Uni Systems

Technical Program Manager

• Coordinate, with the team assigned to the task, the input to be provided to the contractor(s) from an end-to-end point of view of the development cycle.
• Work within the agile process and take decisions regarding priority, business value, and functionality.
• Follow a number of activities across different projects and contractors requiring technical and project management skills.
• Understand and comply to a review process, monitor status of certain tasks, coordinate internally and gather input.
• Possess an in-depth knowledge of goals and desired objectives of the project.
• Validate requirements taking into account the relevant data space stakeholders.
• Propose solutions by combining IT tools and business process refactoring or improvements based on an in-depth understanding of a specific data spaces and initiatives.
• Be involved in the decision-making process related to user stories scheduling into sprints.
• Review deliverable and demonstrable product version/software functionalities after every sprint.
• Organize live demonstration of the product at the end of the sprint.
• Evaluate and facilitate progress reporting.
• Assist with internal and external communication by improving of transparency and dissemination of information.
• Evaluate prioritization and resolution of defects/bugs.
• Interact with business analysts, architects, stakeholders, project leaders and the developers.

IT Program Manager

Backend Engineer

• At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional .NET Developer to join our La Valletta, Malta UniQue team
• Configure, develop, and implement ICT components, including source code, solution architecture, software components, design patterns, database schemas, and backend systems across cloud and on-premises environments.
• Design, prototype, develop, test, and maintain applications for a European Institution, in line with the prioritised backlog agreed between ICT and business stakeholders.
• Contribute to the definition and execution of the information systems roadmap by providing technical expertise and recommendations.
• Implement automation, CI/CD pipelines, and DevOps best practices to improve development efficiency and deployment reliability.
• Develop and implement user interfaces, ensuring high quality look and feel, usability, accessibility, and compliance with functional and UI standards.
• Conduct technical and source code reviews to ensure quality, maintainability, security, and performance.
• Design, implement, test, and maintain integrations with internal and external information systems and platforms.
• Support reporting on ICT activities and application lifecycle status, including development, testing, deployment, and maintenance.
• Produce and maintain comprehensive technical documentation, including solution architecture, operational manuals, version descriptions, release guidelines, and user documentation.

Full-Stack .NET Developer

Infrastructure Engineer

• Design, implement and maintain a scalable, reliable and secure hybrid cloud ML Ops infrastructure to deploy, test, manage and monitor ML models in different environments;
• Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL) and/or Artificial Intelligence (AI);
• Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models;
• Analyse performance metrics and troubleshoot issues to ensure high availability and reliability;
• Design CI/CD pipelines, use orchestration solutions and data versioning tools;
• Creating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness.;
• Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;
• Provision of security studies, security assessments or other security matters associated with information system projects;
• Provision of support and guidance to other team members on MLOps practices.

Machine Learning Infrastructure Engineer

Business Analyst

• Collect business requirements and analyze advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solutions.
• Develop detailed application mock-ups using design tools, ensuring alignment with business objectives and user needs.
• Analyze large datasets to uncover actionable insights.
• Ensure strict compliance with GDPR and emerging AI regulations in all stages of data processing.
• Facilitate effective communication and collaboration between business stakeholders, data scientists, and IT developers.
• Conduct user acceptance testing to meet business requirements.
• Specification and design of presentation interfaces with optimal usability/user experience.
• Produce data models according to specific problems statements.
• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc.).
• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
• Interact with data stewards and other IT stakeholders to define the data rules.
• Define data controls and implement actions to ensure data quality and integrity.
• Create automated anomaly detection systems and constant tracking of its performance.
• Data mining using state-of-the-art methods.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Participates in the design of the IT architecture for solutions in the NLP / ML / AI fields and coordinates its implementation considering master- and meta-data management concepts.
• Analyze data architecture for consistency, completeness, accuracy and reasonableness.
• Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements.
• Analysis of Business requirements.

AI Business Analyst

• Development of front-end website
• Development of back-end website
• Design and develop APIs
• Building reusable code for future use
• Development and integration of technological components
• Implementation of user requirements
• Prototyping
• Elaboration of test programs
• Integration with other applications
• Writing of technical documentation
• Assistance with deployment and configuration of the system
• Participation in meetings with the project teams

FullStack Java Developer

Project Manager

• **What will you be doing in this role?**
• - Support the redesign and harmonization of SharePoint sites, including information architecture, content migration, and governance.
• - Gather requirements from stakeholders and coordinate validation of site structures and layouts.
• - Implement and maintain modern SharePoint pages, libraries, and project portals.
• - Support project planning, coordination, and delivery activities, including documentation, reporting, and tracking.
• - Maintain project plans, schedules, and resource coordination using standard tools.
• - Coordinate meetings, prepare materials, and support day-to-day administrative processes.
• - Provide customer-facing support by responding to queries and providing information on services and procedures.
• - Maintain files, records, and documentation, and perform other related duties as required.

SharePoint Project Coordinator

Full-stack Engineer

• Install, configure, monitor, and troubleshoot application architecture
• Manage complex architecture and integrate heterogeneous systems into it
• Architect and design information systems
• Review the architecture of existing systems
• Design and develop the architecture components and building blocks (back-end/front-end)
• Analyse the integration of different information systems
• Conduct Data analysis and data modelling
• Coordinate the implementation of the technical architecture
• Be the technical interface between the project leaders and the developers
• Participate in the production of software architecture documents
• Participate in technical working groups, progress meetings, and meetings with the users
• Assist during relevant parts of testing, analysis, technical documentation, deployment, evaluation, and reporting
• Implement and develop key features

Software Architect

Technical Project Manager

• Define project scope, timelines, milestones, and resource allocation.
• Organize and facilitate project meetings and status updates.
• Track project milestones and ensure on-time delivery of all deliverables.
• Ensure effective communication between developers, testers, infra teams, vendors, and stakeholders.
• Manage project risks, issues, and change requests throughout the lifecycle.
• Follow up on new release development and deployment activities.
• Lead and coordinate deployments across clusters and environments.
• Own INFRA, SECURITY, and TESTING aspects.

