Database Developer Jobs

Job Description:<br><br>We are seeking a highly skilled Back-End Java Spring Boot Engineer . The ideal candidate will have extensive experience in developing, optimizing, and maintaining secure and scalable banking applications using Java, Spring Boot, and Microservices architecture.<br><br>Key Responsibilities:<br><br> Design, develop, and maintain high-performance, scalable, and secure banking applications. Build and maintain RESTful APIs and integrate with third-party services. Work with Spring Boot, Spring Security, Spring Data, and Hibernate for back-end development. Implement microservices architecture and ensure efficient inter-service communication. Collaborate with cross-functional teams including front-end developers, Dev Ops, and business analysts. Ensure the security and compliance of applications with banking industry regulations. Optimize and troubleshoot system performance, database queries, and APIs. Work with SQL and NoSQL databases (Postgre SQL, MySQL, Mongo DB, etc.). Implement CI/CD pipelines for seamless deployment and integration. Write clean, maintainable, and well-documented code following best practices. <br><br>Required Skills & Qualifications:<br><br> 4 to 10 years of experience in Java back-end development, preferably in the banking/financial domain. Strong proficiency in Java and Spring Boot framework. Experience with Microservices architecture and containerization tools like Docker & Kubernetes. Proficiency in working with RESTful APIs, JSON, and message queues (Rabbit MQ, Kafka). Hands-on experience with relational and non-relational databases such as Postgre SQL, MySQL, Mongo DB. Knowledge of security frameworks such as Spring Security, OAuth2, JWT. Experience with CI/CD tools (Jenkins, Git Lab CI/CD, Maven, Gradle). Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and collaboration skills

<p>For a big real estate developer in Heliopolis, P&amp;M are looking for Sales Consultants B2B to assume the following responsibilities:&nbsp;</p><ul><li><p>Managing the sales process for the new Mall.</p></li><li><p>Selling the mall units/shops</p></li><li><p>Generating new sales leads.</p></li><li><p>Contacting potential and current customers and discussing their requirements.</p></li><li><p>Achieving all revenues, sales targets &amp; objectives in line with the Business Plan.</p></li><li><p>Working closely with the marketing team.</p></li><li><p>Developing &amp; maintaining successful business Leads and relationships.</p></li><li><p>Planning and organizing projects' database (Hard-copy and Soft-copy) to ensure sales opportunity maximization.</p></li><li><p>Negotiating contracts with clients.</p></li><li><p>Organizing on-site sales visits.</p></li><li><p>Attending and representing the developer in exhibitions, conferences and meetings.</p></li><li><p>Advertise the Mall on different marketing Channels.</p></li><li><p>Dealing with customer inquiries face to face, over the phone or via email and social media.</p></li></ul><p></p>

About Us<br><br>Join us at Orange Business!<br><br>We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.<br><br>Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.<br><br>About The Role<br><br>As a Software Developer, you will be contributing to diverse projects, internal or customer-facing, in line with our global automation and digitization vision.<br><br>In this key role, you will go beyond traditional software development, shaping our automation vision and delivering cutting-edge solutions. From crafting innovations to enhancing engineering practices, tailoring solutions, and supporting production software, your expertise is pivotal for project success.<br><br>Key Responsibilities:<br><br> Design solutions adapted to internal and external customer needs, scalable and optimized for Operations Develop and deliver cases in a timely manner Apply professional software engineering best practices throughout the software development life cycle, ensuring coding standards, conducting code reviews, managing source control, implementing build processes, conducting unit testing, and maintaining quality and operations. Specify requirements and define acceptance tests, incorporating expertise in database queries (Microsoft SQL and MySQL), cloud knowledge, creating APIs, and understanding CI/CD processes and concepts. Support production software packages by fixing bugs, adding features, and contributing to the overall road map of solutions. Report on KPIs, activity, and project progress to ensure transparency and continuous improvement. <br><br>About You<br><br> Bachelor’s degree in Engineering or a relevant field. Minimum of 2 years of strong hands-on experience in Software Development, demonstrating expertise in: Python and Django framework is a must. Experience developing with (. Net, Node Red, React, etc.) is valued. Database queries (Microsoft SQL and MySQL). CI/CD processes and concepts. Fluent in English; French is a plus. Strong background knowledge and experience with: Common development practices. Service-oriented environments. Agile framework (Scrum, SAFE) Proven ability to work independently and collaboratively within multinational/different time zones <br>You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.<br><br>What We Offer<br><br> Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). Professional Development: training programs and upskilling/re-skilling opportunities. Career Growth: Internal growth and mobility opportunities within Orange. Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. Reward Programs: Employee Referral Program, Change Maker Awards.<br><br>Only Your Skills Matter<br><br>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.

