senior devops engineer

data engineer

devops engineer

ai engineer - remote

ai platform engineer

cloud operations engineer

Henkel

<div>
 
 About this Position
 
 The Cloud Engineer supports the development and operation of Henkel's enterprise multi-cloud platform environment, covering Microsoft Azure and Google Cloud Platform. The role focuses on building scalable cloud infrastructure, automation, and platform engineering solutions that support a centralized ecosystem serving global application teams and business units. As part of a hands-on engineering environment within Henkel's Cloud Organization, the position contributes to infrastructure engineering, cloud-native capabilities, and platform self-service that strengthen how enterprise solutions are deployed and scaled across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and optimize cloud infrastructure on Microsoft Azure and Google Cloud Platform, including compute, networking, IAM, and storage services.
 </li>
 <li>
 Develop and maintain infrastructure automation solutions using Terraform and Ansible following Infrastructure as Code (IaC) practices.
 </li>
 <li>
 Build and maintain CI/CD deployment pipelines supporting reliable multi-environment platform delivery and GitOps workflows.
 </li>
 <li>
 Support the provisioning and lifecycle management of cloud projects and resources such as VPCs, service accounts, landing zones, and platform blueprints.
 </li>
 <li>
 Contribute to the team's Internal Developer Platform (IDP) initiative by engineering self-service capabilities and reusable platform blueprints for application teams.
 </li>
 <li>
 Support API and agent gateway design, including model routing and FinOps tracking for LLM token consumption.
 </li>
 <li>
 Support platform security, identity management, and compliance capabilities across cloud-native environments.
 </li>
 <li>
 Collaborate with global and cross-functional teams including Platform Owners globally to deliver scalable and reliable enterprise platform solutions.
 </li>
 <li>
 Participate in disaster recovery planning and execution.
 </li>
 <li>
 Optimize cloud-based solutions and infrastructure as part of the company's digital strategy.
 </li>
 <li>
 Contribute to the development of best practices and documentation for IT operations.
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 2&ndash;3 years of hands-on experience in cloud engineering or DevOps roles
 </li>
 <li>
 Solid working knowledge of GCP or Azure - compute, networking, IAM, and storage fundamentals; experience with both is a plus.
 </li>
 <li>
 Hands on experince with infrastructure-as-code practices, preferably Terraform; Ansible is an advantage.
 </li>
 <li>
 Experience building and maintaining CI/CD pipelines and multi-environment deployment workflows.
 </li>
 <li>
 Familiarity with Linux environments, shell scripting (Bash), and container-based workloads.
 </li>
 <li>
 Understanding of Kubernetes or OpenShift and GitOps practices is an advantage.
 </li>
 <li>
 Basic familiarity with AI/LLM APIs such as Azure OpenAI or Vertex AI; hands-on experience is a strong plus.
 </li>
 <li>
 Experience with API gateway solutions (Azure APIM, Apigee, or similar) is a plus.
 </li>
 <li>
 Scripting experience with Python is considered a plus.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work independently and collaborate effectively across distributed, cross-functional teams.
 </li>
 <li>
 Proactive mindset with a passion for automation, engineering quality, and continuously learning new technologies.
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Cloud Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior IT Security Compliance Engineer
 
 
 
 Job Description
 
 
 
 The Senior IT Security Compliance Engineer is responsible for developing, maintaining, and advancing the organization&rsquo;s security compliance posture. This role leads security audits, manages compliance frameworks, and ensures the effectiveness of security controls across the organization. The position works closely with cross‑functional stakeholders to support regulatory requirements, customer security inquiries, and continuous security improvements in a SaaS/cloud-based environment.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, review, and maintain IT security policies, standards, procedures, and guidelines in alignment with industry best practices and regulatory requirements.
 </li>
 <li>
 Lead and coordinate compliance initiatives for security frameworks and standards, including but not limited to ISO 27001, SOC 2, CMMC, NIST, and internal security assessments.
 </li>
 <li>
 Manage audit readiness activities, including documentation preparation, evidence collection, stakeholder coordination, and remediation tracking for internal and external audits.
 </li>
 <li>
 Respond to customer and partner security questionnaires, ensuring accurate, consistent, and timely responses.
 </li>
 <li>
 Conduct periodic security and risk assessments to evaluate the effectiveness of security controls and identify improvement opportunities.
 </li>
 <li>
 Track, manage, and follow up on vulnerability remediation efforts in collaboration with IT, engineering, and operations teams.
 </li>
 <li>
 Prepare and deliver security metrics, compliance reports, and executive-level summaries.
 </li>
 <li>
 Provide security awareness, training, and education to employees to promote a strong security culture across the organization.
 </li>
 <li>
 Support continuous improvement of governance, risk, and compliance (GRC) processes and tooling.
 
 
 </li>
 </ul>
 
 Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Strong knowledge of information security principles, risk management, and compliance frameworks, with a solid understanding of ISO 27001 requirements and controls.
 </li>
 <li>
 Hands-on experience supporting audits and compliance programs for frameworks such as ISO 27001, SOC 2, CMMC, NIST, or similar.
 </li>
 <li>
 GRC-related certification (e.g., CISSP, CISA, CRISC, ISO 27001 Lead Implementer/Lead Auditor) is preferred.
 </li>
 <li>
 Experience working in SaaS or technology-driven environments is highly desirable.
 </li>
 <li>
 Familiarity with cloud computing platforms and cloud security principles.
 </li>
 <li>
 Excellent written and verbal communication skills, with proven ability to produce clear, high-quality security documentation and reports.
 </li>
 <li>
 Minimum of 5 years of professional experience in cybersecurity, information security, or compliance-related roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Information Security, or a related field.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior IT Security Compliance Engineer

Mindware

<div>
 
 Job Title
 
 
 
 Technical Support Engineer
 
 
 
 Job Scope
 
 
 
 The Technical Support Engineer is responsible to provide high-quality technical assistance to customers and internal teams. The ideal candidate has solid troubleshooting skills, strong communication abilities, and a customer-focused mindset, responsible for diagnosing issues, resolving technical problems, and ensuring smooth system operations.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Provide Level 1 and Level 2 technical support (remote and on-site if required).
 </li>
 <li>
 Troubleshoot hardware, software, and network-related issues.
 </li>
 <li>
 Install, configure, and maintain IT systems and applications.
 </li>
 <li>
 Monitor system performance and ensure availability.
 </li>
 <li>
 Escalate complex issues to senior engineers or vendors when necessary.
 </li>
 <li>
 Document incidents, solutions, and technical procedures.
 </li>
 <li>
 Support system upgrades, patches, and maintenance activities.
 </li>
 <li>
 Assist in implementation and deployment projects.
 </li>
 <li>
 Ensure SLA compliance and timely issue resolution.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in technical support or IT operations.
 </li>
 <li>
 Good understanding of:
 </li>
 <li>
 Networking fundamentals (TCP/IP, DNS, DHCP, VLANs)
 </li>
 <li>
 Active Directory and user management
 </li>
 <li>
 Basic virtualization concepts (VMware / Hyper-V is a plus)
 </li>
 <li>
 Backup and security best practices
 </li>
 <li>
 Experience with ticketing systems.
 </li>
 <li>
 Basic knowledge of cloud platforms (Azure / AWS is a plus)
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Science or any other related field
 
 
 
 Experience
 
 
 
 At least 3 years of relevant experience
 
 
</div>

Technical Support Engineer

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
 <li>
 Write scripts and automation using Python/Java/Bash
 </li>
 <li>
 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
 <li>
 Understand how various systems work
 </li>
 <li>
 Understand how IT operations are managed
 </li>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

AI / ML Engineer

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