Job Summary 
 

We are looking for a passionate and skilled Java Developer with strong experience in cloud technologies (AWS) and modern backend development practices. You will play a key role in designing, developing, and deploying scalable microservices and RESTful APIs within a cloud-native environment. This role requires deep understanding of Spring Boot, containerization, and AWS services, coupled with an Agile mindset.

Key Responsibilities:
 

- Collaborate within Agile Scrum teams following TDD practices for high-quality software delivery.
- Participate in Sprint planning, story estimation, and backlog reviews.
- Work closely with Product Owners, BAs, Architects, DevOps, and QA teams to deliver robust solutions.
- Design and develop microservices (OIS, PSV, PSD) using Java 17/21 and Spring Boot.
- Build and maintain CI/CD pipelines using GitLab and SonarQube for code quality and automated deployments.
-Deploy and manage containerized applications using Docker and Kubernetes.
- Use Kafka for Order Event Processing and asynchronous communication.
- Work with PostgreSQL databases hosted on AWS RDS.
- Manage object storage and lifecycle policies in AWS S3.
- Integrate APIs via AWS API Gateway and AWS Lambda functions.
- Build and consume RESTful services, with documentation using Swagger/OpenAPI.
- Create and maintain common libraries shared across multiple microservices.
- Use JUnit and Mockito for unit testing and ensure coverage across modules.
- Monitor logs and troubleshoot issues in higher environments using Splunk.
- Engage in pair programming and collaborate on design, implementation, and code reviews.
 

Technical Skills:

Languages & Frameworks: Java 17/21, Spring, Spring Boot, Spring Data API
Testing: JUnit, Mockito
DevOps & CI/CD: GitLab, SonarQube, CI/CD pipelines
Cloud: AWS (RDS for PostgreSQL, S3, API Gateway, Lambda)
Messaging: Kafka
Containers: Docker, Kubernetes
Data Formats: JSON, XML
Build Tools: Maven
API Development: REST, Swagger/OpenAPI
Project Tools: Jira, Agile, Scrum

Key Skills and Qualifications: 
 

- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
- 4+ years of experience in Java Application development with at least 2 years experience in clould technologies (AWS).
 
-Experience with microservices architecture and cloud-native applications.
-Exposure to logging and monitoring tools like Splunk.
-Familiarity with secure coding practices and scalable system design.

What We Offer:

• Competitive salary + benefits package
• Flexible working options (Hybrid/Remote)
• Opportunity to work with cutting-edge cloud technologies
• Training & development programs, including cloud certifications
• Collaborative and inclusive company culture

If you're passionate about developing cloud applications/transformation and have the technical expertise to develop applications we’d love to hear from you!
 

Job Summary 
 

We are seeking a highly analytical and domain-expert Business Analyst to bridge the gap between complex global commodities trading operations and the technical development of PrimeTrade AI™, an enterprise AI-powered trading platform. The ideal candidate will translate the requirements of Al Abra General Trading LLC into actionable functional specifications for AI and Natural Language Machine (NLM) components. This role requires a professional who can synthesize market intelligence, risk exposure, and regulatory standards into a cohesive intelligence layer that delivers predictive insights and real-time decision support for traders and executives.

Key Responsibilities:
 

• Requirements Engineering: Lead discovery workshops to define user stories and functional requirements for the conversational AI interface and the "Natural Language Machine" intelligence flow.

• Trading & Risk Logic: Collaborate with stakeholders to define logic for commodity price forecasting (short/medium/long term), margin optimization, and stress testing scenarios.

• Workflow Automation: Map and document end-to-end trade lifecycles, including automated trade approvals, contract management, and exception-based alerting systems.

• Data Ingestion Strategy: Identify and define data mapping requirements for diverse sources, including ERP systems, FX feeds, logistics data, and market news feeds.

• AI Explainability & Governance: Define the requirements for "Explainable AI" outputs to ensure all platform-generated insights are transparent, auditable, and human-readable.

• Regulatory Compliance: Ensure all functional designs align with international regulatory environments and UAE data protection standards.

• Intelligence Layer Integration: Document requirements for geopolitical, shipping, and market sentiment analysis to be integrated into the risk and intelligence engines.

• UAT & Training: Spearhead User Acceptance Testing (UAT) and lead user training sessions during the final project delivery phases to ensure successful platform adoption.

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Key Skills and Qualifications:

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• Education: Bachelor’s degree in Business, Finance, Economics, or a related field with a strong analytical focus.