We are looking for a BI Developer with strong experience in Power BI or Qlik/Qlik Sense to design, develop, and maintain business intelligence solutions, dashboards, reports, and data models. Job Responsibilities:Design and develop advanced Power BI or Qlik/Qlik Sense reports, dashboards, and data models. Translate business requirements into technical specifications and effective BI solutions. Collaborate with stakeholders to understand business needs and deliver data-driven solutions. Create and optimize DAX measures in Power BI or Qlik expressions/calculations in Qlik. Integrate and transform data from multiple sources, including SQL Server, Oracle, Excel, and cloud platforms. Implement data security practices, including Row-Level Security (RLS). Troubleshoot and resolve performance issues while ensuring data accuracy and report efficiency. Perform data transformation, data modeling, reporting, and ad-hoc report generation. Design and develop reports in various formats, including MS Office, PDF, and HTML. Develop pixel-perfect reports in PPT/HTML using BI tools. Work on end-to-end BI application development, from requirements gathering through release. Integrate BI solutions with REST APIs and work with extensions/mashups where applicable. Use Git/version control for development activities. Work with data warehousing, ETL processes, and Big Data ecosystems. Create and maintain technical documentation. Communicate technical insights and data findings effectively with business stakeholders. Requirements:5–7 years of experience in BI development, reporting, and data modeling. Strong hands-on experience with either Power BI or Qlik/Qlik Sense. For Power BI profiles: strong DAX, Power BI Service, data modeling, and dashboard development. For Qlik profiles: strong Qlik/Qlik Sense development, data modeling, reporting, and Qlik Service experience. Strong SQL skills for data extraction and analysis. Experience with SQL Server, Oracle, or other RDBMS. Good understanding of data warehousing and ETL concepts. Experience with data transformation and integration from multiple sources. Knowledge of RLS/data security. Experience with REST APIs and Git/version control is an advantage. Experience with Azure Data Lake, Enterprise Data Lake, Advanced Analytics, or Big Data ecosystems is a plus. Strong communication, analytical, and problem-solving skills. Bachelor's degree in Computer Science or equivalent. Power BI or Qlik certification is a plus.

About Us<br><br>Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:<br><br>350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona) Our proprietary AI orchestrator Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions<br><br>Ready to kick start your career with us?<br><br>Why Infomineo? Here's what sets us apart:<br><br>Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics) Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success Lead in AI & Technology: We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company's growth<br><br>About this role:<br><br>We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer. In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br><br>Key Responsibilities:<br><br>Data Science, AI & Applied R&D:<br><br>Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as Lang Chain or equivalent, with a focus on reliability, accuracy, and performance in production Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines<br><br>Full-Stack Application Development:<br><br>Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as Fast APIBuild or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns Develop and maintain REST API integrations with third-party AI services, enterprise Saa S platforms, internal tools, and external data sources Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture<br><br>Cloud, Deployment & MLOps:<br><br>Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments Design and maintain CI/CD pipelines using Git Hub Actions or equivalent tools to ensure reliable and repeatable releases Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure Technical Leadership & Collaboration:Lead applied AI and data science initiatives from discovery and prototyping through production deployment Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs Define standards and best practices for AI solution design, evaluation, documentation, and delivery Communicate complex technical concepts clearly to both technical and non-technical audiences<br><br>Qualifications:<br><br>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks Solid full-stack development background, including experience with backend frameworks such as Fast API and modern frontend frameworks such as React, Next.js, or Vue Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as Open AI, Gemini, Lang Chain, or equivalent Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent Familiarity with container orchestration, artifact management, CI/CD pipelines, Git Hub Actions, Git Ops workflows, and branching strategies Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders Bachelor's or Master's degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field<br><br>Preferred Skills:<br><br>Experience with agentic AI frameworks such as Lang Graph or similar orchestration tools for building multi-step AI workflows Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation Experience with Infrastructure as Code tools such as Terraform or Pulumi Experience designing data models, analytical pipelines, or BI/dashboard solutions Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials<br><br>What we offer:<br><br>A competitive compensation and benefits package The opportunity to lead AI, data science, and technology initiatives with real global impact A dynamic and supportive work environment that values leadership, innovation, and your contributions Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology<br><br>Application Process:<br><br>Candidates are invited to submit a resume, cover letter, and any relevant portfolio, Git Hub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br><br>Infomineo: Where brilliant minds meet to shape the future of business.

Job Description:<br><br>Backend Java Staff Engineer :<br><br>Role Description The Java TL / Staff Engineer owns API and integrations capabilities/teams. He/she should be hands-on team member who actively consults the team to solve complex problems independently and assure knowledge sharing. Core Responsibilities<br><br>▪ Prepare low-level designs for team members, in collaboration with Solution/Software Architect<br><br>▪ Guides project teams on technology strategy related to coding practices, continuous integration and automated deployment ▪ Be hands on and engage in coding to help the team to develop his solution and solve all surfacing problems at hand Identifies and removes technical impediments<br><br>▪ Thought partners with the Product owner in story creation and acceptance criteria, and communicate tradeoffs effectively with Designers<br><br>▪ Constantly looking for better ways of solving technical problems and designing the solution, not afraid of challenging the status quo<br><br>▪ Provides the team a roadmap for implementing software engineering practices for higher code quality<br><br>▪ Reporting to Senior Engineering Manager Key Skills 6-7 YoE, Seen as expert in developing backend integration and REST API using Spring framework Java/Kotlin, micro-service and native-cloud<br><br>▪ Can assist and support in making architecture decisions at a team and product level Domain Expertise<br><br>▪ Seasoned software developer Java, Kotlin, Spring-boot, Spring-cloud, Junit, NoSQL DB, In memory cache, API Gateway, Design-Patterns, Logging, Spring Security, Maven, with deep insight into newest technologies such as Python .<br><br>▪ Hands-on experience in production Cloud Docker, Dev Ops CI/CD environments<br><br>▪ Nice to have experience in Azure Pipelines, Jenkins, Kubernetes, Open API, Gradle, and Linux shell-scripting.<br><br>▪ Knowledge in any other languages such as Node JS, GoLang, and/or Python a plus Agile/Digital Experience Experience in Agile Development, with specific Solution Architect (or similar) experience preferred<br><br>▪ Understands relationship with Product Owner, Scrum Master, Design and Quality<br><br>▪ Experience managing technical priorities within the Backlog Individual Skills<br><br>▪ Strong communication skills with ability to align the organization on complex technical decisions<br><br>▪ Active coach and mentor whose goals are to grow and maximize the team's potential<br><br>▪ Strong leadership skills mainly inspirational and team-forming capabilities Mindset & Behaviors<br><br>▪ High energy and passionate individual who inspires teammates to reach their maximum potential<br><br>▪ Excited about trying new solutions outside standard approved<br><br>▪ Embraces a culture of trust, free thought complete transparency<br><br>▪ Brave and rebellious, willing to challenge status quo<br><br>Requirements<br><br>Job Special Requirements-<br><br>6-7 Years of experience, Seen as expert in developing backend integration and REST API using Spring framework Java/Kotlin, micro-service and native-cloud<br><br>▪ Seasoned software developer Java, Kotlin, Spring-boot, Spring-cloud, Junit, NoSQL DB, In memory cache, API Gateway, Design-Patterns, Logging, Spring Security, Maven, with deep insight into newest technologies such as Python .<br><br>▪ Hands-on experience in production Cloud Docker, Dev Ops CI/CD environments<br><br>▪ Nice to have experience in Azure Pipelines, Jenkins, Kubernetes, Open API, Gradle, and Linux shell-scripting.<br><br>▪ Knowledge in any other languages such as Node JS, GoLang, and/or Python a plus Agile/Digital Experience Experience in Agile Development, with specific Solution Architect (or similar) experience preferred<br><br>▪ Understands relationship with Product Owner, Scrum Master, Design and Quality

