azure cloud engineer

JCSSolutions

<div>Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! 
 
Job Summary 
JCS Solutions is seeking a Hybrid Multi-Cloud Engineer SME to support mission-critical Department of Defense (DoD) cloud modernization initiatives in Fort Belvoir, VA or Albuquerque, New Mexico. This position is responsible for the architecture, engineering, implementation, and sustainment of secure hybrid cloud solutions across Microsoft Azure and Amazon Web Services (AWS) environments.
 
The successful candidate will serve as a senior technical contributor responsible for designing and delivering enterprise cloud capabilities in a fast-paced, green-field environment supporting national security missions. This role requires both strategic cloud architecture expertise and hands-on engineering experience implementing secure, scalable, and resilient cloud solutions. The selected candidate will collaborate with systems engineers, cybersecurity professionals, network engineers, and application teams to develop cloud architectures that align with DoD enterprise cloud strategies and Zero Trust objectives. This position may also provide technical leadership and mentorship to junior cloud engineers. 
Clearance: Active DoD Top Secret security clearance with SCI eligibility. 
 
What&rsquo;s in it for you:<ul><li>
Join a premier technology firm specializing in innovative solutions.</li><li>
Be part of a collaborative, inclusive, and innovative work culture.</li><li>
Enjoy tremendous growth potential in a high-performing team environment.</li><li>
A robust benefits package:<ul><li>
Health, dental, and vision insurance</li><li>
Life insurance</li><li>
Short-and-long term disability</li><li>
Paid time off (PTO)</li><li>
401k retirement plan with employer match</li><li>
Annual Professional Development Reimbursement Program</li><li>
And more!</li></ul></li></ul>
 
 What you will do:<ul><li>
Architect, design, engineer, and deploy secure hybrid cloud solutions utilizing Microsoft Azure and AWS.</li><li>
Design enterprise cloud architectures supporting mission-critical DoD systems and applications.</li><li>
Lead technical implementation of cloud modernization initiatives from concept through production deployment.</li><li>
Develop green-field cloud environments using industry best practices for security, scalability, resilience, and automation.</li><li>
Implement Infrastructure as Code (IaC) using Terraform, Azure Bicep, ARM Templates, CloudFormation, or equivalent technologies.</li><li>
Engineer cloud networking solutions integrating on-premises infrastructure with Azure and AWS.</li><li>
Deploy cloud-native security capabilities, monitoring, logging, backup, disaster recovery, and operational management solutions.</li><li>
Implement automation using PowerShell, Azure CLI, AWS CLI, Python, or similar scripting languages.</li><li>
Collaborate with cybersecurity and engineering teams to ensure compliance with DoD security requirements and accreditation standards.</li><li>
Support development of cloud roadmaps and technical strategies that advance enterprise cloud adoption.</li><li>
Evaluate emerging cloud technologies and recommend innovative technical solutions.</li><li>
Provide technical guidance, mentorship, and leadership to cloud engineering team members as required.</li></ul> 

What you will bring:<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline with 12+ years of relevant experience; additional experience may be considered in lieu of a degree.</li><li>
Active DoD Top Secret security clearance with SCI eligibility.</li><li>
Current DoD 8570/8140 IAT Level II certification (Security+, CySA+, CCNA Security, or equivalent).</li><li>
Current Microsoft Certified: Azure Solutions Architect Expert certification.</li><li>
Minimum of five years of experience architecting and implementing Microsoft Azure cloud solutions.</li><li>
Demonstrated experience designing hybrid cloud environments integrating on-premises infrastructure with Azure.</li><li>
Strong hands-on experience deploying Azure compute, networking, storage, security, identity, and management services.</li><li>
Experience engineering identity, authorization, and access control solutions including Entra ID and Enterprise ICAM.</li><li>
Strong working knowledge of cloud security principles, Zero Trust concepts, and NIST cybersecurity guidance. This includes integration with SIEM/SOAR (Microsoft Sentinel and Defender XDR), enabling Zero Trust policy and governance across the multi-cloud environment, and implementation of ZT architecture leveraging Microsoft and common DoD technologies. This includes working knowledge of comply-to-connect, Zero Trust Network Access, Role- and Attribute- Based Access Controls (RBAC/ABAC),</li><li>
Working knowledge of Purview or similar data governance platforms.</li><li>
Experience implementing Infrastructure as Code and cloud automation.</li><li>
Experience with PowerShell, Azure CLI, Python, or comparable scripting languages.</li><li>
Excellent analytical, communication, and technical documentation skills.</li><li>
Ability to work effectively in a dynamic, mission-focused environment.</li></ul> 

