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Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to : Career development with an international company where you can grow the career you dream of. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Egypt location in the Established Pharmaceuticals division. Divisional Information Established Pharmaceuticals We are committed to bringing the benefits of our trusted medicines to more people in the world’s fastest-growing countries. Our broad portfolio of high-quality and differentiated branded generic medicines reaches across multiple therapeutic areas including gastroenterology, women's health, cardiometabolic, pain management/central nervous system, and respiratory. What You’ll Work On Office & Administrative Management Oversee daily office operations to maintain an efficient and productive workplace. Lead and develop the administrative team, aligning priorities, objectives, and performance. Coordinate company events, meetings, training sessions & employee engagement activities. Maintain accurate business records, organizational data and related documentation. Ensure effective record management and compliance with company policies. Executive & Leadership Support Provide administrative and operational support to the Africa Head, Egypt Country Manager, and Leadership Team. Manage calendars, meetings, travel arrangements, and business logistics. Coordinate leadership meetings, including agenda, minutes, and follow-up actions. Serve as a key liaison between leadership, employees, and external stakeholders. Procurement & Vendor Management Manage procurement activities to ensure timely delivery of goods and services. Partner with Regional Procurement on supplier selection, negotiations, and vendor performance management. Build and maintain strong relationships with vendors and service providers. Support contract administration, renewals, and compliance requirements. Collaborate with Finance to ensure timely invoice processing and payment resolution. Drive cost optimization and operational efficiency initiatives. Fleet Management Manage the company vehicle fleet, including procurement, insurance, maintenance. Ensure compliance with company vehicle policies and eligibility requirements. Coordinate vehicle replacements, maintenance schedules, and repair activities. Maintain strong relationships with suppliers, dealerships, leasing companies, and insurance providers. Monitor fleet costs and identify opportunities to improve utilization and reduce expenses. Ensure employee safety by maintaining vehicles in good condition and complying with safety standards. Compliance & Continuous Improvement Ensure adherence to Abbott's policies, procedures, and compliance requirements. Maintain effective controls, governance, and operational compliance across procurement, fleet, and administrative processes. Support digital transformation initiatives and drive continuous process improvement projects. Prepare operational reports, analyze performance metrics, and provide actionable recommendations to leadership for informed decision-making. Required Qualifications 7+ years of experience in Office Management, Administration, Fleet Management and/or Procurement Proven experience managing vendors, contracts, and administrative operations. Experience supporting senior leadership teams. Preferred Qualifications Experience in pharmaceutical, healthcare, FMCG, or multinational environments Strong communication and interpersonal skills. Excellent organizational and multitasking abilities. Strategic planning and problem-solving capabilities. Financial and budget management awareness. Project coordination and event management skills. Advanced proficiency in Microsoft Office applications. Experience with SAP or similar ERP systems is preferred. Strong attention to detail and confidentiality. Ability to work independently while managing multiple priorities. Apply Now Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal. Show more

About Bosta: Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions. We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system. About the role: We’re rebuilding Bosta’s data platform end-to-end: from MongoDB at the source, through a governed semantic layer that LLM-native tools (NL-to-SQL agents, AI analysts, embedded copilots) can sit on top of safely and cheaply. You will help own that rebuild.This is a hands-on role. You’ll set patterns, write the foundational code, and ship across the stack — from CDC and ingestion through dbt, the semantic layer, and the interfaces that BI tools and AI agents consume. Job Responsibilities End-to-end pipeline work: MongoDB CDC → ingestion → lakehouse → warehouse → dbt → semantic layer → BI/AI consumers Co-ownership of architecture decisions with the Data Engineering Lead CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project Orchestration that’s observable end-to-end (Airflow, Dagster, or Prefect) The dbt project: structure, conventions, tests, contracts, exposures, CI The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) — one canonical definition per business metric LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources Job Qualifications 4+ years across data engineering and/or analytics engineering — you’ve spent meaningful time on both sides Comfort spanning the stack: comfortable shipping a Debezium connector one week and a dbt mart the next Deep dbt and SQL — you’ve owned a non-trivial project, not just contributed to one Production CDC experience (Debezium, Kafka Connect, Airbyte, or hand-rolled) against operational databases — bonus if that database was MongoDB A cloud warehouse you know deeply (Redshift, Snowflake, BigQuery, or Databricks) Strong Python; comfortable in Linux, infra-as-code, and CI/CD Working understanding of how LLM tooling (RAG, NL-to-SQL, embedded agents) consumes a data platform — and what breaks when the platform isn’t ready Strong opinions on modeling, lightly held; bias toward observability Bonus: MongoDB schema evolution at scale Production semantic-layer rollouts (dbt Semantic Layer, Cube, LookML, MetricFlow) Lakehouse formats (Iceberg, Delta, Hudi) or streaming experience (Kafka, Flink, Kinesis) Data catalog / lineage tooling (DataHub, Atlan, Collibra) Logistics, marketplaces, or other operationally heavy domains Evals on AI-generated SQL or analytical reasoning Thank you for considering Bosta as your next career step. We value every application we receive, and our selection process is designed to ensure the best fit for both our team and our candidates. We appreciate your patience throughout the process We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. Show more

Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics. For Enterprises, these are key factors of success. For us, they're our core expertise. We work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering - the foundation that powers rapid innovation and scalable business transformation. We've created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless "as-a-service" model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. With proven strategies and agile execution, we don't just enable change - we engineer digital outcomes. Sutherland Digital Outcomes. Job Description Responsible for maintaining and auditing site physical security controls, including access control, CCTV, alarms, key management, Server room security, security training, and compliance audits. Investigates security failures, manages remediation and testing, and ensures adherence to physical security policies and standards. Key Responsibilities: Access & System Management: Audit and maintain physical access controls, CCTV retention/quality, alarm systems, PIN lifecycles, and key/material tracking. Compliance & Auditing: Conduct regular pre-audits against internal and client security standards (including server room and MDF access), prepare audit files, and support internal/external audit processes. Security Training & Oversight: Support the Security Manager in ensuring personnel, site keyholders, and guarding staff complete required security and safety training on schedule. Incident & Risk Remediation: Investigate physical security failures, oversee system testing, validate SLA response times, and implement corrective actions. Reporting & Administration: Generate daily and monthly security/safety reports, participate in annual policy reviews, and handle confidential information with strict discretion. Qualifications Knowledge and skills (Essential). Must be an intelligent, articulate and persuasive field leader who can serve as an effective Lead. Should understand in general compliance, auditing, and risk management. Must have general working knowledge audits and compliance. Must have a general understanding of information technology and information security as well. Educational / Professional Qualifications (essentials/desired) Bachelor’s degree, preferably in compliance or security field 2-3 years experience security & safety industries (preferably IT & ITES) General understanding of information technology and information security as well Fluent in English and Excellent in communication skills is a must; Experience of working in a diverse and fast pace multinational environment will be treated as an advantage Advanced and independent user of MS Office applications-mainly Excel Previous security and administrative experience is ideal. Excellent organizational skills Additional Information Competencies Professionalism: Knowledge of security management, combined with background in compliance. Shows persistence when faced with difficult problems or challenges; Remains calm in stressful situations; Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Teamwork: Works collaboratively with colleagues to achieve organizational goals; Is willing to learn from others; Places team agenda before personal agenda; Supports and acts in accordance with final group decision. Planning and Organizing: Develops clear goals that are consistent with agreed strategies; Identifies priority activities and assignments; Adjusts priorities where necessary; Foresees risks and allows for contingencies when planning; Meets timeline for delivery of products or services Client Orientation: Considers all those to whom services are provided to be “clients” and seeks to see things from clients’ point of view; Keeps Managers informed of progress or setbacks in projects; Show more

Join us at Orange Business! We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business. Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities. Job Description About the role Orange is seeking a talented and motivated Data Analyst to join our Digital AI Skills Centers in Egypt. The ideal candidate will be responsible for understanding data needs, collecting and formatting data, storing, processing, and analyzing it to extract actionable insights. Key Responsibilities Perform advanced data analysis using cutting-edge methods to uncover hidden insights and demonstrate business value. Develop and apply complex statistical models and innovative data visualizations to reveal insights and business value. Present findings in a comprehensible manner and advise management on actionable steps. Create and deliver data-driven products (e.g., automated decision systems, AI-based anomaly detection) and monitor performance through industrialization. About You You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas. What We Offer Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). Professional Development: training programs and upskilling/re-skilling opportunities. Career Growth: Internal growth and mobility opportunities within Orange. Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. Reward Programs: Employee Referral Program, Change Maker Awards. Only Your Skills Matter Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs. Show more