Job Description :<br><br>Senior Backend Java Engineer Summary of role :<br><br>▪ The Java Developer contributes to the backend API technology stack,<br><br>▪ The Java Dev works with the product and design teams to understand end-user requirements and use cases and translate them pragmatic and effective technical solutions.<br><br>▪ As well as improvements to Dev Ops tooling Key responsibilities<br><br>▪ Shaping and implementing technology / business solutions to contribute to client organization's competitive differentiation<br><br>▪ Uses various software development technologies to rapidly develop creative and efficient solutions that enhance client organization's technology stack<br><br>▪ Collaborates with other team members to implement user stories, write tests, and continuously deliver new / improved product functionality<br><br>▪ Communicates with internal IT teams to resolve technical dependencies during implementation<br><br>▪ Reporting to Engineering Manager / Senior Engineering Manager Key responsibilities and background 4-6 years history of total software development experience.<br><br>▪ Bachelor's degree in Computer Science or similar, advanced degree preferred with outstanding record of academic achievement.<br><br>▪ Experience working in JVM based programming languages like Java 8+, Kotlin and/or modern backend frameworks like Spring-Boot.<br><br>▪ Significant experience writing, utilizing and securing RESTful API services in large scale distributed applications.<br><br>▪ Experience with microservice architectures, including understanding of service discovery and circuit breakers.<br><br>▪ Experience with relational and non-relational databases (e.g., Oracle, Postgre SQL, MySQL/Maria DB, Mongo DB, Couch DB, Cassandra, Elasticsearch ... etc.).<br><br>▪ Experience in build scripts Maven, Gradle, CI Jenkins and/or Azure Pipelines.<br><br>▪ Experience in engineering practices such as code refactoring, design patterns, test driven development, continuous integration, building highly scalable applications, application security.<br><br>▪ Experience in container technologies like Docker / Kubernetes a plus.<br><br>▪ Experience in agile development methodologies<br><br>▪ Knowledge in any other languages such as Node JS, Go-Lang, and/or Python a plus<br><br>Requirements<br><br>Job Special Requirements- Mandatory Questions :<br><br>Graduation Year & Grade :<br><br>Proven Years of Experience after graduation excluding Part time & Internship ( By Insurance or Experience letter ) :<br><br>How many years of experience in java?<br><br>How many years of experience in spring FW?<br><br>How many years of experience in microservices?<br><br>Do you have knowledge about Camunda?<br><br>Do you have knowledge about docker?<br><br>Notice period ?<br><br>New Cairo Location is ok ?<br><br>Noting that we need from 3 to 7 years of experience and here is the title: Engineer III: 4 to 5 years

Job Description :<br><br>Mid-Level Backend Java Engineer:<br><br>Summary of role ▪ The Java Developer contributes to the backend API technology stack,<br><br>▪ The Java Dev works with the product and design teams to understand end-user requirements and use cases and translate them pragmatic and effective technical solutions.<br><br>▪ As well as improvements to Dev Ops tooling Key responsibilities<br><br>▪ Shaping and implementing technology / business solutions to contribute to client organization's competitive differentiation ▪ Uses various software development technologies to rapidly develop creative and efficient solutions that enhance client organization's technology stack<br><br>▪ Collaborates with other team members to implement user stories, write tests, and continuously deliver new / improved product functionality<br><br>▪ Communicates with internal IT teams to resolve technical dependencies during implementation<br><br>▪ Reporting to Engineering Manager / Senior Engineering Manager Key responsibilities and background ▪3 years history of total software development experience.<br><br>▪ Bachelor's degree in Computer Science or similar, advanced degree preferred with outstanding record of academic achievement.<br><br>▪ Experience working in JVM based programming languages like Java 8+, Kotlin and/or modern backend frameworks like Spring-Boot .<br><br>▪ Significant experience writing, utilizing and securing RESTful API services in large scale distributed applications .<br><br>▪ Experience with microservice architectures, including understanding of service discovery and circuit breakers.<br><br>▪ Experience with relational and non-relational databases (e.g., Oracle, Postgre SQL, MySQL/Maria DB, Mongo DB, Couch DB, Cassandra, Elasticsearch ... etc.).<br><br>▪ Experience in build scripts Maven, Gradle, CI Jenkins and/or Azure Pipelines.<br><br>▪ Experience in engineering practices such as code refactoring, design patterns, test driven development, continuous integration, building highly scalable applications, application security.<br><br>▪ Experience in container technologies like Docker / Kubernetes a plus.<br><br>▪ Experience in agile development methodologies<br><br>▪ Knowledge in any other languages such as Node JS, Go-Lang, and/or Python a plus<br><br>Requirements<br><br>Job Special Requirements- Mandatory Questions<br><br>Graduation Year & Grade :<br><br>Proven Years of Experience after graduation excluding Part time & Internship ( By Insurance or Experience letter )<br><br>How many years of experience in java?<br><br>How many years of experience in spring FW?<br><br>How many years of experience in microservices?<br><br>Do you have knowledge about Camunda?<br><br>Do you have knowledge about docker?<br><br>Notice period ?<br><br>New Cairo Location is ok ?<br><br>Noting that we need from 3 to 7 years of experience and here is the title: Engineer II : 3 years (Mid Level)