How will you wow us:<ul><li>
AWS Certified Solutions Architect &ndash; Professional certification.</li><li>
Experience architecting and implementing enterprise AWS environments.</li><li>
Familiarity with Department of Defense enterprise cloud initiatives, including the DoD Joint Tenant and Joint Warfighting Cloud Capability (JWCC).</li><li>
Understanding of the role cloud technologies play in implementing the DoD Zero Trust Strategy.</li><li>
Experience with Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), or Red Hat OpenShift.</li><li>
Experience with Azure Arc or other hybrid cloud management platforms.</li><li>
Familiarity with DevSecOps methodologies and CI/CD pipelines.</li><li>
Experience leading technical teams or serving as a senior technical lead on cloud engineering projects.</li></ul> 
JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers&rsquo; mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. 
 
JCS is both a Great Place to Work and a Top Places to Work certified company. 
 
Our employees embody our core values, and we are looking for others who do too!<ul><li>
Customer Experience: Strive for excellence and delight our clients</li><li>
Innovation: Embrace creative thinking to enable continual growth and powerful solutions</li><li>
Accountability: Take ownership of and pride in our actions and service delivery</li><li>
Inspire: Be inspired to be your best self and have fun in the process</li><li>
Integrity: Do the right thing, the right way, every time!</li><li>
Stewardship: The careful and responsible management of something entrusted to our care.</li></ul> 
At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $159,000 - $173,000. 
 
Commitment to Non-Discrimination
 
All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. 
 
NOTICE: Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come from @JCSSolutions.com. We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app.
WfGXCA55Af</div>

Hybrid Multi-Cloud Engineer SME

Occam Solutions

<div>Primary Responsibility 
The DevSecOps Engineer shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment. 
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services. 
Duties and Responsibilities

The DevSecOps Engineer shall:
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul> 


Minimum Qualifications

The DevSecOps Engineer shall meet the requirements for the &quot;DevSecOps Engineer &ndash; Intermediate&quot; labor category as defined in the CHESS ITES-3S contract vehicle and possess the following additional qualifications:
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within AWS GovCloud, Azure Government, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under FedRAMP High, DoD Impact Level 5 (IL5), or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li> 
</ul>
Qualifications
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

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

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
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.<h2 class="jobSectionHeader">
Key Responsibilities</h2><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><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><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><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><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><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><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><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><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><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><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><h2 class="jobSectionHeader">
Qualifications</h2><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><h2 class="jobSectionHeader">
Preferred Skills</h2><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><h2 class="jobSectionHeader">
Key Technology Stack</h2><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>
kmeseaCmpf</div>

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

Sonata Software

<div>
 
 
 CSA GD Job Description for Windows Server &amp; Client along with SCCM &amp; Intune. (Egypt)
 
 
 
 We are seeking a highly skilled and experienced Platforms Architect to join our team. The ideal candidate will have extensive knowledge and hands-on experience with
 
 Windows Server &amp; Client along with SCCM &amp; Intune. (Above 10 yrs experience with English and Arabic)
 
 
 
 
 Windows Server.
 
 
 
 The Microsoft Platform Engineer (Client, servers and virtualization) Engineer role requires knowledge and experience in a number of the following technologies/areas:
 
 <ul>
 <li>
 Experience with Deployment technologies like WDS, MDT, High Availability technologies like storage Backup Hyper-V.
 </li>
 <li>
 Expertise on Storage SAN NAS DAS understanding of storage stack its architecture.
 </li>
 <li>
 Virtualization (Hyper-V) : Monolithic and Microkernel, Hyper-V ring Architecture.
 </li>
 <li>
 VHD and AVHDX Merging Checking integrity with its differencing chain.
 </li>
 <li>
 Failover, Planned Failover, Test Failure, Unplanned Failover.
 </li>
 <li>
 Hyper-V Migration.
 </li>
 <li>
 Windows as a service with its deployment rings concepts, co-management with MEMCM is an added advantage.
 </li>
 <li>
 Troubleshooting windows updates issues and understanding of Component based servicing.
 </li>
 <li>
 Understanding of Patch Management and experience with Windows Server Update Services (WSUS).
 </li>
 <li>
 Windows Server Operating System knowledge which includes understanding of NTFS/Share Permissions, File Sharing, Performance Monitoring, Event logging, Task Manager, Windows Firewall, User and Group Management.
 </li>
 <li>
 Understanding of WMI and familiarity with WMI queries
 </li>
 <li>
 Active Directory concepts such as Kerberos, LDAP, Sites and Security Groups.
 </li>
 <li>
 Understanding of TCP/IP and other networking services: DNS, WINS, DHCP, Routing.
 </li>
 <li>
 Exceptional Problem-Solving and Communication Skills - Spoken and written English (including technical writing).
 </li>
 </ul>
 
 
 
 
 
 Windows client
 
 
 
 Role type Customer Engineer - CSA Skills Required Broad knowledge of Windows Server &amp; Windows 10 and Windows 11 platforms, including deployment, management, and troubleshooting.
 
