Technology & IT Jobs

We’re looking for a DevOps Engineer to own and evolve our cloud infrastructure, CI/CD pipelines, and reliability practices. You’ll play a key role in enabling fast, secure, and resilient product delivery while working closely with engineering, product, and security teams. What you'll do: Design, build, and maintain scalable cloud infrastructure (AWS/GCP/Azure) Own CI/CD pipelines and deployment automation Improve system reliability, availability, and performance (SRE mindset) Implement Infrastructure as Code (Terraform, CloudFormation, etc.) Enhance monitoring, logging, and alerting systems Ensure security, compliance, and best practices across environments Support production systems and lead incident response when needed Contribute to DevOps best practices across teams To succeed in this role, you'll need to have: 3+ years of professional experience in DevOps Engineering. Strong experience in cloud platforms (AWS preferred) Solid background in Linux, networking, and system architecture Experience with containers and orchestration (Docker, Kubernetes) Proficiency in CI/CD tools Hands-on experience with IaC tools Hands-on experience with Kubernetes is a must Familiarity with monitoring tools Strong scripting skills (Bash, Python, or similar) Experience in high-availability, production environments, Fintech is a plus Show more

We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamic team. In this role, you will be a key contributor to the design, development, and deployment of sophisticated conversational AI systems, primarily using the RASA framework. Your deep expertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP) ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtual assistants and chatbots. You will move beyond prototyping to take ownership of components, optimize model performance, and ensure the reliability of our AI solutions in production. Key Responsibilities: (Must-have) RASA Framework Development: Design, build, and maintain advanced conversational AI agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions. Model Training & Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue models. Implement strategies for continuous improvement using conversation analytics and user feedback to enhance intent classification, entity recognition, and response quality. Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code for custom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems. Google Cloud Platform (GCP) Integration & Deployment: Architect, deploy, and manage RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots. Nice-to-have: CI/CD & MLOps: Implement and maintain CI/CD pipelines for automated testing, building, and deployment of RASA models using tools like Git. Champion MLOps best practices for versioning, monitoring, and retraining models. Data Management: Leverage Google BigQuery for analyzing conversation logs and deriving insights. Use Cloud Storage for managing training data and model artifacts. Required Qualifications: Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. Experience: 3+ years of professional experience in AI/ML development, with at least 2 years of hands-on, in-depth experience building and deploying production-level chatbots with the RASA framework. Programming: Strong proficiency in Python, with a solid understanding of software engineering principles, design patterns, and API development. Google Cloud Platform: Proven, hands-on experience with core GCP services, including: Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engine. AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language API. Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networking. Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent detection, entity extraction, context management) and practical experience with machine learning libraries (e.g., scikit-learn, spaCy, Transformers). Version Control & Collaboration: High proficiency with Git in a collaborative team environment. Soft Skills & Other Requirements: Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in distributed systems. Ownership & Initiative: A proactive mindset with the ability to take ownership of projects from conception to deployment and beyond, working with minimal supervision. Communication: Strong verbal and written communication skills. Ability to clearly articulate technical concepts to both technical and non-technical stakeholders. Agile Methodology: Experience working in an Agile/Scrum development process. Team Player: A collaborative attitude, with a willingness to mentor junior developers and share knowledge with the team. Continuous Learning: A passion for staying up-to-date with the rapidly evolving fields of Conversational AI, MLOps, and cloud technologies. Preferred Qualifications (Bonus): GCP Professional Machine Learning Engineer or other GCP certifications. Experience with containerization technologies (Docker) and orchestration (Kubernetes). Knowledge of infrastructure-as-code tools like Terraform. Show more

Professor of clinical oncology and Head of quality assurance unit at faculty of medicine, Mansoura university Show more

Company Description The organization is an education-focused institution committed to providing accessible, high-quality English language instruction to learners in Qesm Rod El Farag. It aims to create an inclusive and supportive learning environment that encourages student engagement and academic growth. The institution values professional teaching practices, continuous improvement, and strong communication between educators, learners, and families. Team members are encouraged to contribute ideas, share best practices, and collaborate to enhance the overall learning experience for students. Role Description This is a full-time, on-site English Teacher role based in Qesm Rod El Farag. The English Teacher will plan and deliver engaging lessons that support students in developing reading, writing, listening, and speaking skills in English. Daily responsibilities include preparing lesson plans and teaching materials, leading classroom activities, assessing student progress, and providing feedback and support tailored to individual learning needs. The role also involves maintaining classroom discipline, communicating with parents or guardians when appropriate, and collaborating with colleagues to align teaching strategies and curricula. The teacher will participate in meetings, trainings, and school events as needed to support the broader educational mission of the institution. Qualifications Candidates should possess strong skills in English Teaching and Teaching, with the ability to instruct diverse learners effectively. Candidates should possess skills in Lesson Planning and Education, including designing structured, goal-oriented lessons aligned with curriculum standards. Candidates should possess excellent Communication skills to interact clearly and professionally with students, families, and colleagues. Relevant academic background in English, Education, or a related field; a teaching certification or diploma is beneficial. Experience teaching English in a classroom setting, preferably at school or language center level. Ability to create an inclusive, respectful classroom environment and manage groups of learners effectively. Strong organizational and time-management skills, with reliability and punctuality in fulfilling full-time on-site responsibilities. Willingness to engage in ongoing professional development and adapt teaching methods to support different learning styles. Show more