<p><strong>Job Overview</strong></p><p>We are seeking a highly motivated and detail-oriented individual to join our team as a PMS Installer.&nbsp;</p><p>In this role, you will be responsible for the seamless implementation, configuration, and maintenance of our Property Management Systems for our clients.&nbsp;</p><p>You will serve as a primary point of contact for Japanese-speaking partners, ensuring that system installations meet our rigorous technical standards while providing exceptional support during the onboarding process.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul><li>Execute end-to-end installation and configuration of PMS software at client properties.</li><li>Provide technical training and support to staff members, ensuring they are proficient in utilizing the system features.</li><li>Liaise between technical development teams and Japanese-speaking stakeholders to translate requirements and resolve implementation hurdles.</li><li>Perform on-site and remote troubleshooting to resolve installation errors and system performance issues.</li><li>Maintain comprehensive documentation of system configurations, user manuals, and project progress reports.</li><li>Conduct regular system audits to ensure compliance with company protocols and operational efficiency.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Technology, Hospitality Management, or a related field.</li><li>Fluency in both written and spoken Japanese and English is mandatory.</li><li>Strong understanding of software installation processes and general IT infrastructure.</li><li>Ability to interpret technical requirements and translate them into actionable implementation plans.</li><li>Excellent communication skills with the ability to build professional relationships with international stakeholders.</li><li>Willingness to travel to client sites as required for system setups.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Technical proficiency in software deployment and database management.</li><li>Exceptional problem-solving abilities and a proactive approach to technical challenges.</li><li>High level of cultural competency, specifically in relation to Japanese business etiquette.</li><li>Strong time management skills with the ability to handle multiple installations simultaneously.</li><li>Proficiency in Microsoft Office Suite and project management tracking tools.</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Competitive salary package with performance-based incentives.</li><li>Comprehensive health insurance coverage.</li><li>Professional development programs and access to ongoing technical training.</li><li>Dynamic, multicultural work environment with opportunities for international exposure.</li><li>Supportive office culture with team-building events and career progression paths.</li></ul>

