technical lead

Intellias

<div>
 
 
 Tech Lead Engineer &ndash; AI Registry &amp; Discovery Platform (AWS AgentCore)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Tech Lead Engineer
 
 to design and lead the implementation of an enterprise-grade
 
 AI Registry and Discovery Platform
 
 for AI agents, tools, and MCP services. This role focuses on service registration, metadata governance, semantic discovery, identity mapping, lifecycle management, and integration with the AWS AgentCore ecosystem.
 
 
 As a technical leader, you will drive the architecture and development of a scalable platform that enables secure discovery, governance, and lifecycle management of AI capabilities across the enterprise. You will collaborate with platform, security, and AI engineering teams to establish engineering standards, governance processes, and best practices for enterprise AI platforms.
 
 
 The ideal candidate has strong platform engineering expertise, experience building large-scale registry or catalog systems, and a deep understanding of cloud-native architectures, API security, metadata management, and distributed systems.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Tech Lead Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the architecture, design, and implementation of an enterprise AI Registry and Discovery Platform.
 </li>
 <li>
 Design and maintain metadata schemas for MCP servers, AI tools, and agent capabilities aligned with Canonical Contract standards.
 </li>
 <li>
 Build scalable backend services using Python, FastAPI, DynamoDB, and AWS-native technologies.
 </li>
 <li>
 Develop registration, discovery, approval, certification, and lifecycle management workflows for AI agents and MCP services.
 </li>
 <li>
 Design semantic discovery capabilities using vector search, embeddings, and relevance-ranking techniques.
 </li>
 <li>
 Integrate enterprise identity systems and implement Entra Agent ID mapping across AI ecosystems.
 </li>
 <li>
 Implement secure authentication and authorization using OAuth 2.0, JWT, and enterprise identity providers.
 </li>
 <li>
 Design governance processes for onboarding, approval, certification, versioning, deprecation, and retirement of AI services.
 </li>
 <li>
 Develop APIs supporting registry operations, metadata management, discovery services, and governance workflows.
 </li>
 <li>
 Implement secure credential and secret management using HashiCorp Vault and cloud-native security controls.
 </li>
 <li>
 Design observability, auditing, compliance, and operational monitoring capabilities across the registry platform.
 </li>
 <li>
 Collaborate with AI, platform, cloud, and security teams to establish registry standards, governance policies, and engineering best practices.
 </li>
 <li>
 Mentor engineers, provide technical leadership, and support architectural decision-making across the platform.
 </li>
 <li>
 Produce architecture documentation, implementation standards, and technical governance guidelines.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of backend or platform engineering experience.
 </li>
 <li>
 Experience designing and building enterprise-scale registry, catalog, metadata management, or discovery platforms.
 </li>
 <li>
 Strong Python development experience, including Fast API and backend service development.
 </li>
 <li>
 Experience with AWS services, including AWS Agent Core Registry, Gateway, DynamoDB, and related cloud-native technologies.
 </li>
 <li>
 Experience designing metadata schemas and service registration models.
 </li>
 <li>
 Knowledge of semantic search technologies, vector databases, embeddings, and AI-powered discovery.
 </li>
 <li>
 Experience implementing secure API authentication and authorization using OAuth 2.0 and JWT.
 </li>
 <li>
 Experience integrating governance workflows, approval processes, and lifecycle management into enterprise platforms.
 </li>
 <li>
 Experience integrating enterprise identity providers and identity mapping solutions.
 </li>
 <li>
 Strong understanding of cloud-native architecture, distributed systems, API design, and platform engineering.
 </li>
 <li>
 Excellent leadership, communication, mentoring, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with AWS AgentCore Registry and Gateway.
 </li>
 <li>
 Experience with vector databases such as pgvector, OpenSearch, or similar semantic search technologies.
 </li>
 <li>
 Experience with HashiCorp Vault or enterprise secrets management platforms.
 </li>
 <li>
 Familiarity with MCP (Model Context Protocol) standards and Canonical Contract schema design.
 </li>
 <li>
 Experience implementing observability and distributed tracing solutions.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud security best practices.
 </li>
 </ul>
 
 Why Join Us
 
 <ul>
 <li>
 Lead the development of an enterprise AI Registry and Discovery Platform supporting next-generation AI applications.
 </li>
 <li>
 Work with cutting-edge AWS AgentCore technologies, semantic search, and cloud-native architectures.
 </li>
 <li>
 Drive engineering standards, governance, and technical strategy for enterprise AI platforms.
 </li>
 <li>
 Collaborate with experienced AI, platform, and cloud engineering teams on innovative global-scale solutions.
 </li>
 <li>
 Make a significant impact by shaping the future of AI service discovery, governance, and lifecycle management across a large enterprise.
 </li>
 </ul>
 
 
 
</div>

Python Team Lead – AI Registry & Discovery Platform (AWS AgentCore)

geidea

<div>
 
 Geidea Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 
 www.geidea.net
 
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Principal Software Architect"
 
 
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 Follow and practice System Design principals for Geidea&rsquo;s core backend and platform components at Group level.
 