Department: Data Insights & Automation, Digital & Technology Platform Services. Location: Cairo, Egypt. We are looking for a highly skilled and experienced Senior Azure Data Engineer with significant technical skills in Azure and strong business acumen to join our team in Coca-Cola Hellenic Digital & Technology Platform Services (DTPS) and be part of the Data Platforms team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate and transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations - creating a single source of truth for reporting across CCH. YOUR KEY RESPONSIBILITIES: • Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale. • Own end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement. • Identify and resolve bottlenecks across ingestion, transformation, and serving layers; drive measurable performance gains. • Contribute to the design and evolution of our medallion architecture and golden layer strategy. • Implement data ingestion processes from multiple heterogeneous sources, ensuring accuracy, completeness, and consistency. • Support the migration from SAP BW, ensuring data continuity and quality throughout. • Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls. • Work autonomously to deliver complex data engineering tasks with minimal supervision, while proactively communicating progress and blockers. • Collaborate closely with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions. • Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end. ARE THESE YOUR SECRET INGREDIENTS? • Bachelor's degree in Information Technology, Computer Science, or related field. • 5+ years of experience in data engineering with a strong focus on Azure (Azure Data Factory, Azure Data Lake Storage, Fabric). • Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably. • Strong SQL skills and experience with data modelling, schema design, and query optimization. • Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation. • Proficiency in at least one programming language: Python (preferred), Scala, or C#/.NET. • Solid understanding of data warehouse and lakehouse concepts. • Strong ability to work independently, manage your own priorities, and deliver under ambiguity. • Excellent communication skills - able to translate technical concepts for business stakeholders and vice versa. • Excellent problem-solving and debugging skills. • Excellent spoken and written English • Communication, organizational and analytical skills Preferred Qualifications: • Experience with real-time or near-real-time streaming pipelines (Azure Event Hubs, Apache Kafka, Spark Streaming). • Hands-on experience with CI/CD for data pipelines using Azure DevOps, Git, and infrastructure-as-code (Terraform). • Familiarity with DevSecOps principles and experience working within the SAFe Agile framework. • Knowledge of SAP BW (extractors, transformations, queries, data export) and experience supporting BW migrations. • Experience with big data technologies such as Hadoop, Spark, and Hive, and large data volume management. • Strong analytical and problem-solving mindset - you enjoy finding root causes, not just symptoms. • Experience with Power BI and DAX for building analytical models and connecting to enterprise data. ABOUT YOUR NEW TEAM: We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact. We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth. We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don’t have the perfect experience. We have faith in what every person can be. And although we have so much to be proud of, we always stay humble. We believe the real magic happens – for us and for you – when we OPEN UP. AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success. Show more

At Sana Commerce, we're committed to creating an inclusive environment because we know our diverse workforce is one of our greatest strengths. B2B commerce is evolving fast and Sana Commerce is built to lead it. We help manufacturers, distributors, and wholesalers create seamless digital buying experiences that strengthen customer relationships and drive real business growth. We're on a mission to become the go-to commerce platform for B2B companies navigating complexity at scale. That means constantly pushing the boundaries of what's possible in ERP-integrated commerce and building a team bold enough to get us there. At Sana Commerce, we’re looking for an AI 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. Who we are: Champions of Our League. "We deliver lasting success, balancing quick wins and long-term value." We take pride in our unique product and extensive B2B knowledge and continuously strive to improve. No matter our role, we bring value every day, helping our customers and partners succeed. Supercharge Our Customers. "We’re revolutionizing B2B commerce together, helping our customers to lead and succeed." Our customers are at the heart of everything we do. We go beyond solutions, providing the tools and support they need to grow. Determined to Grow. "We embrace challenges, growing and raising the bar for ourselves and our industry." We take on challenges, seek feedback, and keep learning. Every setback is a chance to improve and move forward. Bold Together. "We dare to be bold because we have each other’s back." We collaborate across teams and time zones, challenge the status quo, and support each other to achieve the best outcomes. Job Description What you'll be doing Design, develop, and deliver AI-powered features in Sana Commerce – agents that act on real commerce data (catalog, pricing, inventory, orders) Work with modern LLM frameworks and toolchains (e.g. any of Lang*, AWS Bedrock, MS Foundry, Cloudfare Agents, etc…)[VL1.1] to build RAG systems, AI Agents, and dynamic workflows – while understanding the raw agentic loop underneath them Work in a cross-functional team (Engineering, Product, Design) to integrate AI seamlessly into a distributed product Apply solid AI engineering principles end to end, from context and tool design through evaluation, deployment and continuous improvement Build the eval and feedback loops that gate releases: curated datasets, metrics and thresholds that block a regression the way a failing test does Design for failure by building the recovery path before the happy path Contribute to LLMOps and AI observability, improving reliability, evaluation, and monitoring pipelines Stay on top of emerging AI tools and frameworks, helping shape the vision and roadmap of Sana Commerce Qualifications What you bring Proven commercial experience building and deploying production-grade AI applications. 4+ years of web application engineering experience Strong software engineering (back-end, front-end nice to have) and SDLC fundamentals (design patterns, SOLID principles, experience with building complex MACH systems, CI/CD, testing) Apply strong backend and system design principles to ensure deterministic behaviour where needed, clear failure handling, human-in-the-loop controls, and production readiness. Practical knowledge of LLMs, their components (tokenization, attention, embeddings, vector search), and common limitations Hands-on experience with RAG pipelines, agents, and Vector Stores and the judgement to know when retrieval is the wrong tool Familiarity with LLMOps practices, monitoring, evaluation, and feedback loops. Has built real evals that are tied to business impact– dataset, metrics, thresholds and can name the regression they caught Cost and latency literacy – can say what a run costs and how to halve it Strong working knowledge of Cloud technologies Ready to build reliability that scales? Apply now and help shape the foundation of our next-generation SaaS platform. Additional Information Show more