DevOps Engineer – AI Agent Platform Position Overview We are looking for a DevOps Engineer to design, build, and automate CI/CD and registry workflows for enterprise AI agents. The role will focus on containerized agent delivery, automated version registration, security and evaluation gates, artifact traceability, and reliable promotion of agent versions across environments. The ideal candidate will have strong experience in DevOps, platform engineering, containerization, CI/CD, AWS, and AI/ML delivery pipelines, with an interest in building modern infrastructure for enterprise AI platforms. Project Overview About the Client Our client is a large global enterprise operating across multiple markets, with a complex technology landscape and a strong focus on digital transformation and innovation. The organization is actively investing in modern cloud, data, and AI capabilities to enable scalable, secure, and highly automated solutions across its business. About the Project The project focuses on building an enterprise-grade AI Agent Platform from the ground up. The platform will provide a standardized foundation for developing, deploying, orchestrating, securing, and observing AI agents across multiple teams and use cases. The initiative covers the full AI agent lifecycle, bringing together: Agent orchestration CI/CD and platform engineering Observability Security and governance Integrations Agent evaluation Deployment and environment promotion Artifact and version traceability Engineers joining the project will have the opportunity to influence key architectural and technical decisions and contribute to building a new platform rather than maintaining an existing solution. Key Responsibilities Design and implement CI/CD pipelines for AI agents, including ARM64 container builds, security scanning, AWS ECR publishing, and AgentCore Runtime version creation. Build and maintain GitHub Actions workflows supporting matrix builds, parallel execution, and agent-specific validation. Integrate CI/CD workflows with the Agent Registry to automatically register agent versions and associated metadata. Implement and maintain agent version metadata, including: Version ID Git SHA Container image digest Build and registration timestamp Evaluation results Promotion status Tool and policy bindings Manage AI agent container images in AWS ECR, including semantic versioning and Git SHA-based tagging strategies. Implement automated security scanning within CI/CD pipelines covering vulnerabilities, secrets, compliance requirements, and agent-specific security risks. Integrate AI agent evaluation gates into deployment workflows and prevent promotion of versions that fail required quality or security checks. Design reliable promotion workflows across development, testing, staging, and production environments. Maintain end-to-end traceability between source code, container artifacts, evaluation results, registry records, and deployed agent versions. Automate version creation and deployment processes to reduce manual intervention and improve release reliability. Collaborate with platform, AI/ML, security, and application engineering teams to establish standardized agent delivery practices. Contribute to DevOps standards, automation frameworks, documentation, monitoring, and operational best practices. Required Skills & Technical Experience DevOps & CI/CD 4+ years of experience in DevOps, Platform Engineering, or a closely related field. Strong experience designing and implementing CI/CD pipelines for containerized applications, AI/ML workloads, or similar production systems. Hands-on experience with GitHub Actions, including reusable workflows, matrix builds, secrets management, and automated validation. Strong understanding of CI/CD automation, artifact management, release strategies, and environment promotion. Containers & Registries Strong experience with Docker/containerized workloads and production container delivery. Experience building and publishing ARM64 container images. Hands-on experience with AWS ECR or equivalent enterprise container registries. Experience implementing container tagging and versioning strategies, including: Semantic versioning Git SHA-based tags Immutable image references Container digest traceability AWS & Cloud Strong experience with AWS cloud services and infrastructure. Experience with AWS container and deployment services. Understanding of IAM, security controls, networking, logging, and cloud-native deployment practices. Security & Quality Gates Experience integrating security scanning into CI/CD pipelines. Knowledge of vulnerability scanning, secrets detection, compliance checks, and container security. Experience implementing automated quality or evaluation gates that can block artifact promotion when predefined criteria are not met. Understanding of secure software supply chain and artifact traceability practices. AI/ML Platform Engineering Experience working with AI/ML pipelines, AI applications, or agent-based systems. Understanding of the lifecycle of containerized AI/ML workloads from source code through build, evaluation, registry, deployment, and promotion. Familiarity with metadata-driven version management and deployment workflows. Agent Platform-Specific Requirements Experience implementing agent CI/CD pipelines, including container build, security validation, registry publishing, and runtime version creation. Experience with Agent Registry integrations and automated agent version registration. Understanding of agent-specific security validation, including prompt injection and PII