Jobs at CapTech

Design, develop, and maintain full-stack enterprise systems using Microsoft Stack or Java. Build and consume RESTful APIs, implement scalable databases (SQL Server, NoSQL), develop modern front ends (JavaScript/TypeScript, Angular/React/Vue), apply cloud and microservice/serverless architectures, and contribute to AI/agent development and integrations. Collaborate with clients, mentor teammates, document solutions, and ensure performance, scalability, and maintainable code.

Lead design and architecture of Java-based, API-driven solutions including microservices, serverless, cloud, and event-driven integrations. Hands-on coding, create estimates and roadmaps, assess performance, and apply AI toolsets (agentic AI, Claude/Codex/OpenClaude, LangChain) while collaborating with clients and mentoring teams.

Design and advocate enterprise data architectures that align with client business goals. Assess current-state data systems, recommend cloud and on-prem solutions, and implement modern data platforms (ingestion, storage, modeling, real-time distribution). Mentor staff, collaborate with stakeholders, promote data governance, and support business development by scoping and estimating proposed solutions.

Lead data strategy and delivery for clients: translate business needs into data architectures, assess and recommend data management technologies, drive data governance and quality, mentor teams, scope cloud and on-prem solutions, and support business development and client engagements.

Lead data strategy and delivery for clients: translate business needs into data architectures, assess and recommend data management technologies, design integration and governance frameworks, guide real-time and warehousing solutions, and mentor teams while supporting business development and client engagements.

Lead the design and delivery of modern data architectures for clients, advising on cloud and on-prem solutions. Assess technologies, define integration and governance strategies, guide engineering teams, present recommendations to executives, and drive practice growth and client engagements.

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.

Design, build, and maintain scalable cloud data pipelines and warehousing/lake solutions. Advise customers on best practices, lead technical design, mentor engineers, and collaborate with stakeholders to deliver supportable data engineering solutions across cloud platforms.

Design, implement, and maintain cloud-based data pipelines and platforms. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership and mentoring, and stay current with cloud data technologies and architectures.

Design, develop, and maintain full-stack enterprise applications and integrations. Build RESTful APIs, front-end interfaces, and cloud-native microservices. Mentor teammates, communicate solutions to stakeholders, optimize performance, and apply object-oriented design and integration best practices.

Design, build, and maintain cloud-based data pipelines and data products across AWS, Azure, or GCP. Advise clients on cloud data architectures, implement production data solutions, and collaborate with users, developers, and analysts to maximize data value.

Lead data strategy, advise clients on data architecture and governance, design roadmaps to improve integration/quality/delivery, evaluate data management technologies, guide architectural trade-offs, mentor and lead consulting teams, and support business development and solution delivery.

Design and advise on end-to-end data architectures across cloud and on-prem systems. Assess technologies, recommend integration and governance approaches, lead technical trade-off decisions, mentor staff, collaborate with stakeholders, and support business development and delivery.

Design, develop, and maintain API-driven enterprise systems and integrations across front-end and back-end stacks. Build RESTful APIs, cloud-deployed microservices and serverless apps, optimize performance and scalability, mentor teammates, and communicate solutions to technical and non-technical stakeholders.

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.

Design, build, and maintain cloud-based data pipelines and data architecture on AWS/Azure/GCP. Advise clients on cloud ingestion and processing, collaborate with stakeholders, and deliver production-ready data products using modern data tools.

Design and recommend end-to-end data architectures for clients, improving data integration, quality, and delivery. Evaluate cloud and on-prem technologies, define architectural trade-offs, mentor staff, collaborate with stakeholders, and support business development efforts to deliver scalable, governed data solutions.

Design, develop, and maintain full-stack enterprise systems using API-driven, microservice, and serverless architectures. Build and consume RESTful APIs, implement database solutions, develop front-end interfaces, integrate distributed systems, and mentor teammates while ensuring performance, scalability, and clear technical communication with clients.

Lead data architecture strategy and delivery: assess current and future-state data platforms, design end-to-end data solutions (ingestion, storage, modeling), recommend governance and security practices, guide teams through implementation, present technical trade-offs to executives, and grow CapTech’s Data & Analytics capabilities and client engagements.

Lead data strategy and delivery for clients by assessing architectures, recommending data management technologies, defining data governance and quality, enabling integrations and real-time data flows, mentoring teams, and supporting business development and solution delivery across cloud and on-prem platforms.