 
 The role is responsible for the design and evolution of distributed systems, backend services, and platform components, introducing and governing key patterns and performance benchmarks, and ensuring that Geidea&rsquo;s internal platforms are scalable, reliable, observable, secure, and maintainable across markets.
 
 
 The System Designer works closely with product and engineering teams to align system capabilities with business goals, and with infrastructure, DevOps and SRE teams to ensure that systems are robustly deployed, monitored, and continuously improved.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 Owns and undertakes System Design practice for backend &amp; platform
 
 
 <ul>
 <li>
 Translate the Group architecture and technology strategy into concrete system design standards, patterns, and guidelines for distributed systems and backend services.
 </li>
 <li>
 Maintain shared design templates, documentation standards, and guardrails to ensure consistency across squads and markets.
 </li>
 </ul>
 
 
 Design and evolve core system components
 
 
 <ul>
 <li>
 Assess and performs the low-level designs and drafts the supporting documents and diagrams as well as the evaluation of key platform components and backend services, from ideation and prototyping through detailed design, implementation guidance, deployment, and observability.
 </li>
 <li>
 Balance trade-offs between scalability, reliability, maintainability, performance, and delivery speed, escalating structural decisions when required.
 </li>
 </ul>
 
 
 Introduce patterns and performance benchmarks
 
 
 <ul>
 <li>
 Define reusable design patterns, performance benchmarks, and reference implementations aligned with Group architectures.
 </li>
 <li>
 Work with engineering teams to ensure high-throughput, low-latency, and fault-tolerant designs for payment and transactional platforms.
 </li>
 </ul>
 
 
 Partner with Product, Infrastructure, DevOps, and SRE
 
 
 <ul>
 <li>
 Collaborate with Product and Infrastructure teams to align system capabilities with business goals, capacity plans, and regulatory constraints.
 </li>
 <li>
 Partner with DevOps and SRE to ensure system designs support robust CI/CD pipelines, roll-back strategies, observability, and disaster recovery approaches.
 </li>
 </ul>
 
 
 Owns in house and 3rd party assessments that involves systems under the corresponding engineering team accountability
 
 
 <ul>
 <li>
 Represent engineering at TDA.
 </li>
 <li>
 Owns 3rd party assessments and solution agreement / alignments with EA.
 </li>
 </ul>
 
 
 Drive performance diagnostics, observability, and fault tolerance by design
 
 
 <ul>
 <li>
 Lead performance diagnostics and design-level root cause analysis for major incidents or bottlenecks.
 </li>
 <li>
 Ensure observability (logging, metrics, tracing) and resilience patterns are embedded in designs.
 </li>
 </ul>
 
 
 Evaluate and integrate emerging technologies
 
 
 <ul>
 <li>
 Evaluate emerging technologies, tools, and frameworks relevant to backend, platform, and observability, and make recommendations that improve scalability, reliability, security, or developer productivity.
 </li>
 <li>
 Pilot selected technologies with engineering teams and document best practices.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 10+ years in backend/software engineering, with hands-on experience building and operating distributed systems or high-throughput services.
 </li>
 <li>
 4+ years in technical leadership, system design, or system architecture, guiding teams through complex design decisions and owning outcomes across multiple squads or services.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field is required.
 </li>
 <li>
 Master&rsquo;s degree or relevant certifications (e.g., TOGAF) is a big plus
 </li>
 </ul>
 
 
 
 
 
 Must Have:
 