About the Role<br>We are looking for a Senior Software Engineer to join our engineering team. You will design, build, and maintain scalable backend systems, working across the full software development lifecycle from architecture through deployment. This role is ideal for an experienced engineer who enjoys solving complex problems, mentoring others, and driving technical excellence — including exploring how AI agents and agentic workflows can accelerate engineering and product delivery.<br>What You'll Do<br>- Design, develop, and maintain robust, scalable backend services using Java and Spring Boot- Build and maintain RESTful APIs that power internal and external applications- Design and optimize relational database schemas and queries using SQL (Oracle and/or Postgre SQL)- Design, build, and integrate agentic AI systems — LLM-powered agents, tool-calling workflows, and multi-step autonomous or semi-autonomous processes — into product and engineering workflows- Evaluate and apply AI coding assistants and agent frameworks to improve developer productivity and software quality- Collaborate with product managers, architects, and cross-functional teams to translate business requirements into technical solutions- Write clean, maintainable, well-tested code and participate in code reviews- Troubleshoot, debug, and resolve production issues in a timely manner- Contribute to system design discussions and architectural decisions, including where agentic/AI components fit into the broader architecture- Mentor junior engineers and help raise the technical bar across the team- Participate in Agile/Scrum ceremonies (sprint planning, standups, retrospectives)<br>What We're Looking For<br>- 5+ years of professional software development experience- Strong hands-on experience with Java and the Spring Boot framework- Proven experience designing and building REST APIs- Solid experience with SQL and relational databases (Oracle and/or Postgre SQL)- Hands-on experience building or integrating agentic AI systems — e.g., LLM tool-use/function-calling, multi-agent orchestration, RAG pipelines, or autonomous task execution (frameworks such as Lang Chain, Lang Graph, Claude Agent SDK, Auto Gen, Semantic Kernel, or similar)- Practical experience using AI-assisted development tools (e.g., Claude Code, Git Hub Copilot, or similar) in a professional engineering workflow- Strong understanding of object-oriented design principles and software architecture patterns- Experience with version control systems (e.g., Git) and CI/CD pipelines- Familiarity with unit testing and test-driven development practices- Excellent problem-solving skills and attention to detail- Strong communication skills and ability to work collaboratively in a team environment<br>Nice to Have<br>- Experience with microservices architecture- Familiarity with cloud platforms (AWS, Azure, or GCP)- Experience with containerization tools (Docker, Kubernetes)- Exposure to message queues (Kafka, Rabbit MQ, etc.)- Experience with performance tuning and query optimization- Experience with prompt engineering, LLM evaluation/observability, or AI governance/safety practices<br>Qualifications<br>- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Designs, builds, and operates production-grade Java microservices on Spring Boot.<br> Owns the full delivery lifecycle: API design, data modelling, messaging, observability, CI/CD, and on-call support.<br> Collaborates closely with Product, QA, and SRE teams to deliver reliable, scalable services.<br> Provides architectural guidance, makes key technical decisions, and mentors other developers.<br> The role involves ensuring best practices, optimizing performance, and aligning technical solutions with business goals while building secure, high-performing distributed systems.<br> Role and Responsibilities : Design and implement high-performance, scalable microservices using Java 17+ and Spring Boot Own end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specifications Architect microservices following bounded contexts, saga patterns, and proper service decomposition Enforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediation Integrate and manage event-driven systems using Apache Kafka Optimize application performance through JVM tuning, caching strategies, profiling, and latency reduction Optimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysis Manage and optimize scalable distributed systems in the cloud (AWS) Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions) Utilize scripting languages (Python, Node.<br>js) for tooling, automation, and auxiliary services Participate in on-call rotations and production incident resolution Conduct code reviews and mentor less-experienced engineers Communicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmap Leverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows Drive automation using AI across the software lifecycle — design, development, testing, support, log analysis, and ticket summarization Produce quality code, raising the bar for team performance and speed Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.<br> At least 5+ years of professional experience building backend services in Java Proven track record designing and operating production microservices at scale Experience with distributed systems, eventual consistency, and fault tolerance Experience with Agile/Scrum practices (sprint planning, estimation, retrospectives) Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var) Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties) Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS) Strong microservices architecture experience (bounded contexts, sagas, decomposition) Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management) Solid understanding of concurrency and threading (Executors, CompletableFuture, locking) Experience with event-driven architectures using Apache Kafka Performance optimization skills (JVM tuning, caching, profiling, latency reduction) Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage) Growth mindset that challenges the status quo and focuses on continuous improvement</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Architecture &amp; Design Collaborate with senior engineers and the Backend Lead to design scalable, maintainable, and modular backend systems for SaaS products. Contribute to the design of APIs, databases, and backend services while considering performance, security, and maintainability. Participate in technical discussions regarding frameworks, tools, and architectural improvements. Development &amp; Implementation Develop and maintain production-grade server-side applications using technologies such as Python, Django Build and maintain RESTful APIs, business logic, and integrations with internal and external systems. Implement background jobs, scheduled tasks, and event-driven processes where required. Troubleshoot and resolve application issues, bugs, and performance concerns. Quality, Testing &amp; Code Review Write and maintain unit, integration, and automated tests to ensure application reliability and code quality. Participate in peer code reviews and incorporate feedback to improve development standards. Follow established coding guidelines, documentation practices, and development processes. Performance &amp; Optimization Assist in monitoring application performance and identifying areas for improvement. Implement basic optimization techniques, including database query tuning, caching, and efficient resource utilization. Work with DevOps and senior engineers to support deployments and maintain production environments. Security &amp; Reliability Follow secure coding practices and company security standards. Implement authentication, authorization, validation, and error-handling mechanisms. Support monitoring, logging, and troubleshooting efforts to maintain system reliability and availability. Collaboration &amp; Product Engagement Work closely with Product Owners, Frontend Developers, QA Engineers, and UX/UI Designers to deliver product features. Participate in sprint planning, estimation, and technical discussions. Communicate technical challenges, risks, and progress to relevant stakeholders. Documentation &amp; Knowledge Sharing Document APIs, technical implementations, and development processes. Share knowledge with team members and contribute to internal technical discussions. Stay updated on backend development trends, tools, and best practices to continuously improve technical skills.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Software Engineering, or related field (or equivalent experience). 3+ years of professional backend development experience in SaaS / enterprise software. Proven experience building and maintaining large-scale, distributed backend systems. Technical &amp; Soft Skills Strong proficiency in at least one backend language (e.g., Python, Django) Deep experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). Knowledge of containerization (Docker), container orchestration (e.g., Kubernetes), and cloud infrastructure (AWS, Azure, or GCP). Experience designing and building RESTful APIs or GraphQL services. Strong problem-solving skills, with a logical and structured approach to design and architecture. Excellent communication skills - able to convey technical ideas to non-technical stakeholders. High attention to detail and commitment to code quality, testing, and documentation. Knowledge Brokers and Messaging Queues ( RabbitMQ)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Valleysoft is a regional IT services provider delivering enterprise technology solutions, application development, process management, and IT support services for clients globally.<br> Working across the Information Technology and Services sector, the company supports organizations with the systems and operational expertise they rely on to run critical business processes effectively.<br> In this role, you will help maintain the stability, performance, and readiness of banking applications that support key business domains.<br> You will work closely with internal technology teams, external suppliers, and development stakeholders to support application operations, resolve issues, and contribute to the ongoing improvement of business-critical platforms.<br> Responsibilities Support Dynatrace application activities.<br> Monitor and analyze banking applications performance to enhance and support business processes for specific business domains.<br> Investigate application errors related to servers or databases using the required view access as the first layer accountable for application readiness.<br> Raise hardware or database-related issues to the concerned team.<br> Evaluate, implement, administer, and tune banking applications.<br> Manage relationships with third-party application suppliers and meet established service level agreements.<br> Coordinate with IT Architecture, Demand Management, project management, and QA teams during project planning and execution related to banking applications.<br> Implement changes related to the applications and engage other resources when needed.<br> Implement data protection and compliance policies related to banking applications and coordinate with IT Security.<br> Analyze problems related to supported banking applications and coordinate with designated vendors.<br> Cooperate with application developers on web interfaces related to different applications.<br> Coordinate with IT teams during project execution related to banking applications.<br> Support development teams during implementation and transfer business knowledge.<br> Analyze new releases of third-party applications.<br> Qualifications &amp; Experience: University Degree Holder in Computing / IT or equivalent industry experience.<br> Senior Analyst: Minimum 3-6 years of Information Technology Area experience in IT Application experience, preferably in a Banking and Finance environment Analyst: Minimum 1-3 years of Information Technology Area experience in IT Application experience, preferably in a Banking and Finance environment Knowledge of specific 3rd party application deployed in Bank Environment Knowledge of Business processes supported by 3rd party applications Knowledge of Supplier Management Process Requirements gathering (data and process) and application solution design Knowledge of Release and Deployment Management process Skills: Customer oriented Communication skills Creative thinking Understanding of the environment Ability to learn and innovate Teamwork player</span> </div>