• Experience: Minimum 5–7+ years of experience in Business Analysis, specifically within the commodities trading, Fintech, or AI sectors.

• Core Tech Stack: Proficiency in requirements management tools (e.g., Jira, Confluence), SQL for data analysis, and business process modeling notation (BPMN).

• Domain Expertise: Expert understanding of global trade operations, including FX risk, shipping logistics, and counterparty credit exposure.

• AI/ML Familiarity: Strong conceptual understanding of Natural Language Processing (NLP), LLM orchestration, and how AI can be applied to predictive modeling.

• Data Handling: Mastery of interpreting complex datasets and translating them into business-centric dashboards and conversational UI requirements.

• Professional Attributes: Exceptional problem-solving skills, detail-oriented documentation habits, and the ability to thrive in a high-pressure, milestone-driven environment.

• Communication: Strong ability to collaborate within cross-functional teams and act as a primary liaison between UK-based technical teams and UAE-based business stakeholders.

Job Summary:

The DevOps Engineer will manage the integration, automation, and deployment of cloud services, ensuring seamless delivery and operational excellence.

​

Key Responsibilities:

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• Design and implement CI/CD pipelines for automated build, test, and deployment processes.

• Collaborate with the Cloud Architect to deploy scalable and secure cloud infrastructure.

• Implement Infrastructure as Code (IaC) using tools such as Terraform or AWS CloudFormation.

• Monitor and optimize system performance, reliability, and security.

• Manage incident response and troubleshoot production issues.

• Advocate and implement DevOps best practices across teams.

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Key Skills and Qualifications:

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• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

• 4+ years of experience as a DevOps Engineer, preferably with AWS environments.

• Proficiency in IaC tools like Terraform, Ansible, or CloudFormation.

• Hands-on experience with CI/CD tools such as Jenkins, GitLab, or CircleCI.

• Knowledge of containerization and orchestration tools (Docker, Kubernetes).

• Strong scripting skills (Python, Bash, etc.).

Job Summary:

​

We are seeking a technically proficient and highly analytical Backend Software Engineer to design, develop, and maintain the core infrastructure of PrimeTrade AI™, an enterprise commodities trading platform. The ideal candidate will possess a strong background in Backend development, combined with expertise in Robotic Process Automation (RPA) and AI integration. This role requires a developer who can bridge the gap between complex data extraction (OCR/Web Scraping) and scalable backend services, working closely with architects and data scientists to deliver a high-performance, automated trading ecosystem.

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Key Responsibilities:

• Backend Engineering: Design and implement secure, scalable server-side logic and database schemas using Java/Python/C#/.NET Framework, and Oracle/SQL Server.

• AI & Automation Integration: Develop and deploy automation workflows using UiPath (RE-Framework) to integrate AI components such as OCR and ICR for automated document processing.

• Data Ingestion & Extraction: Build robust data pipelines utilizing Web and Screen Scraping techniques to capture market and transactional data from diverse digital sources.

• System Monitoring: Configure and manage Kibana and Elasticsearch dashboards to monitor workflow execution, audit logs, and troubleshoot production errors in real-time.

• API & Service Development: Create and maintain RESTful APIs and WCF/Web Services to facilitate seamless communication between the frontend trading interface and backend AI models.

• Performance Optimization: Conduct regular code reviews and fine-tuning to ensure low-latency performance and high availability for trading-critical operations.

• Security & Compliance: Implement role-based access controls and ensure all backend components align with ISO 27001 and UAE PDPL data protection standards.

• Technical Documentation: Produce and maintain comprehensive Technical Design Documents (TDD) and Solution Design Documents (SDD) throughout the project lifecycle.

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Key Skills and Qualifications:

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• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

• Experience: Minimum 5–7+ years of experience in backend development and process automation.

• Core Tech Stack: Expert proficiency in any of Java/Python/C#, .NET, ASP.NET, and SQL Server database management.

• Automation Tools: Advanced knowledge of UiPath Studio, Orchestrator, and Robot; UiPath Advanced Developer Certification is highly desirable.

• Web Technologies: Strong understanding of HTML, CSS, JavaScript, and Ajax to support frontend-backend integration.

• Data Handling: Mastery of data transformation, regex, and extraction tools (OCR/Full-text scraping).

• Professional Attributes: Excellent problem-solving skills, attention to detail, and the ability to operate in a high-pressure, milestone-driven environment.

• Communication: Strong ability to collaborate within cross-functional teams and communicate complex technical concepts to non-technical stakeholders.