 
 <ul>
 <li>
 Strong understanding of system architecture principles, design patterns, and software engineering best practices
 </li>
 <li>
 Strong knowledge of enterprise integration, APIs, microservices, and distributed systems
 </li>
 <li>
 Solid grasp of networking fundamentals, firewalls, load balancers, and security protocols
 </li>
 <li>
 Solid understanding of cloud platforms (e.g., AWS, Azure) and containerization (Docker, Kubernetes)
 </li>
 <li>
 Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible)
 </li>
 <li>
 Experience with performance tuning, observability, and system reliability engineering
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Exposure to frontend technologies and UI/UX collaboration
 </li>
 <li>
 Experience in regulated industries (e.g., finance, healthcare) with compliance-aware architecture
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
</div>

Principal Software Architect

Banque Misr

<div>
 Title: Infrastructure Service Delivery Tech Lead - ITSector: IT
 
 Job Summary:Ensuring IT systems business continuity and minimizing disruptions in the event of data loss or IT equipment failure in the event of a disaster or emergency.Manage IT infrastructure new projects.Follow up with IT stockholders Appling governance &amp; Security requirements with IT stockholders.
 
 Key Responsibilities:&bull;Preparing, monitoring and managing the IT recovery process testing to ensure the restoration of normal operations within the defined RTO.&bull;Follow up with IT applications owners to update the recovery document with changes in process, resources &amp; team information.&bull;Update IT disaster plan documents.&bull;Preparing &amp; managing Testing new IT systems readiness in disaster site before going live.&bull;Collaborate with IT stockholders to Prepare new system disaster recovery process documents.&bull;Preparing DRP Governance &amp; audit requirements.&bull;Follow up with IT applications owners &amp; infrastructure admins implementing IT governance &amp; Security requirements.&bull;Document incidences, issues &amp; corrective actions during recovery process.
 
 Requirements:Technical Expertise (Hands-On Required).&bull;good understanding of IT infrastructure, network systems, software applications, information security &amp; disaster recovery / business continuity&bull;good skills in managing IT infrastructure projects, including planning, execution &amp; monitoring.&bull; very good verbal &amp; written communication skills to interact with vendors, &amp; IT members.&bull;good presentation skills.&bull;good negotiation &amp; work under stress skills.
 
 Qualifications:&bull;Bachelor's degree in computer science, information technology, business administration or a related field.&bull; ITIL &amp; project management certified is briefed.&bull;Minimum 8 years of experience within IT support, system administrator or project management roles&bull;Banking experience is preferred.
</div>

Infrastructure Service Delivery Tech Lead - IT

Arrow Electronics

<div>
 
 Position
 
 
 
 Technical Support Manager- VMware by Broadcom
 
 
 
 Job Description
 
 
 
 We are an American Fortune 500 company headquartered in Centennial, Colorado. The company specializes in distribution and value-added services relating to electronic components and computer products.
 
 
 At
 
 Arrow ECS
 
 we are at the forefront of new internet security technology, providing businesses with technical expertise. As a company we sell, install, and maintain customer's software and hardware solutions such as firewalls, antivirus, web filtering, virtual infrastructures, and network traffic load balancers. Our customers can range from small businesses to some of the biggest companies in the world. We work with these customers to ensure that their IT infrastructure is fast, reliable, secure, and most importantly works well for their needs.
 
 
 Our team has created a unique business environment - one of energy, Innovation, passion, creativity, and collaboration.
 
 
 
 What You Will Be Doing at Arrow?
 
 
 
 The Technical Support Manager will lead and manage a team of VMware by Broadcom technical support professionals, ensuring the team provides timely, best-in-class technical assistance to customers. This role involves overseeing day-to-day operations, ensuring service-level agreements (SLAs) are met, and providing coaching and guidance to team members. You have a true passion for teamwork, possess superb communication &amp; organizational skills, and are comfortable with speaking to customers daily. Technical Support Managers lead and/or participate in several ongoing programs, projects &amp; initiatives.
 
 
 The ideal candidate has strong technical knowledge, excellent leadership skills, and a passion for solving customer problems.
 
 
 
 Team Management &amp; Leadership
 
 
 
