frontend developer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software and hardware emulation.
 
 
 
 Position Overview
 
 
 
 This role provides a unique opportunity for a full-stack developer skilled in enterprise infrastructure operations. You will work as part of our global Platform Engineering team, simplifying self-service and operations for our global engineering infrastructure.
 
 
 
 Key Responsibilities
 
 
 
 As Senior Software Engineer with 13-15 years' experience, your responsibilities will include:
 
 
 <ul>
 <li>
 Backend services: Design, implement, and operate platform components with an emphasis on reliability, performance, and long-term maintainability
 </li>
 <li>
 APIs: Build and evolve and control-plane services using TypeScript and Go for internal and external consumers
 </li>
 <li>
 Product owner: Own features end-to-end, from technical design and implementation through production rollout, monitoring, and iterative improvement
 </li>
 <li>
 System design: Contribute to discussions, evaluating trade-offs between simplicity, scalability, and operational complexity
 </li>
 <li>
 Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, and deployment workflows
 </li>
 <li>
 Code quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation
 </li>
 <li>
 Infrastructure Design &amp; Implementation: Design, provisioning, and management of highly available, scalable, and secure cloud infrastructure (e.g., AWS, Azure, GCP, OpenStack) using Infrastructure as Code (IaC) principles
 </li>
 <li>
 Automation &amp; CI/CD: Develop, maintain, and optimize robust CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) to automate software delivery, testing, and deployment processes
 </li>
 <li>
 Containerization &amp; Orchestration: Design, implement, and manage containerized application platforms using Docker and Kubernetes, ensuring efficient resource utilization and operational stability
 
 
 </li>
 </ul>
 
 Technical Experience
 
 
 
 
 Backend &amp; Systems
 
 
 
 <ul>
 <li>
 Hands-on experience building backend services in Python/Go and TypeScript, including APIs, background workers, and internal platform tooling
 </li>
 <li>
 Practical understanding of distributed systems concepts such as failure handling, retries, idempotency, and eventual consistency
 
 
 </li>
 </ul>
 
 Frontend &amp; Full-Stack
 
 
 
 <ul>
 <li>
 Advanced TypeScript experience building and maintaining production-grade applications
 </li>
 <li>
 Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns
 </li>
 <li>
 Strong focus on developer experience and maintainable, scalable frontend codebases
 
 
 </li>
 </ul>
 
 APIs &amp; Developer Experience
 
 
 
 <ul>
 <li>
 Design and implementation of well-structured REST APIs with clear versioning, consistent error handling, and thorough documentation
 </li>
 <li>
 Development of internal tools, SDKs, and CLIs that improve developer productivity and reduce operational friction
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 13-15 years of professional, enterprise software engineering experience shipping and operating production systems
 </li>
 <li>
 Strong proficiency in TypeScript and Go in real-world production environments
 </li>
 <li>
 Experience building and maintaining applications with Next.js
 </li>
 <li>
 Solid understanding of distributed systems and cloud-native architectures
 </li>
 <li>
 Proven ability to own and deliver complex features from design through production
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly
 
 
 </li>
 </ul>
 
 Why Us?
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Our Benefits &amp; Rewards
 
 
 
 The salary range for this position is 44,000
 
 to 60
 
 ,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: Benefits | Siemens Digital Industries Software
 
 
 
 Our Commitment to Equity and Inclusion in our Diverse Global Workforce
 
 
 
 We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self.
 
 
 Transform the everyday with us.
 
 
 #SWSaaS
 
 
</div>

Software Engineer - Senior (Full Stack)

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 About The Role
 
 
 
 In this role, you will be part of our engineering team, working with a high-quality codebase and the latest tools, where you will develop your expertise as an expert in complex frontend development on iOS (Swift and SwiftUI) native platforms. Your primary focus will be on the development of mobile applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to a highly dynamic environment is required, where root cause analysis and rapid collaborative problem solving, sophisticated design, and the creation of quality products are required.
 
