Jobs at Globaldev Group

Develop frontend-focused full-stack software using React or Preact and .NET. Apply AI-powered coding tools such as Claude to accelerate development, make technical decisions independently, and deliver maintainable, high-quality code.

Lead the architecture, governance, deployment, and support framework for Microsoft Copilot Studio and Power Platform solutions. Enable citizen developers through self-service workflows, training materials, workshops, documentation, mentorship, and technical support. Define scalable and secure integrations using Power Automate, APIs, connectors, and Dataverse while managing the full agent lifecycle from ideation through maintenance. Communicate the value of the support service to technical and non-technical stakeholders.

Design, develop, and deliver scalable, reliable backend software solutions using Java, Spring Boot, Kotlin, Kubernetes, and related cloud technologies. Collaborate with engineers and stakeholders on challenging projects in a consultancy environment.

Design, build, and maintain scalable data pipelines, models, and backend data infrastructure. Develop dbt transformation workflows on Snowflake or Databricks, manage orchestration, and create internal data applications with tools such as Streamlit. Translate product requirements into technical solutions, collaborate across engineering and analytics teams, and use GenAI tools to accelerate development from design through deployment and continuous improvement.

Design, develop, and own production-grade backend features from architecture through deployment. Build robust, scalable server-side systems for complex performance requirements, maintain code infrastructure, and integrate large language models, vector databases, and third-party AI services to create AI-powered APIs and services.

Design and scale predictive ML systems for VIS.X, taking end-to-end ownership of various high-impact ML initiatives and shaping the ML architecture.

The Senior Data Scientist will analyze complex data, develop scalable data pipelines, build machine learning models, and collaborate with various teams to enhance decision-making products.

Lead BI adoption and deliver end-to-end BI solutions: design, develop, test, monitor, support reports and alerts. Work with business, data, product, and tech teams, use SQL, Python, Big Data, Tableau, and AI tools to translate business requirements into technical solutions.