Business Analyst Employment Type Full-Time<br>Job Purpose<br>The Business Analyst is responsible for bridging the gap between business needs and technology solutions. The role involves gathering, analyzing, documenting, and managing business and system requirements throughout the Software Development Life Cycle (SDLC).<br>The Business Analyst works closely with clients, business stakeholders, Product Owners, Project Managers, UI/UX Designers, Developers, QA Engineers, and other technical teams to ensure that requirements are clearly understood, properly documented, technically feasible, and successfully translated into high-quality software solutions.<br>Key Responsibilities1. Business & Requirements Analysis Gather and analyze business requirements from clients, users, and stakeholders through meetings, interviews, workshops, and document analysis. Understand business objectives, operational processes, customer needs, problems, and improvement opportunities. Analyze existing processes and systems and identify gaps, inefficiencies, risks, and areas for improvement. Define and document As-Is and To-Be processes. Conduct Gap Analysis and Impact Analysis. Translate business needs into clear, structured, and actionable functional requirements. Identify functional and non-functional requirements. Define business rules, validations, workflows, user roles, permissions, and expected system behavior. Ensure requirements are complete, consistent, measurable, feasible, and testable. Identify assumptions, dependencies, constraints, and risks related to requirements.2. Requirements Documentation Prepare and maintain professional requirements documentation. Develop Business Requirements Documents (BRD), Functional Requirements Documents (FRD), and/or Software Requirements Specifications (SRS) as required. Create detailed User Stories and clear Acceptance Criteria. Prepare Use Cases, business scenarios, process flows, and workflow diagrams. Document business rules, data requirements, system behavior, and integration requirements. Maintain requirements traceability throughout the project lifecycle. Keep all documentation updated following approved changes.3. User Stories & Product Backlog Convert business requirements into clear and actionable User Stories. Define acceptance criteria covering functional and business scenarios. Identify dependencies and relationships between requirements. Work with Product Owners and Product Managers to refine, prioritize, and maintain the Product Backlog. Participate in Backlog Refinement and ensure User Stories are sufficiently detailed before development. Clarify requirements and business rules for Development and QA teams. Review completed features against approved requirements and acceptance criteria. Support prioritization of features based on business value, customer needs, and project priorities.4. Agile & Scrum Participate in Agile/Scrum ceremonies including:Sprint Planning Daily Stand-ups Backlog Refinement Sprint Review Sprint Retrospective Provide business and functional clarification throughout development. Support the Scrum Master and Product Owner in maintaining an organized and actionable backlog. Identify and escalate requirement-related blockers. Contribute to continuous improvement of the product development and requirements management process.5. Business Process Analysis Analyze and document business workflows and operational procedures. Identify bottlenecks, duplicated activities, manual processes, and inefficiencies. Design optimized To-Be processes aligned with business objectives. Create process maps and workflow diagrams using appropriate tools and methodologies such as BPMN. Assess the impact of proposed software solutions on existing business processes.6. Software & System Analysis Analyze software requirements from both business and functional perspectives. Develop a strong understanding of system functionality and major software components. Understand system integrations, data flows, APIs, and dependencies at a functional level. Define integration requirements, data inputs/outputs, validations, and expected behavior. Understand basic database concepts and data relationships. Use SQL when required for data validation, investigation, and analysis. Collaborate with Developers, Technical Leads, and Architects to clarify functional requirements. Ensure business requirements are technically understandable and aligned with the proposed solution.7. UI/UX Collaboration Work closely with UI/UX Designers to translate business requirements into effective user experiences. Review wireframes, prototypes, user journeys, and designs against business requirements. Ensure all required user actions, scenarios, validations, and business rules are reflected in the design. Provide functional clarification to UI/UX teams. Identify missing or unclear scenarios before development.8. Quality Assurance & UATWork closely with QA Engineers throughout the testing lifecycle. Ensure requirements and Acceptance Criteria provide sufficient information for test-case development. Review test scenarios against approved requirements. Support QA teams in understanding expected system behavior. Analyze requirement-related defects and clarify whether issues are defects, requirement gaps, or change requests. Support User Acceptance Testing (UAT). Coordinate with business stakeholders during UAT. Review UAT feedback and coordinate required changes with relevant teams. Verify that delivered functionality meets approved requirements.9. Client & Stakeholder Management Act as a communication bridge between business stakeholders and technical teams. Conduct requirements workshops and discovery sessions with clients. Understand and manage stakeholder expectations. Communicate complex technical concepts in clear business language. Resolve requirement conflicts, gaps, and ambiguities through structured analysis and stakeholder discussions. Obtain clarification, confirmation, and approval of requirements when required. Maintain effective professional relationships with clients and internal stakeholders.10. Change & Scope Management Identify, document, and assess changes to approved requirements. Perform impact analysis on scope, timeline, resources, cost, functionality, and dependencies. Coordinate Change Requests with Product, Project Management, and technical teams. Identify and escalate unauthorized scope changes. Maintain records of approved and rejected changes. Update User Stories and related documentation following approved changes.11. Data Analysis & Reporting Analyze business and operational data to support decision-making. Identify trends, issues, anomalies, and improvement opportunities. Define requirements for reports, dashboards, KPIs, and business metrics. Validate system reports against approved business requirements. Work with technical teams to clarify reporting logic and calculations. Use Excel, SQL, or other analytical tools when required.12. Documentation & Knowledge Management<br>Maintain accurate and up-to-date project documentation, including:<br>BRD / FRD / SRSUser Stories Acceptance Criteria Use Cases Business Rules Process Flows Data Requirements UAT Documentation Change Requests Requirements Traceability<br>Ensure that documentation accurately reflects the current product and is accessible to relevant stakeholders.<br>Qualifications & Experience Bachelor's degree in Business Administration, Information Systems, Computer Science, Software Engineering, Engineering, MIS, or a related field.3–5 years of proven experience as a Business Analyst, preferably within a software development company, technology company, Saa S environment, or digital transformation project. Strong experience in software requirements gathering, analysis, and documentation. Practical experience working with Agile/Scrum development teams. Experience working directly with Developers, QA Engineers, Product Owners, and business stakeholders. Client-facing requirements-gathering experience is highly preferred. Technical Skills Business Analysis Requirements Gathering & Analysis Business Process Analysis Gap Analysis Root Cause Analysis Impact Analysis As-Is / To-Be Analysis Business Rules Process Optimization Stakeholder Analysis Requirements Engineering Functional & Non-Functional Requirements User Stories Acceptance Criteria Use Cases Requirements Traceability Requirements Prioritization Change Management Agile & Product Agile Methodologies Scrum Product Backlog Sprint Planning Backlog Refinement MVP Concepts Product Requirements Software & Technical Knowledge SDLCWeb & Mobile Applications Basic Software Architecture Understanding APIs & System Integrations Data Flow Database Concepts Basic to Intermediate SQLFunctional Testing & UATModeling & Documentation BPMNUMLUse Case Diagrams Activity Diagrams Process Flow Diagrams User Flows Wireframes Tools<br>Experience with the following tools is preferred:<br>Jira Confluence Microsoft Excel Microsoft Word Microsoft Visio Draw.io Lucidchart Figma Postman SQL Tools Soft Skills Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Strong attention to detail. Excellent documentation and presentation skills. Strong stakeholder management capabilities. Ability to understand complex business problems and translate them into software requirements. Strong negotiation and conflict-resolution skills. Excellent organization and time-management skills. Ability to manage multiple projects and priorities. Proactive, structured, and solution-oriented mindset. Ability to work independently and within cross-functional teams. Strong customer and business-oriented approach. Ability to work effectively under pressure and meet deadlines. Preferred Certifications<br>The following certifications are considered an advantage:<br>IIBA – ECBA / CCBA / CBAPPMI-PBACertified Scrum Product Owner (CSPO) Professional Scrum Product Owner (PSPO) Other recognized Business Analysis, Agile, or Product Management certifications.

