Supporting our engineering teams by:

• Designing, building, and maintaining scalable backend services and RESTful APIs using Python and Node.js/TypeScript.
• Developing frontend interfaces and full-stack features that deliver high-quality client experiences.
• Building and maintaining data pipelines and ML-integrated workflows on Microsoft Azure.
• Designing, deploying, and operating AI agents and MCP (Model Context Protocol) servers to enable intelligent automation and integration.
• Developing cloud-native microservices and greenfield products with resilience and scalability in mind.
• Delivering client-facing integrations with a focus on reliability, performance, and clear documentation.
• Contributing to CI/CD pipeline design and maintenance using Azure DevOps.
• Practicing DDD to align software with business and client expectations.
• Participating actively in Agile/Scrum ceremonies and contributing to continuous improvement.
• Design, develop, optimize, and maintain data architecture.
• Design and maintain ingestion of multiple data sources.

This is you

• You hold a BSc in Computer Science, Software Engineering, or a closely related discipline.
• You bring a minimum of 3 years of hands-on experience as a software engineer, with a focus on backend and full-stack development.
• You are proficient in Python and Node.js/TypeScript and apply them confidently in production environments.
• You have practical experience building and deploying applications on Microsoft Azure, including familiarity with core services such as Azure Functions, App Services, and Azure DevOps.
• You have working knowledge of cloud-native patterns: microservices, containerization (Docker/ Kubernetes), and API design.
• You have hands-on experience building or integrating data pipelines and working with ML frameworks or APIs.
• You have experience in designing, deploying, or operating AI agents and MCP servers - or a strong, demonstrable interest in this space.
• You are comfortable implementing and maintaining CI/CD pipelines, ideally with Azure DevOps.
• You practice BDD and understand how to translate business requirements into verifiable software behavior.
• You have experience working in Agile/Scrum teams and using the Atlassian Suite (Jira, Confluence).

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Supporting our engineering teams by:

• Designing, building, and maintaining scalable backend services and RESTful APIs using Python and Node.js/TypeScript.
• Developing frontend interfaces and full-stack features that deliver high-quality client experiences.
• Building and maintaining data pipelines and ML-integrated workflows on Microsoft Azure.
• Designing, deploying, and operating AI agents and MCP (Model Context Protocol) servers to enable intelligent automation and integration.
• Developing cloud-native microservices and greenfield products with resilience and scalability in mind.
• Delivering client-facing integrations with a focus on reliability, performance, and clear documentation.
• Contributing to CI/CD pipeline design and maintenance using Azure DevOps.
• Practicing DDD to align software with business and client expectations.
• Participating actively in Agile/Scrum ceremonies and contributing to continuous improvement.
• Design, develop, optimize, and maintain data architecture.
• Design and maintain ingestion of multiple data sources.

This is you

• You hold a BSc in Computer Science, Software Engineering, or a closely related discipline.
• You bring a minimum of 3 years of hands-on experience as a software engineer, with a focus on backend and full-stack development.
• You are proficient in Python and Node.js/TypeScript and apply them confidently in production environments.
• You have practical experience building and deploying applications on Microsoft Azure, including familiarity with core services such as Azure Functions, App Services, and Azure DevOps.
• You have working knowledge of cloud-native patterns: microservices, containerization (Docker/ Kubernetes), and API design.
• You have hands-on experience building or integrating data pipelines and working with ML frameworks or APIs.
• You have experience in designing, deploying, or operating AI agents and MCP servers - or a strong, demonstrable interest in this space.
• You are comfortable implementing and maintaining CI/CD pipelines, ideally with Azure DevOps.
• You practice BDD and understand how to translate business requirements into verifiable software behavior.
• You have experience working in Agile/Scrum teams and using the Atlassian Suite (Jira, Confluence).
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