Technical Project Manager – Infrastructure, Cloud

QA Engineer

• Elaborate, maintain, and enforce information system (IS) quality control procedures.
• Prepare and maintain quality plans and service level agreements.
• Perform IS quality control activities and evaluations.
• Conduct quality studies, quality assessments, and address other quality-related matters associated with information system projects.
• Define, design, manage, and coordinate quality testing activities.
• Provide expert advice and recommendations on quality improvements.
• Support the implementation and adoption of project management methodologies.
• Perform risk analysis related to quality and testing activities.
• Provide support during key phases of testing, functional analysis, evaluation, and reporting.
• Perform functional testing and/or liaise with test teams to ensure that business and functional requirements are correctly translated into the testing process.

Quality Assurance Manager

Engineer

• Collaborate with clients and internal teams to design, implement, and maintain Atlassian Data Center infrastructures (Jira, Confluence).
• Act as a technical consultant, ensuring effective configuration, monitoring, and customization through advanced scripting and optimization.
• Install, configure, and maintain Atlassian Data Center instances (Jira, Confluence) ensuring high availability and performance.
• Monitor, troubleshoot, patch, and upgrade systems to maintain stability and security.
• Design and configure solutions using Atlassian tools and optimize add-ons (EazyBI, Zephyr, ScriptRunner).
• Develop and implement custom scripts, automations, and integrations via Groovy, Java, and REST APIs.
• Test and validate configurations and code before deployment.
• Provide technical support, create documentation, and deliver workshops and training.
• Collaborate with project managers and stakeholders to ensure successful delivery.

Engineer, Atlassian

• Work with a skilled team as an experienced key member on analysis, design, and implementation of Enterprise, Java-based solutions for our customers
• Maintain and evolve existing software applications by analyzing and identifying areas for modification
• Close cooperation with client teams and follow up business requirements
• Produce and maintain technical and system documentation
• Validate technical feasibility and propose alternative solutions
• Coach and guide young team members

Senior Java Engineer

• Actively participate in the software development lifecycle
• Be the Engineer for customer implementations through analysis, design, development, and implementation
• Assist with the deployment and configuration of the system
• Propose viable technical solutions
• Maintain comprehensive technical documentation, including code documentation and system documentation, to aid in knowledge sharing and onboarding of new team members
• Investigate and resolve complex technical issues, providing root cause analysis and implementing solutions to prevent recurrence
• Participate in project planning sessions, provide technical input for project estimations, and ensure that development timelines are met
• Collaborate effectively with cross-functional teams, including front-end developers, database administrators, and quality assurance engineers, to deliver high-quality software solutions
• Promote a culture of continuous improvement within the development team, identifying areas for process enhancement and efficiency gains

.NET Engineer

Data Engineer

• Development and maintenance of a fully open-source Data Lakehouse.
• Design and development of data pipelines for scalable and reliable data workflows to transform extensive quantities of both structured and unstructured data.
• Data integration from various sources, including databases, APIs, data streaming services and cloud data platforms.
• Optimisation of queries and workflows for increased performance and enhanced efficiency.
• Writing modular, testable and production-grade code.
• Ensuring data quality through monitoring, validation and data quality checks, maintaining accuracy and consistency across the data platform.
• Elaboration of test programs.
• Document processes comprehensively to ensure seamless data pipeline management and troubleshooting.
• Assistance with deployment and configuration of the system.
• Participation in meetings with other project teams.

Data Warehouse Developer

NLP Engineer

• Design, implement and optimise advanced AI, NLP, and ML models. Use LLMs, RAG frameworks, and other state-of-the-art approaches.
• Create methods for tokenisation, part-of-speech tagging, named entity recognition, classification, clustering and other text mining related tasks.
• Fine-tune pre-trained models on domain-specific tasks.
• Conduct thorough research and stay updated on the latest trends and advancements in NLP, ML, and AI technologies.
• Develop and maintain robust, scalable, and efficient code using Python.
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.
• Perform rigorous analysis and experimentation to improve model accuracy, efficiency, and scalability.
• Participate in peer reviews and contribute to the continuous improvement of AI solutions.
• Contribute to the design and implementation of ML application architecture and its solution stack.
• Develop comprehensive reports and visualisations to communicate insights and findings to stakeholders.

AI/NLP Engineer

Compliance

• Collaborate with clients to understand business objectives and assess their current risk and compliance maturity.
• Develop and implement customized GRC frameworks, policies, and procedures tailored to each client’s needs.
• Conduct risk assessments, vulnerability assessments, and gap analyses, and translate findings into actionable improvement plans.
• Provide guidance on regulatory compliance requirements and support clients in meeting relevant standards and regulations.
• Help clients select and implement GRC tools that support their governance, risk, and compliance objectives.
• Facilitate training sessions and workshops to support client awareness and adoption of GRC best practices.
• Provide time and effort estimates for prospective engagements and contribute to the technical writing of proposals and offers.
• Participate in the project management process of current projects.
• Take ownership of project delivery within your scope (assigned workstreams and deliverables), ensuring quality and timely execution.
• Stay abreast of industry trends, emerging risks, and regulatory changes affecting Governance Risk and Compliance (GRC).