 <ul>
 <li>
 Lead a team of skilled Technical Support Engineers, including interviewing &amp; hiring, coordinating skills development &amp; training, and optimizing individual &amp; team performance.
 </li>
 <li>
 Supervise, mentor, and coach the technical support team to improve performance and maintain a high level of customer service.
 </li>
 <li>
 Conduct regular performance evaluations, and one-on-one meetings, and provide constructive feedback.
 </li>
 <li>
 Manage team schedules, including shifts and coverage for peak times and holidays.
 </li>
 <li>
 Monitor and manage day-to-day support operations to ensure customer issues are resolved in a timely and efficient manner.
 </li>
 <li>
 Ensure the team meets or exceeds key performance indicators (KPIs) such as response times, resolution times, and customer satisfaction scores.
 </li>
 <li>
 Handle escalated customer issues that require managerial attention.
 </li>
 <li>
 Identify training needs and arrange appropriate training and development programs for team members.
 </li>
 <li>
 Keep the team updated with the latest technology, tools, and processes to enhance support quality.
 </li>
 <li>
 Prepare regular reports on team performance, customer feedback, and key operational metrics.
 </li>
 <li>
 Ensure customer issues are resolved with empathy and professionalism.
 </li>
 <li>
 Regularly review customer feedback to identify areas for service improvement.
 </li>
 <li>
 Help the team to resolve escalated support incidents from our customers and partners. A percentage of calls will be of a complex technical nature.
 
 
 </li>
 </ul>
 
 Who Are We Looking For?
 
 
 
 In this role, you will have the opportunity to acquire lots of new skills, so you must be
 
 keen to learn and embrace new technologies
 
 and commit to rapid skills development.
 
 
 
 Therefore, What Is Essential For Us
 
 
 
 <ul>
 <li>
 Excellent English language skills both written and verbal.
 </li>
 <li>
 Bachelor's degree in information technology, Computer Science, or related field (or equivalent experience).
 </li>
 <li>
 5+ years of experience in technical support, with at least 2-3 years in as senior support engineer or team leader role.
 </li>
 <li>
 Proven ability to manage, mentor, and motivate a team, with excellent decision-making and problem-solving abilities.
 </li>
 <li>
 Ability to build a culture of collaboration, accountability, and continuous learning.
 </li>
 <li>
 Ability to drive team engagement and foster a positive work environment.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences.
 </li>
 <li>
 Emotional intelligence &amp; conflict resolution skills to manage escalations professionally with customer-first mindset.
 </li>
 <li>
 Experience in identifying and implementing process optimizations to enhance support efficiency.
 </li>
 <li>
 Experience with virtualization, networking, and troubleshooting.
 </li>
 <li>
 The ability to acquire skills and develop quickly is essential.
 </li>
 <li>
 Willingness to work outside of normal business hours.
 </li>
 <li>
 Previous experience in fast-paced technical support departments.
 </li>
 <li>
 Foreign language skills (German, French, or Spanish) would be a plus but not essential.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-New Cairo, Egypt (Uvenues)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Engineering and Technology
</div>

Technical Support Manager- VMware by Broadcom

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
 
 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

Premier Services and Recruitment

<div>
 
 
 Forward Deployed Engineer II
 
 
 
 
 Location:
 
 Maadi, Cairo, Egypt (Hybrid)
 
 
 We are seeking a
 
 Forward Deployed Engineer II
 
 to lead the technical deployment and integration of AI-driven enterprise solutions within banking and enterprise environments. In this role, you will collaborate directly with client IT, infrastructure, security, and business teams to design deployment architectures, build integrations, and ensure successful implementation and ongoing support of client environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the deployment and lifecycle management of enterprise software solutions within client environments, including on-premises and highly secure infrastructures.
 </li>
 <li>
 Design deployment architectures, network topology, security requirements, integration points, and data flows.
 </li>
 <li>
 Develop and maintain technical documentation, including:
 </li>
 <li>
 API documentation
 </li>
 <li>
 Architecture diagrams
 </li>
 <li>
 Integration guides
 </li>
 <li>
 Deployment runbooks
 </li>
 <li>
 Environment handover documentation
 </li>
 <li>
 Update and rollback procedures
 </li>
 <li>
 Build and maintain integration components such as APIs, connectors, adapters, and automation scripts.
 </li>
 <li>
 Integrate solutions with enterprise platforms, including databases, messaging systems, ERP/CRM solutions, and internal APIs.
 </li>
 <li>
 Deploy and manage applications using Docker, Kubernetes, Linux, and related technologies.
 </li>
 <li>
 Manage software updates, patches, and configuration changes in production environments.
 </li>
 <li>
 Troubleshoot complex infrastructure, networking, and security issues involving VPNs, firewalls, proxies, certificates, authentication, and load balancers.
 </li>
 <li>
 Collaborate with Product, Engineering, DevOps, and Delivery teams to ensure seamless deployments and customer success.
 </li>
 <li>
 Participate in technical discovery sessions, solution design, and implementation planning.
 </li>
 <li>
 Identify opportunities to standardize deployment processes and improve delivery efficiency.
 </li>
 <li>
 Mentor junior engineers and contribute to technical best practices.
 </li>
 <li>
 Participate in on-call support and critical production escalations as required.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in Solutions Engineering, Systems Integration, DevOps, Technical Implementation, Backend Engineering, or a similar role.
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 and API development using frameworks such as
 