 
 <ul>
 <li>
 Design and build mobile applications for iOS.
 </li>
 <li>
 Ensure the performance, quality, and responsiveness of applications
 </li>
 <li>
 Collaborate with a team to define, design, and ship new features
 </li>
 <li>
 Identify and correct bottlenecks and fix bugs
 </li>
 <li>
 Help maintain code quality, organization, and automation
 </li>
 <li>
 Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products.
 </li>
 <li>
 Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution
 </li>
 <li>
 Dive into difficult problems and successfully deliver results on schedule
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Must have technical skills with at least 5 years of experience
 
 
 
 <ul>
 <li>
 Language: iOS (Swift) native
 </li>
 <li>
 Familiarity with cloud message APIs and push notification
 </li>
 <li>
 Web architecture: REST and RESTful APIs, micro-services
 </li>
 <li>
 Version control: GIT
 </li>
 <li>
 BSc/MSc in Engineering, Computer Science or relevant field
 
 
 
 </li>
 </ul>
 
 Nice To Have Technical Skills (Strongly Advised)
 
 
 
 <ul>
 <li>
 Containers: Docker, Kubernetes
 </li>
 <li>
 Caching, Redis server
 </li>
 <li>
 Scaling, Web load balancing
 </li>
 <li>
 Experience in a rapidly growing company in the fintech space is a plus
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Mobile IOS Engineer - Financial Services

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a talented
 
 Java Backend Developer
 
 to join our engineering team and contribute to building scalable, high-performance backend services for our digital banking platform.
 
 
 The ideal candidate will have strong experience in
 
 Java and Spring Boot
 
 , building
 
 microservices-based architectures
 
 , and developing secure, scalable APIs. You will work closely with product managers, architects, and frontend engineers to deliver reliable and efficient backend systems that power modern digital banking solutions.
 
 
 Key Responsibilities
 
 
 Backend Development
 
 <ul>
 <li>
 Design, develop, and maintain backend services using
 
 Java and Spring Boot
 
 .
 </li>
 <li>
 Build scalable
 
 microservices architectures
 
 supporting high-volume digital platforms.
 </li>
 <li>
 Develop and maintain
 
 RESTful APIs
 
 for internal and external integrations.
 </li>
 </ul>
 
 System Architecture
 
 <ul>
 <li>
 Contribute to system design and backend architecture decisions.
 </li>
 <li>
 Ensure high availability, performance, and scalability of backend services.
 </li>
 <li>
 Implement secure coding practices aligned with enterprise security standards.
 </li>
 </ul>
 
 Integration
 
 <ul>
 <li>
 Integrate backend services with internal systems and third-party platforms.
 </li>
 <li>
 Work with messaging systems such as
 
 Kafka
 
 or other event-driven technologies.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Collaborate closely with frontend developers, product managers, and QA teams.
 </li>
 <li>
 Participate in
 
 Agile/Scrum development processes
 
 .
 </li>
 </ul>
 
 Performance &amp; Quality
 
 <ul>
 <li>
 Write clean, maintainable, and testable code.
 </li>
 <li>
 Troubleshoot and optimize application performance.
 </li>
 <li>
 Ensure code quality through testing, code reviews, and CI/CD pipelines.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 3&ndash;7 years of experience in
 
 Java backend development
 
 .
 </li>
 <li>
 Strong experience with
 
 Spring Boot and microservices architecture
 
 .
 </li>
 <li>
 Proven experience building
 
 REST APIs
 
 .
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Java
 </li>
 <li>
 Spring Boot
 </li>
 <li>
 Microservices architecture
 </li>
 <li>
 RESTful API development
 </li>
 <li>
 SQL and relational databases (PostgreSQL, MySQL, or similar)
 </li>
 <li>
 Git version control
 </li>
 <li>
 Docker / containerization
 </li>
 <li>
 CI/CD pipelines
 </li>
 </ul>
 