Role Description This is a full-time, on-site role based in El Sheikh Zaid, for the Back-End Developer. We are looking for a highly skilled PHP Developer to design, develop, and maintain robust web applications. The ideal candidate will have strong technical expertise in PHP, a solid understanding of backend architecture, and the ability to lead by example through code quality, problem-solving, and mentoring junior developers.<br>Requirements4+ years of professional experience in PHP development Strong experience with PHP frameworks (Laravel preferred) Excellent understanding of Object-Oriented Programming (OOP) Solid knowledge of MySQL, database design, and performance optimization Experience building and consuming RESTful APIsExperience with Mongo DBExperience with Docker Familiarity with HTML, CSS, Java Script Experience with Linux-based environments Knowledge of security best practices (authentication, authorization, data protection) Understanding of CI/CD concepts and deployment workflows Proficient in version control systems (Git) Experience with Elasticsearch is a plus<br>Responsibilities:Design, develop, test, and maintain scalable web applications using PHPWork extensively with PHP frameworks such as Laravel or Symfony Develop and maintain RESTful APIs and backend services Ensure high performance, security, and responsiveness of applications Optimize database structures and queries using MySQLApply OOP principles, MVC architecture, and design patterns Collaborate closely with frontend developers, QA, product owners, and stakeholders Participate in system architecture and technical decision-making Review code, enforce coding standards, and ensure best practices Mentor and support junior and mid-level developers Troubleshoot, debug, and resolve complex technical issues Integrate third-party APIs and services Participate in deployment processes and CI/CD pipelines Write and maintain technical documentation when needed

Role Description This is a full-time, on-site role based in El Sheikh Zaid, for the Back-End Developer. We are looking for a highly skilled PHP Developer to design, develop, and maintain robust web applications. The ideal candidate will have strong technical expertise in PHP, a solid understanding of backend architecture, and the ability to lead by example through code quality, problem-solving, and mentoring junior developers.<br>Requirements4+ years of professional experience in PHP development Strong experience with PHP frameworks (Laravel preferred) Excellent understanding of Object-Oriented Programming (OOP) Solid knowledge of MySQL, database design, and performance optimization Experience building and consuming RESTful APIsExperience with Mongo DBExperience with Docker Familiarity with HTML, CSS, Java Script Experience with Linux-based environments Knowledge of security best practices (authentication, authorization, data protection) Understanding of CI/CD concepts and deployment workflows Proficient in version control systems (Git) Experience with Elasticsearch is a plus<br>Responsibilities:Design, develop, test, and maintain scalable web applications using PHPWork extensively with PHP frameworks such as Laravel or Symfony Develop and maintain RESTful APIs and backend services Ensure high performance, security, and responsiveness of applications Optimize database structures and queries using MySQLApply OOP principles, MVC architecture, and design patterns Collaborate closely with frontend developers, QA, product owners, and stakeholders Participate in system architecture and technical decision-making Review code, enforce coding standards, and ensure best practices Mentor and support junior and mid-level developers Troubleshoot, debug, and resolve complex technical issues Integrate third-party APIs and services Participate in deployment processes and CI/CD pipelines Write and maintain technical documentation when needed