 FastAPI
 
 ,
 
 Django
 
 , or similar.
 </li>
 <li>
 Experience deploying and managing applications using
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 Linux
 
 .
 </li>
 <li>
 Experience working with on-premises, private cloud, or highly secure enterprise environments.
 </li>
 <li>
 Solid understanding of networking concepts, including VPNs, firewalls, proxies, DNS, TLS/SSL, load balancers, and certificate management.
 </li>
 <li>
 Experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, ERP, CRM, or messaging platforms.
 </li>
 <li>
 Strong troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Excellent technical documentation and communication skills.
 </li>
 <li>
 Ability to work directly with client technical and business stakeholders.
 </li>
 <li>
 Willingness to travel to client sites when required.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience within banking, fintech, or enterprise software environments.
 </li>
 <li>
 Knowledge of enterprise security standards and infrastructure best practices.
 </li>
 <li>
 Familiarity with CI/CD pipelines and cloud technologies.
 </li>
 <li>
 Experience working in customer-facing technical delivery roles
 </li>
 </ul>
 
 
 
</div>

Forward Deployed Engineer II

GulfNet Solutions Company Limited (GNS)

<div>
 
 
 Job Description
 
 
 
 
 System Architect &ndash; Industrial Digital Solutions
 
 
 
 
 Job Summary
 
 
 
 Lead the design of end-to-end Industrial Digital Solutions by understanding customer business processes and operational challenges, then translating them into scalable, secure, and integrated solution architectures for utilities and process industries.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Understand customer processes, business requirements, and digital transformation objectives.
 </li>
 <li>
 Design solution architectures for
 
 MES, IIoT, OEE, APM, CMMS, Predictive Maintenance, AI Analytics, Digital Twin, Historian, Energy Management, and Remote Monitoring
 
 .
 </li>
 <li>
 Architect integrated
 
 Industrial Automation
 
 solutions including
 
 PLC, SCADA, DCS, RTU, Instrumentation, BMS, Leak Detection, and Electrical Systems
 
 .
 </li>
 <li>
 Design secure
 
 OT/IT connectivity
 
 using Industrial Ethernet, Fiber, Wi-Fi, 4G/5G, NB-IoT, LoRaWAN, Edge Computing, Cloud, and IoT Gateways.
 </li>
 <li>
 Define communication architectures using
 
 OPC UA, MQTT, Modbus, PROFINET, EtherNet/IP, IEC 61850, IEC 60870-5-104, BACnet, REST APIs
 
 , and SQL databases.
 </li>
 <li>
 Lead customer workshops, site assessments, solution presentations, and technical proposals.
 </li>
 <li>
 Support Sales, Presales, and Project teams throughout the project lifecycle.
 </li>
 <li>
 Establish architecture standards, ensure cybersecurity compliance, and provide technical governance.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in electrical, Automation, Control, Mechatronics, Computer, or Industrial Engineering.
 </li>
 <li>
 
 5&ndash;8 years
 
 of experience in Industrial Automation and Digital Solutions.
 </li>
 <li>
 Experience in
 
 Manufacturing, Infrastructure, Process Industries and Utilities.
 
 </li>
 <li>
 Experience with platforms such as
 
 Schneider Electric, Siemens, Rockwell, ABB, AVEVA, Ignition, Azure, or AWS
 
 is preferred.
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Industrial Automation &amp; Digital Transformation
 </li>
 <li>
 Solution &amp; System Architecture
 </li>
 <li>
 OT/IT Integration &amp; Industrial Connectivity
 </li>
 <li>
 Process Analysis &amp; Business Consulting
 </li>
 <li>
 Industry 4.0 &amp; IIoT
 </li>
 <li>
 Technical Leadership &amp; Stakeholder Management
 </li>
 <li>
 Problem Solving &amp; Innovation
 </li>
 <li>
 Excellent communication in English and Arabic.
 </li>
 </ul>
 
 
 
</div>

System Architect

Explore 128+ Technical lead in Cairo this August. Find roles across top companies and apply now to boost your career.