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cloud operations engineer

Takamol Holding

<div>
 
 We are seeking an experienced
 
 Senior Cloud Engineer
 
 to design, implement, and operate scalable and secure infrastructure across cloud and hybrid environments, with a strong focus on
 
 Google Cloud Platform (GCP)
 
 .
 
 
 This role plays a critical part in maintaining highly available and resilient infrastructure supporting mission-critical workloads. The ideal candidate will also bring hands-on experience in virtualization, backup and disaster recovery, and automation technologies.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Cloud Engineering &amp; Multi-Cloud Infrastructure
 
 
 <ul>
 <li>
 Design, deploy, and manage production workloads on Google Cloud Platform (GCP).
 </li>
 <li>
 Implement secure and scalable hybrid cloud architectures.
 </li>
 <li>
 Manage core cloud services including compute, networking, storage, IAM, and security controls.
 </li>
 <li>
 Support cloud migration initiatives and multi-cloud operations across GCP, AWS, and OCI.
 </li>
 <li>
 Monitor cloud performance, availability, and cost optimization.
 </li>
 </ul>
 
 
 Virtualization &amp; Infrastructure Management
 
 
 <ul>
 <li>
 Administer VMware environments including vSphere and ESXi.
 </li>
 <li>
 Manage Linux-based infrastructure environments.
 </li>
 <li>
 Implement high availability solutions and load balancing mechanisms.
 </li>
 <li>
 Perform infrastructure upgrades, migrations, and expansions.
 </li>
 </ul>
 
 
 Backup, Disaster Recovery &amp; Business Continuity
 
 
 <ul>
 <li>
 Design and maintain backup and replication strategies using Veeam.
 </li>
 <li>
 Conduct disaster recovery testing and real recovery operations.
 </li>
 <li>
 Implement secure data protection practices including encryption and immutability.
 </li>
 </ul>
 
 
 Automation &amp; Platform Operations
 
 
 <ul>
 <li>
 Automate infrastructure deployment using Terraform and Ansible.
 </li>
 <li>
 Develop operational scripts using Bash and Python.
 </li>
 <li>
 Manage containerized workloads using Docker.
 </li>
 </ul>
 
 
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security hardening aligned with NCA and CIS standards.
 </li>
 <li>
 Manage identity, access controls, certificates, and encryption mechanisms.
 </li>
 <li>
 Configure and maintain web application firewall and security controls.
 </li>
 </ul>
 
 
 Monitoring &amp; Reliability
 
 
 <ul>
 <li>
 Deploy and maintain monitoring and observability platforms.
 </li>
 <li>
 Support incident response and root cause analysis.
 </li>
 <li>
 Ensure high availability and reliability across infrastructure environments.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 4+ years of experience in Cloud or Infrastructure Engineering.
 </li>
 <li>
 Strong hands-on experience with GCP.
 </li>
 <li>
 Proven experience in VMware and enterprise backup solutions.
 </li>
 <li>
 Strong Linux administration skills.
 </li>
 <li>
 Experience in scripting and automation.
 </li>
 </ul>
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Google Cloud Professional Cloud Engineer
 </li>
 <li>
 RHCSA / RHCE
 </li>
 <li>
 AWS or OCI Certifications
 </li>
 </ul>
 
 
</div>

Senior Cloud Engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications. 
Key Responsibilities:<ul><li>
Design, implement, and manage security controls and procedures for GCP services and resources.</li><li>
Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures.</li><li>
Monitor and analyze security alerts, events, and incidents across the cloud environment.</li><li>
Develop and enforce security policies, standards, and best practices for cloud operations.</li><li>
Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively.</li><li>
Conduct regular security assessments and collaborate with development teams to ensure secure coding practices.</li><li>
Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security.</li><li>
Provide security training and awareness for engineering teams to promote a security-first culture.</li><li>
Collaborate with incident response teams to investigate and respond to security incidents effectively.</li><li>
Maintain documentation of security policies, architecture, and processes related to GCP.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field.</li>
<li>3+ years of experience in cloud security, specifically within Google Cloud Platform.</li>
<li>Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR).</li>
<li>Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity.</li>
<li>Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP.</li>
<li>Familiarity with network security principles and solutions, such as firewalls and VPNs.</li>
<li>Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios.</li>
<li>Strong communication skills to effectively convey technical information to diverse audiences.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable.</li>
<li>Experience in scripting or programming languages, such as Python or Bash, for security automation.</li>
<li>Knowledge of DevSecOps practices and tools.</li>
<li>Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Security Engineer.

