Job Highlight
The incumbent will be a vital member of the Data and Digital team, contributing to the ongoing evolution and maintenance of DCO's software platforms. They will contribute and be involved with the whole software development lifecycle, from requirements analysis, prototyping, coding for the front and backend, automated testing and deployment. In addition, the incumbent will also support the business focal points with triaging and resolving user issues and feedback, as well as general reporting and data management. The incumbent will be expected to take an active role with supporting and improving the team’s development process. The incumbent will also support the Digital Solutions Lab's development and quality assurance capacity to the Lab's AI tools and programmes
Role Purpose
The incumbent will be a vital member of the Data and Digital team, contributing to the ongoing evolution and maintenance of DCO's software platforms. They will contribute and be involved with the whole software development lifecycle, from requirements analysis, prototyping, coding for the front and backend, automated testing and deployment. In addition, the incumbent will also support the business focal points with triaging and resolving user issues and feedback, as well as general reporting and data management. The incumbent will also be expected to take an active role with supporting and improving the team’s development process. The incumbent will also support the Digital Solutions Lab's development and quality assurance capacity to the Lab's AI tools and programmes
The incumbent will report to the ICT Senior Manager and will work collaboratively with the core development team who are based remotely and also with colleagues in headquarters in New York and the UN Resident Coordinator Offices.
Within a team of front-end and back-end developers, the incumbent will be working on web and software applications servicing offices across the world as well as HQ. The main technologies used are Typescript, Javascript, Express, Postgres, React JS, Python, Docker, Kubernetes, Azure tools and environments, LLM providers, Microsoft Power Automate and other low code tools. The project follows the Git workflow model and uses Gitlab for code management and releases. Developers are required to write comprehensive automated tests for code to ensure adequate coverage.
The incumbent of this position will be a personnel of UNOPS under its full responsibility.
Functions / Key Results Expected
The incumbent will primarily work as a Software developer and be involved with all aspects of the system development as part of the team. This includes design and development of User interfaces (UI), web APIs and databases, whilst adhering to agreed standards and dev-ops procedures. The incumbent will be required to perform the following functions:
New Feature Development: Design, develop, and implement new features and modules to address DCO’s identified business needs and priorities, ensuring alignment with DCO’s digital development standards. System Maintenance and Support: Analyze and develop solutions to issues reported by the business focal points. These prioritized issues will include both bugs and feature enhancements and changes. Full-Stack Development: Utilize expertise in both frontend and backend technologies (Typescript, Node.js, React JS, Postgre SQL, Python) to contribute across the entire technology stack and to maintain quality through automated tests. API Development/Integration: Design and develop public and private APIs suite as well as to facilitate integration and consumption with other systems, and provide comprehensive documentation. Data warehouse or lakehouse: Design and build data storage architectures for optimised and efficient data management and retrieval. Platform Enhancement: Analyze existing applications and identify opportunities for improvement in performance, scalability, security, and user experience. Data Visualization: Develop and integrate interactive data visualizations and dashboards using to effectively communicate insights. Collaboration: Work closely with a team of developers, participating in code reviews, sprint cycles, and knowledge-sharing activities. Technical Documentation: Create and maintain clear and concise technical documentation for developers and application administrators. Technical Support: Provide technical support to application administrators and data managers, assisting with user and data management, resolving bugs and troubleshooting. Cloud Technologies: Leverage cloud platforms (Azure) and tools (Docker) to ensure scalability, reliability, and security of applications. Stay Current: Remain informed about the latest trends and advancements in software development, and responsible AI practices, continuously updating skills and knowledge. Function as an active member of the wider DCO development team, including regular knowledge interchange, joint events etc. Assist with Dev-ops tasks such as maintenance, configuration and support of the infrastructure on which the DCO applications sit.
Education Requirements
An advanced university degree (Master's degree or equivalent), preferably in information technology, information systems, information management, web development, database, engineering or related field is required with five (5) years of relevant experience is required; OR,A first-level university degree (Bachelor’s degree or equivalent)), preferably in information technology, information systems, information management, web development, database, engineering or related field is required with seven (7) years of relevant experience is required; OR,A Secondary school diploma (or high school equivalent) with eleven (11) years of relevant experience is required.
Requirements
Experience Requirements
Required:
Relevant experience refers to cumulative experience across the following fields:
Database driven web application development and maintenance. Experience developing with object-oriented Java Script and Java Script-based libraries, in particular Typescript, Node. JS and React JS to build dynamic and data driven websites and/or applications. Experience in software testing including frameworks and techniques such as dependency injection, Jest, Mocha or Cypress.. Experience with development of AI-Driven apps and/or complex Agentic workflows
Desired: (The following experience is optional. Candidates who do not have it are welcome to apply)
Experience in developing with SQL-based open-source databases such as MySQL or Postgre SQL is desirable Experience in code versioning, in particular Git workflow, is desirable Experience in the development of web API services and their utilization is an asset. Experience of developing on a Linux environment is desirable. Knowledge or experience in managing dependencies, deployment and development workflow is desirable. Demonstrated experience in web development projects in a consulting or professional services environment, working with cross-functional teams is an asset. Experience working on projects using an agile framework is desirable. Experience with devops, in particular Kubernetes and Docker is desirable. Experience with Azure and other cloud services or Azure Developer Associate certification, would be an asset AI-102 certification / AWS Certified AI Practitioner is an asset Experience of developing web applications in other programming languages would be beneficial, in particular Python and FLASKExperience with AI-enabled application development (e.g. developing custom Agents, MCP Servers, Observability platforms, Copilot Studio, Rovo and others) is desirable. Experience working with setting up AI services (e.g. Azure AI Foundry) Experience with, or aptitude for, structured use of AI tools to assist with development, testing, and quality assurance is desirable. Experience of integrating vector data and maps with various platforms is an asset. Experience working as or closely with a UX/UI designer is an asset. Some experience working with the public or not-for-profit sector would be an asset. Exposure to or demonstrated aptitude for AI-assisted testing and quality assurance (e.g., evaluating or red-teaming AI-generated outputs) is desirable.