 
 Expertise in Windows 365, providing seamless hybrid work environments by integrating with Azure Virtual Desktop.
 
 
 Proficiency in Microsoft Intune for device management, including application deployment, security baselines, and dynamic provisioning.
 
 
 Experience with Windows Hello for Business, Windows Sandbox Management, and Endpoint Analytics for Windows 11.
 
 
 Ability to manage and configure Windows 365 Cloud PCs, ensuring consistent and uninterrupted work experiences.
 
 
 Windows &amp; Cloud Environments Windows 10/11 &ndash; Deployment, configuration, troubleshooting
 
 
 Windows 365 Cloud PC
 
 
 &ndash; Provisioning, optimization, licensing, and performance tuning Entra ID (Azure AD) Hybrid Join &amp; Entra Join
 
 
 &ndash; Configuration and troubleshooting Windows Update for Business (WUFB)
 
 
 &ndash; Update compliance and management LAPS (Local Administrator Password Solution) &amp; Windows LAPS
 
 
 &ndash; Configuration, management, and differences KMS / MAK Licensing / Cloud-based licensing
 
 
 &ndash; For W365 and traditional enterprise activation Virtual Desktop &amp; Cloud Solutions Windows 365 vs. Azure Virtual Desktop (AVD)
 
 
 &ndash; Use case comparison and best practices Networking &amp; Bandwidth Tuning
 
 
 &ndash; Optimizing Cloud PC performance Security &amp; Compliance Microsoft Defender for Endpoint (MDE)
 
 
 &ndash; Security policies, monitoring, and integrations Conditional Access &amp; Device Compliance
 
 
 &ndash; Enforcing security baselines (GPOs, Intune at a high level) BitLocker &amp; Windows Hello for Business
 
 
 &ndash; Encryption and authentication Security Standards &amp; Baselines
 
 
 &ndash; NIST 800-53, Zero Trust principles Application Management &amp; Deployment Winget &amp; MSIX Packaging
 
 
 &ndash; Modern app deployment Microsoft Store for Business (MsFB) Private Store Deprecation
 
 
 &ndash; Transition planning Identity &amp; Authentication Entra AD (Azure AD) &amp; Hybrid Join
 
 
 &ndash; When and how to use them Single Sign-On (SSO) &amp; Multi-Factor Authentication (MFA)
 
 
 &ndash; Securing endpoints RBAC (Role-Based Access Control)
 
 
 &ndash; Ensuring scoped access Networking &amp; Connectivity VPN &amp; Always-On VPN
 
 
 &ndash; Secure remote access Cloud PC Networking
 
 
 &ndash; Latency, bandwidth, and connectivity considerations Wi-Fi Authentication
 
 
 &ndash; 802.1X, certificate-based authentication DNS, DHCP, Firewall Basics
 
 
 &ndash; Endpoint connectivity essentials Monitoring &amp; Troubleshooting Windows Event Logs Perf Logs &amp; Defender Logs
 
 
 &ndash; Digging into issues Performance Monitoring
 
 
 &ndash; Task Manager, Resource Monitor, Sysinternals tools Remote Troubleshooting
 
 
 &ndash; Quick Assist, Remote Desktop Other Essential Skills Problem-Solving Mindset
 
 
 &ndash; Can diagnose and resolve complex issues Scripting &amp; Automation
 
 
 &ndash; PowerShell for automation and remediation Documentation &amp; Knowledge Sharing
 
 
 &ndash; Creating technical guides and best practices Collaboration
 
 
 &ndash; Working cross-functionally with security, networking, and IT teams User-Centric Approach
 
 
 &ndash; Balancing security and usability Optional Skills 8+ years&rsquo; experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting
 
 
 
 SCCM/Intune Customer Engineer
 
 
 
 We are looking for a SCCM/Intune Customer Engineer to provide technical support for Microsoft Endpoint Configuration Manager (SCCM) and Microsoft Intune environments. This role focuses on assisting customers with request resolution, troubleshooting, and day-to-day operational support, helping ensure reliable endpoint management across on-premises and cloud-based devices.
 
