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configuration change engineer Jobs in Riyadh

configuration change engineer

cloud software engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities. 
Key Responsibilities:<ul><li>
Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services.</li><li>
Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager.</li><li>
Oversee the configuration and management of virtual private cloud (VPC) networking and shared services.</li><li>
Build and maintain CI/CD pipelines to automate deployment and operational processes.</li><li>
Monitor and optimize GCP performance, including resource utilization and cost management.</li><li>
Implement robust security practices across GCP resources, ensuring compliance with industry standards.</li><li>
Integrate GCP services with existing systems and applications through APIs and cloud functions.</li><li>
Collaborate with DevOps teams to streamline workflows and support development processes.</li><li>
Prepare and maintain architecture documentation, operational procedures, and best practices guidelines.</li><li>
Provide technical support to resolve issues and enhance system performance in the GCP environment.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform.</li>
<li>Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine.</li>
<li>Proficiency in scripting and programming languages such as Python, Golang, or Java.</li>
<li>Experience with containerization and orchestration technologies such as Docker and Kubernetes.</li>
<li>Familiarity with networking concepts and security practices in cloud environments.</li>
<li>Strong analytical and troubleshooting skills with attention to detail.</li>
<li>Effective communication skills for collaboration and presenting technical information clearly.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred.</li>
<li>Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services.</li>
<li>Knowledge of monitoring and logging tools such as Stackdriver or Prometheus.</li>
<li>Understanding of DevOps methodologies and practices.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services
 </li>
 <li>
 Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager
 </li>
 <li>
 Oversee the configuration and management of virtual private cloud (VPC) networking and shared services
 </li>
 <li>
 Build and maintain CI/CD pipelines to automate deployment and operational processes
 </li>
 <li>
 Monitor and optimize GCP performance, including resource utilization and cost management
 </li>
 <li>
 Implement robust security practices across GCP resources, ensuring compliance with industry standards
 </li>
 <li>
 Integrate GCP services with existing systems and applications through APIs and cloud functions
 </li>
 <li>
 Collaborate with DevOps teams to streamline workflows and support development processes
 </li>
 <li>
 Prepare and maintain architecture documentation, operational procedures, and best practices guidelines
 </li>
 <li>
 Provide technical support to resolve issues and enhance system performance in the GCP environment
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform
 </li>
 <li>
 Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine
 </li>
 <li>
 Proficiency in scripting and programming languages such as Python, Golang, or Java
 </li>
 <li>
 Experience with containerization and orchestration technologies such as Docker and Kubernetes
 </li>
 <li>
 Familiarity with networking concepts and security practices in cloud environments
 </li>
 <li>
 Strong analytical and troubleshooting skills with attention to detail
 </li>
 <li>
 Effective communication skills for collaboration and presenting technical information clearly
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred
 </li>
 <li>
 Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services
 </li>
 <li>
 Knowledge of monitoring and logging tools such as Stackdriver or Prometheus
 </li>
 <li>
 Understanding of DevOps methodologies and practices
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

<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

Globant

<div>
 At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.
 
 
 We are having a
 
 Google Cloud Platform Engineer - Graduate Development Program
 
 , If you are a person who shares our passion for innovation and change. This program is critical to help you devalop the skills needed to work with the business partners and evolve and adapt to consumers' personalized expectations in this new technological era.
 
 
 You will get the chance to:
 
 
 <ul>
 <li>
 Work with professionals who have created some of the most revolutionary solutions in their fields.
 </li>
 <li>
 Make an impact and work in large-scale projects globally.
 </li>
 <li>
 Reinvent your career, role or position, within several different projects.
 
 
 
 </li>
 </ul>
 What will help you suceed:
 
 
 <ul>
 <li>
 Being a team player.
 </li>
 <li>
 Enjoy solving problems.
 </li>
 <li>
 Being motivated and energized.
 </li>
 <li>
 Excellent organizational skills.
 </li>
 <li>
 Strong written and verbal communicator.
 </li>
 <li>
 Great attention to detail.
 </li>
 <li>
 Advanced English &amp; Arabic skills.
 </li>
 <li>
 Being customer-service oriented with the ability to build strong working relationships with various lines of business.
 </li>
 <li>
 Being able to work independently in a constantly changing and sometimes ambiguous and complex environment.
 </li>
 <li>
 Being able to prioritize responsibilities to manage a large work load with very tight timelines.
 </li>
 <li>
 A university degree in areas related to technology, computer science, software engineering, AI &amp; data science or related fields.
 </li>
 <li>
 Basic knowledge in the cloud space (e.g., Java, Python, JavaScript) holding a certification (GCP, AWS... stc) would be can be beneficial.
 
 
 
 </li>
 </ul>
 This job will be filled in
 
 Riyadh onsite
 
 .
 
 
 Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.
 
 
 We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills, qualifications, experience, and location. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant&rsquo;s Benefits.
</div>

Google Cloud Engineer - Graduate Development Program

<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

<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 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

Explore 564+ Cloud software engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

564 cloud software engineer jobs In Riyadh

Google Cloud Engineer

Google Cloud Engineer

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Google Cloud Engineer - Graduate Development Program

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Google Cloud Security Engineer.

Google Cloud Application Modernization Specialist