leakage testing. Experience designing metadata schemas for agent versions and deployment artifacts. Ability to establish traceability between Git commits, container digests, evaluations, registry entries, and deployed versions. Nice to Have Experience working with AWS AgentCore Runtime and its endpoint/version management APIs. Experience integrating automated agent evaluation frameworks into CI/CD pipelines. Experience implementing GitOps-based promotion patterns for AI agents or ML workloads. Experience with LangChain and/or LangGraph agent packaging and deployment. Experience with AI agent security and governance frameworks. Familiarity with infrastructure-as-code tools such as Terraform or AWS CDK. Experience with Kubernetes or other container orchestration platforms. Understanding of software supply chain security and artifact provenance. Education Bachelor's degree in Computer Science, Information Technology, Software Engineering, Engineering, or a related field. Key Competencies Strong problem-solving and troubleshooting skills. Ability to design scalable and reusable automation. Strong understanding of DevOps and platform engineering principles. Attention to detail, particularly around security, traceability, and release management. Ability to work effectively with AI/ML engineers, software engineers, security teams, and platform teams. Strong communication and documentation skills. Ability to work in a fast-paced environment and contribute to architectural and technical decisions. Why This Position? Opportunity to work on a greenfield enterprise AI Agent Platform. Direct involvement in designing and implementing modern AI agent delivery infrastructure. Opportunity to influence platform architecture, automation standards, and engineering practices. Exposure to AWS, AI agents, CI/CD, security, evaluation, registries, and cloud-native technologies. Work alongside multidisciplinary engineering, AI/ML, security, and platform teams. Opportunity to build scalable solutions that support AI agent adoption across a large enterprise. Show more

About Payrails Payrails is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance. With deep experience in the payments space and firsthand knowledge of merchants' challenges, we’ve seen how fragmented, complex, and inefficient these systems can become. Now, we are setting a new industry standard for how enterprises around the world manage and optimize payments, with more control, visibility and flexibility than ever before. Our vision is to reimagine payments from the ground up. We are building a deeply integrated meta layer that spans the entire payment lifecycle with a modular architecture. This helps us give leading brands building blocks to craft solutions to most complex operational challenges, tailor seamless customer experiences and grow their business. We are backed by some of the world’s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst, who share our mission to simplify payment complexity globally. At Payrails, we’re committed to building a team of exceptional people - not just talented, but driven to build, solve, and deliver at the highest level. Excellence isn’t just a value here; it’s a way of working. We believe that great people thrive in environments where there’s trust, clarity, and shared purpose. We work openly and collaboratively, with deep respect for each other’s craft. Everyone is encouraged to understand the bigger picture - what we’re building, why it matters, and what stands in the way. When people have that context, they move faster, take ownership, and make better decisions. We care about creating a culture where people feel inspired to do their best work and a deep sense of responsibility to help us bring our vision to life. Success at Payrails means staying focused on the problems that matter most, and executing with purpose. Your team At Payrails, data is at the core of everything we do. We don’t just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission. Our tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems that affect customers on a global scale. How you will make an impact Work alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements. Design, develop and maintain robust, scalable and observable batch and real-time data pipelines. Architect, build and maintain the data infrastructure at Payrails. Advocate for and implement data governance and security best practices. Contribute to tooling that improves data quality, CI/CD workflows, and data observability. Collaborate with cross-functional teams to understand requirements and design optimal solutions. What we are looking for You have 5-7 years of extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services. You have strong proficiency in Python. Experience with GoLang is a plus. You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale. You develop and maintain data pipelines using workflow management platforms such as Apache Airflow. You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes. You communicate effectively and are proficient in English. You work independently and collaboratively in a fast-paced environment. Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage. Familiarity working with infrastructure as code (e.g. Terraform) is preferred. FinTech or payments domain experience is a plus. What we offer High impact and high velocity environment with the most talented and ambitious people you will ever work with A chance to shape the story of a company and a category from the ground up Real ownership. You’ll have the freedom and trust to build, test, and take lead A product used by the best brands around the world Hybrid working with an office in the heart of New Cairo Regular team events, activities and off-sites Competitive salary and equity package 27 days of annual paid vacation Show more