 
 Key Responsibilities
 
 
 &bull; Responsibilities include, but are not limited to, the following examples:
 
 
 &bull; Provide Tier 3 support to customers for technical requests related to SCCM and Intune environments.
 
 
 &bull; Proactively review customer concerns and provide recommendations to improve endpoint management, user experience, and policy compliance.
 
 
 &bull; Investigate and resolve requests related to:
 
 
 &bull; - SCCM: application deployment, task sequences, driver packages, software update groups (SUGs), boundaries and boundary groups, distribution point health, and client push installation.
 
 
 &bull; - Intune: device compliance policies, configuration profiles, app protection policies, Autopilot deployment profiles, and co-management setup.
 
 
 &bull; Support mobile device management (MDM) requests, including:
 
 
 &bull; - Enrollment and management of iOS, Android, and Windows 10/11 devices.
 
 
 &bull; - Mobile app deployment via Intune (store apps, LOB apps, and web links).
 
 
 &bull; - Addressing customer requests related to enrollment challenges, access configurations, and policy enforcement across mobile platforms.
 
 
 &bull; Assist customers with transitioning workloads from SCCM to Intune, including Windows Update for Business, endpoint security, and app deployment.
 
 
 &bull; Analyze logs and diagnostics (e.g., CMTrace, Event Viewer, Intune troubleshooting blade, MDM Diagnostic stool) to identify root causes and resolve requests efficiently.
 
 
 &bull; Provide clear, professional technical guidance to customers and internal teams, adjusting communication style based on audience and context.
 
 
 &bull; Document support requests, investigation steps, resolutions, and known best practices.
 
 
 &bull; Collaborate with engineering or escalation teams when advanced troubleshooting or deeper investigation is required.
 
 
 
 
 
 Soft Skills &amp; Presentation skills
 
 
 &bull; Strong communication skills with the ability to translate complex technical topics into simple, customer-friendly language.
 
 
 &bull; Active listening and empathy when engaging with end users or customer teams.
 
 
 &bull; Adaptable and calm under pressure, especially when working with high-impact or time-sensitive support requests.
 
 
 &bull; Excellent time management, prioritization, and follow-through. &bull; Strong sense of ownership and accountability for customer experience and outcomes.
 
 
 &bull; Collaborative mindset with a willingness to work cross-functionally to drive resol
 
 
 
 
 
 Good to have : Azure certifications (Azure Solutions Architect Expert; Azure Security Engineer Associate; Azure Administrator Associate)
 
 
 Understanding of competitor clouds and how they compare to Microsoft solutions.
 
 
 Technical experience with hybrid infrastructures, architecture designs, and technology management.
 
 
 Proven track record in successfully planning, deploying, operating, and optimizing cloud environments.
 
 
 Advanced Microsoft certifications are preferred.
 
</div>

Customer Solutions Architect

Integrant

<div>We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team. The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python. If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment.
If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives.
Responsibilities:<ul><li>
Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments.</li><li>
Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI</li><li>
Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies.</li><li>
Proficiency in scripting languages such as Bash, Python for automation and performance tuning.</li><li>
Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking.</li><li>
Configure and maintain firewalls, load balancers, and VPNs.</li><li>
Proven ability to troubleshoot complex system and networking issues in large-scale clusters.</li><li>
Install and utilize monitoring tools to ensure the health, performance, and security of systems.</li><li>
Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions.</li><li>
Apply knowledge of cybersecurity best practices to enhance the security posture of systems.</li><li>
Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment.</li><li>
Possess a good understanding of the software development lifecycle to collaborate effectively with development teams.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, Information Technology, or a related field with 5+ years of experience.</li><li>
Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies.</li><li>
Strong knowledge and hands-on experience with Docker containers and Kubernetes.</li><li>
Interaction with at least one major cloud provider (AWS, Azure, or Google).</li><li>
Understanding and application of cybersecurity principles.</li><li>
Proficiency in infrastructure-as-code tools like Terraform and Ansible.</li><li>
Excellent scripting skills in Bash and Python.</li><li>
Familiarity with the software development lifecycle.</li><li>
Strong knowledge of Linux operating systems.</li></ul>
Preferred Experience:<ul><li>
CKA/CKAD/CKS certification.</li><li>
Certifications in relevant DevOps, cloud, and cybersecurity domains.</li><li>
Additional scripting languages and automation tool proficiency.</li><li>
Active participation in community forums or open-source projects.</li></ul> 

Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Employee parking space</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi</li>
<li>Social insurance</li></ul></div>

Principal SysOps Engineer

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