 Security &amp; Integration
 
 <ul>
 <li>
 Authentication and authorization frameworks (
 
 OAuth2, JWT
 
 )
 </li>
 <li>
 API security best practices
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Ability to work in
 
 Agile environments
 
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 event-driven architectures
 
 (Kafka or similar)
 </li>
 <li>
 Experience with
 
 cloud platforms or container orchestration (Kubernetes)
 
 </li>
 <li>
 Experience building
 
 high-availability enterprise systems
 
 </li>
 <li>
 Experience in
 
 digital banking, fintech, or financial services platforms
 
 </li>
 </ul>
 
 
</div>

Java Backend Developer

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;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:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 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).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; 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.
 </li>
 <li>
 
 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&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as a
 
 Senior AI Software Engineer
 
 . In this role, you will take ownership of the design, development, and deployment of AI-powered web applications that serve our internal teams and global clients. You will lead technical initiatives, define architectural standards, and mentor junior engineers, while working across the full stack from application code to AI integration and cloud infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Application Development:
 
 
 <ul>
 <li>
 Architect and lead the development of scalable, production-grade web applications, primarily using Python (FastAPI) for the backend and React, Next.js, or Vue for the frontend, while remaining adaptable to other technologies based on project scope and requirements.
 </li>
 <li>
 Define and enforce coding standards, design patterns, and architectural best practices across the engineering team to ensure maintainability and scalability.
 </li>
 <li>
 Lead code reviews, provide technical feedback to junior engineers, and actively contribute to building a high-quality engineering culture.
 </li>
 <li>
 Collaborate with stakeholders and product teams to translate business requirements into robust technical solutions, owning features end-to-end.
 </li>
 </ul>
 
 
 
 
 
 AI &amp; LLM Integration:
 
 
 <ul>
 <li>
 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 and performance in production.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, and query optimization for large-scale enterprise use cases.
 </li>
 <li>
 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.
 </li>
 <li>
 Design and maintain robust REST API integrations with third-party AI services and enterprise SaaS platforms, ensuring data integrity and performance at scale.
 </li>
 <li>
 Implement LLM observability and monitoring strategies to ensure transparency, reliability, and continuous improvement of AI features in production environments.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; DevOps:
 
 
 <ul>
 <li>
 Lead the containerization and cloud deployment of applications, preferably on Google Cloud Platform (GCP) using GKE and Artifact Registry, while remaining open to other cloud environments based on project requirements.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools, applying GitOps principles and automated deployment workflows to ensure reliable and repeatable releases.
 </li>
 <li>
 Own the reliability and performance of production environments, proactively identifying bottlenecks and driving resolution of infrastructure and application issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in software engineering and AI development, with a proven track record of delivering production-grade web applications and AI-powered systems.
 </li>
 <li>
 Strong proficiency in Python and a backend framework (preferably FastAPI), with solid experience in a modern frontend framework such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, and production-grade AI service integration (e.g., OpenAI, Gemini, LangChain or equivalent), including observability and performance monitoring.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform (AWS, Azure, GCP, or equivalent), with familiarity with container orchestration and artifact management services.
 </li>
 <li>
 Proven experience designing and maintaining CI/CD pipelines using GitHub Actions or similar tools, with strong command of GitOps workflows and branching strategies.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate effectively with product teams and non-technical stakeholders.
 </li>
 <li>
 Experience integrating AI outputs into analytical workflows, dashboards, or data pipelines in a client delivery context.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, and embedding model optimization for production environments.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Developer or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

Data Analytics - Sr. Software Engineer with AI background - Cairo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;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:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 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).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; 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.
 </li>
 <li>
 
 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&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 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.
 </li>
 <li>
 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.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build 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.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 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.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software Engineer who can help us build a high performance, scalable e-commerce platform.
 
 
 
 
 You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

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