<div>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. 
Key Responsibilities:<ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Data Engineer

MASTER-WORKS

<div>We are seeking an Operations Support Engineer to support and monitor cloud-based data and analytics platforms. The role focuses on ensuring system stability, performance optimization, incident resolution, and operational excellence across GCP analytics environments and Hadoop ecosystems.
Key Responsibilities
Monitor system health, uptime, and performance of the Slisor portal and backend services (dashboards, APIs, workflows).
Lead incident triage, root cause analysis, and escalation with engineering teams and vendors.
Support daily operations of GCP analytics services and data pipelines.
Oversee ingestion, storage, and consumption layers ensuring scalability and security.
Track anonymized dataset transfers from on-prem DS/AI platforms to cloud.
Manage user access, provisioning, and ticket-based support requests.
Generate operational dashboards (uptime, error trends, campaign metrics, usage analytics).
Participate in knowledge transfer sessions during new releases.
Provide on-call/off-hours support for critical incidents. 
 
 
Requirements 
<ul><li>
3+ years of experience in platform/application support within data or analytics environments
</li><li>Strong knowledge of GCP analytics services (BigQuery, Cloud Functions, IAM)
</li><li>Hands-on experience with Hadoop ecosystem (Kafka, Spark, Hive, Sqoop, Oozie, HDFS)
</li><li>Strong SQL expertise and data pipeline performance optimization
</li><li>Experience with ETL pipelines, monitoring tools, and logging systems
</li><li>Understanding of APIs, microservices, and system integrations (CRM/BSS adapters)
</li><li>Experience using ticketing systems (Jira, ServiceNow, or similar)
</li><li>Ability to analyze logs, troubleshoot performance issues, and coordinate with engineering teams
</li><li>Familiarity with data governance, metadata management, lineage, and data quality frameworks
</li></ul><ul><li>Preferred Qualifications (Good-to-Have)</li><li><ul><li>
Experience with GCP (BigQuery, Dataflow, Pub/Sub) or AWS (Glue, Redshift, Kinesis)
</li><li>Data security and masking tools (Apache Ranger, Voltage, IAM policies)
</li><li>Knowledge of NDMO standards and enterprise data frameworks (DAMA, DCAM)
</li><li>BI/Visualization tools (Power BI, Tableau, MicroStrategy, Looker Studio)
</li><li>CI/CD, GitOps, Docker, Kubernetes, Terraform
</li><li>Exposure to telecom domain (BSS, OSS, CDR, usage analytics, CLDM)
</li><li>Understanding of data privacy, consent management, k-anonymity</li></ul></li></ul></div>

Operations Support Engineer

<div>M&uuml;ller&rsquo;s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers. 
Key Responsibilities:<ul><li>
Evaluate existing application architectures and identify opportunities for modernization using GCP services.</li><li>
Design and implement cloud-native architectures that enhance application performance and scalability.</li><li>
Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions.</li><li>
Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine.</li><li>
Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies.</li><li>
Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations.</li><li>
Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards.</li><li>
Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization.</li><li>
Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform.</li>
<li>Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes.</li>
<li>Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery.</li>
<li>Experience with programming languages such as Java, Python, or Go in developing cloud-native applications.</li>
<li>Solid knowledge of DevOps practices and tools for continuous integration and delivery.</li>
<li>Excellent communication skills, with the ability to guide and influence clients and technical teams.</li>
<li>Strong problem-solving abilities and a passion for technology and innovation.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus.</li>
<li>Experience with legacy application modernization and migration strategies.</li>
<li>Familiarity with Agile methodologies and practices.</li>
<li>Previous experience working directly with clients in consulting or customer-facing roles.</li> 
</ul> 
 