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

Company Description RED | Real Estate Domain provides a modern, data-backed approach to real estate, serving buyers, developers, and sellers across key areas including New Cairo, New Capital, Sheikh Zayed, October, North Coast, Ain Sokhna, and the Red Sea. The company follows an end-to-end method, combining expert industry advice with statistics, technology, and selective value-added services to support informed decisions. RED’s customer-focused journey is designed to make real estate transactions faster, easier, and more transparent through first-hand information and technology applications. The company collaborates with a wide network of credible developers such as Palm Hills, Sodic, Hassan Allam, Mountain View, LMD, Emaar, Ora, Orascom, City Edge, Hyde Park, Tatweer Misr, Marakez, La Vista, MNHD, and Imkan, covering both residential and commercial projects. Role Description This is a full-time, on-site Property Consultant role based in Qesm Heliopolis. The Property Consultant will guide clients through the entire real estate process, including understanding their needs, presenting suitable residential and commercial options, arranging property viewings, and providing data-backed market insights. The role involves building and maintaining relationships with clients and developers, negotiating offers, and supporting clients through closing and post-sale follow-up. The Property Consultant will use RED’s technology tools and internal databases to prepare proposals, update listings, and ensure all client information and transactions are accurately documented. The role also includes staying informed about market trends, new projects, and developer offerings to deliver up-to-date, reliable advice. Qualifications Client relationship and communication skills, including active listening, clear presentation, and professional negotiation abilities. Sales and business development capabilities, such as lead generation, pipeline management, and closing deals in a competitive market. Market research and analytical skills to interpret property data, pricing trends, and investment potential for different areas and projects. Organizational and time-management skills to handle multiple clients, property viewings, and documentation efficiently. Comfort using CRM systems, digital tools, and basic office software to manage listings, client records, and reporting. Prior experience in real estate sales or consulting is highly beneficial; experience with major developers or in the Egyptian market is a plus. Strong ethical standards, professional appearance, and the ability to work on-site and in the field as required. Bachelor’s degree in Business, Marketing, Real Estate, or a related field is preferred but not mandatory for highly qualified candidates.

Role Purpose We are seeking an experienced Solution Architect to drive the design and governance of enterprise-grade technology solutions. The role is responsible for defining solution architectures, establishing technical standards, and ensuring the successful delivery of scalable, secure, and high-performing systems that align with business objectives and long-term technology strategy. Key Responsibilities Architecture & Solution Design Design and oversee end-to-end system architecture for enterprise applications and digital platforms. Ensure scalability, security, performance, maintainability, and integration across software solutions. Define technical standards, architecture principles, design patterns, and development best practices. Develop architectural blueprints, solution designs, and technical roadmaps. Technical Leadership Guide development teams in implementing approved architectural approaches and standards. Conduct architecture reviews and technical assessments to ensure quality and consistency. Review code, solution designs, and system integrations to identify risks and improvement opportunities. Provide mentorship and technical leadership to software engineering teams. Technology Strategy Evaluate, recommend, and select appropriate technologies, frameworks, and tools. Drive adoption of modern software development practices, cloud-native technologies, and automation. Establish architectural governance and technology standards across projects and platforms.<br>Stakeholder Management Collaborate closely with Engineering, Product, Business, Operations, and Project teams. Translate business requirements into scalable and sustainable technical solutions. Participate in project planning, technical workshops, and strategic technology discussions. Requirements Education & Experience Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.8+ years of hands-on software development experience using Microsoft technologies. Proven experience in Solution Architecture, Technical Architecture, or Lead Software Engineering roles. Technical Skills Strong expertise in C#, . NET Framework, . NET Core/. NET 8+, ASP. NET MVC, Web APIs, and Enterprise Application Development. Extensive experience designing and delivering scalable enterprise applications and distributed systems. Strong knowledge of Microservices Architecture, RESTful APIs, and System Integration. Advanced understanding of Software Architecture, OOP, SOLID Principles, Design Patterns, and Engineering Best Practices. Experience with Microsoft Azure and cloud-native architecture approaches. Strong knowledge of SQL Server, database architecture, and performance optimization. Experience with messaging and integration technologies such as Rabbit MQ, Azure Service Bus, Kafka, or similar. Familiarity with Docker, Kubernetes, and containerized application architecture. Experience with CI/CD pipelines, Dev Ops practices, and modern software delivery methodologies. Preferred Qualifications Microsoft Azure certifications (Azure Solutions Architect, Azure Developer, or equivalent). Experience with Domain-Driven Design (DDD), CQRS, and Event Sourcing. Experience leading architecture decisions across multiple products and platforms. Exposure to Smart Cities, Digital Transformation, AI Solutions, ERP Integrations, or Enterprise ICT projects. Experience working within enterprise, government, or large-scale technology environments. Soft Skills Strong stakeholder management and communication skills. Excellent analytical and problem-solving abilities. Ability to influence technical decisions across multiple teams and projects. Strong leadership and mentoring capabilities.