and delivering scalable, maintainable systems. The role requires full-stack development across Microsoft or Java technologies, modern front-end frameworks, databases, distributed systems, AI agent development, source control, and performance optimization.

Analyze business processes, systems, and datasets to define requirements, develop data models, improve data quality, implement governance, and generate actionable insights. The role includes statistical analysis, ETL and data wrangling, database and analytics development, reporting and visualization, and communication with technical and business stakeholders. Data Analysts collaborate with engineers, architects, scientists, and product owners to deliver client solutions in an Agile consulting environment.

Build and maintain deployment, monitoring, alerting, continuous integration, infrastructure automation, configuration management, and release management systems across physical servers and public or private clouds. Collaborate with development and operations teams, define SDLC automation strategy, troubleshoot distributed systems, and contribute to software development and automated testing practices.

Design, develop, test, debug, and deploy Python applications, REST APIs, microservices, and enterprise systems. Collaborate with architects, developers, and clients to deliver technical solutions, conduct code reviews, create reusable components, and integrate AI/ML technologies. Work in a client-facing consulting environment using modern software development practices, cloud platforms, databases, and version control.

Lead data strategy and delivery for clients: translate business needs into data architectures, assess and recommend data management technologies, design governance and quality frameworks, guide integrations and real-time data solutions, mentor teams, and support business development and solutioning.

Lead design and delivery of cloud data pipelines and architectures, advise clients on best practices, implement ETL/orchestration, work with product owners to meet requirements, provide technical leadership and mentor engineers, and maintain scalable data warehouse and lake solutions across cloud platforms.