Benefits 
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Google Cloud Application Modernization Specialist

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Title: Cloud Security Architect</h1>
Location: Riyadh, Kingdom of Saudi Arabia (Onsite) 
Industry: Banking / Financial Services 
Employment Type: Full-Time 
Experience Required: 10+ Years<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking a highly experienced and strategic Cloud Security Architect to lead the design and implementation of secure cloud architectures for a leading bank in KSA. The ideal candidate will be responsible for defining cloud security strategy, governance frameworks, and ensuring compliance with banking regulations within the Kingdom of Saudi Arabia.
This role requires deep expertise in cloud platforms, cybersecurity architecture, regulatory compliance, and financial industry standards.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement secure cloud architectures across public, private, and hybrid cloud environments.</li><li>
Develop cloud security strategy aligned with business objectives and regulatory requirements in KSA.</li><li>
Ensure compliance with Saudi Central Bank (SAMA) cybersecurity and cloud computing frameworks.</li><li>
Lead security architecture reviews for cloud migration initiatives and digital transformation programs.</li><li>
Implement cloud-native security controls, including IAM, encryption, DLP, SIEM integration, and zero-trust architecture.</li><li>
Conduct threat modeling, risk assessments, and security design reviews.</li><li>
Define cloud security governance, policies, and standards.</li><li>
Collaborate with DevOps teams to implement DevSecOps practices.</li><li>
Oversee cloud security posture management (CSPM) and continuous monitoring.</li><li>
Ensure compliance with international standards such as ISO 27001, NCA ECC, PCI-DSS, and SWIFT CSCF.</li><li>
Manage third-party cloud security risks and vendor assessments.</li><li>
Provide guidance during regulatory audits and cybersecurity assessments.</li></ul><h2 class="jobSectionHeader"> 
Technical Requirements</h2><ul><li>
Strong experience with at least one major cloud platform:<ul><li>
Amazon Web Services (AWS)</li><li>
Microsoft Azure</li><li>
Google Cloud</li></ul></li><li>
Expertise in:<ul><li>
Cloud network security architecture</li><li>
Identity &amp; Access Management (IAM)</li><li>
Encryption &amp; Key Management (KMS, HSM)</li><li>
Cloud workload protection platforms (CWPP)</li><li>
Container and Kubernetes security</li><li>
API security &amp; microservices architecture</li><li>
Zero Trust Architecture</li><li>
Secure Landing Zone design</li></ul></li><li>
Experience with security tools such as SIEM, SOAR, EDR, CASB.</li><li>
Strong understanding of banking regulatory and compliance requirements in KSA.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Security, or related field.</li><li>
10+ years of experience in cybersecurity, with at least 5+ years in cloud security architecture.</li><li>
Experience in banking or financial services is mandatory.</li><li>
Professional certifications preferred:<ul><li>
AWS Certified Security &ndash; Specialty</li><li>
Azure Security Engineer Associate</li><li>
Google Professional Cloud Security Engineer</li><li>
CISSP</li><li>
CCSP</li><li>
CISM</li></ul></li></ul><h2 class="jobSectionHeader"> 
Preferred Skills</h2><ul><li>
Experience working in regulated financial environments in KSA.</li><li>
Strong knowledge of SAMA CSF and Cloud Framework.</li><li>
Excellent stakeholder management and communication skills.</li><li>
Arabic language proficiency is preferred.</li><li>
Ability to lead security transformation initiatives.</li></ul>
ESxVYup2p0</div>

Cloud Security Architect

<div>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. 
Key Responsibilities:<ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud AI Specialist

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