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principal site reliability engineer saas

SimCorp

<div>
 
 Please note: This role is open to Saudi nationals only
 
 
 
 Not a Saudi national ? We have many exciting opportunities across our organization we encourage you to explore other roles at SimCorp.
 
 
 
 What Makes Us, Us
 
 
 
 Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!
 
 
 At its foundation, SimCorp is guided by our values &mdash; caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.
 
 
 If you like what we&rsquo;re saying, keep reading!
 
 
 
 WHY THIS ROLE IS IMPORTANT TO US
 
 
 
 The Principal Site Reliability Engineer at SimCorp, at the IC6 grade, is responsible for ensuring the availability, reliability, and performance of mission-critical systems and services. With typically 5-8 years of experience in site reliability engineering, cloud infrastructure, or a related field, this role works independently to design and implement robust solutions, automate processes, and proactively address system issues. The Principal Site Reliability Engineer collaborates closely with development, operations, and IT teams to ensure high-quality service delivery and operational excellence.
 
 
 
 Key Responsibilities
 
 
 
 
 WHAT YOU WILL BE RESPONSIBLE FOR
 
 
 
 <ul>
 <li>
 Lead the design, implementation, and management of systems and solutions to improve system reliability and scalability
 </li>
 <li>
 Automate operational tasks and processes to improve efficiency, reduce manual intervention, and enhance system performance
 </li>
 <li>
 Monitor system performance and availability, proactively identifying and resolving issues before they impact users or services
 </li>
 <li>
 Collaborate with development teams to integrate reliability-focused practices into the software development lifecycle
 </li>
 <li>
 Conduct root cause analysis for incidents and outages, implementing long-term fixes and preventive measures
 </li>
 <li>
 Develop and maintain infrastructure monitoring, alerting, and logging systems to ensure visibility and proactive management of systems
 </li>
 <li>
 Ensure the security, performance, and scalability of cloud-based infrastructure, following best practices for configuration management and deployment
 </li>
 <li>
 Provide mentorship and guidance to junior engineers, promoting best practices and knowledge-sharing within the team
 </li>
 <li>
 Engage with cross-functional teams to ensure reliability and performance are prioritized across the organization's systems and services
 
 
 </li>
 </ul>
 
 Type of Work This Role Could Engage With
 
 
 
 <ul>
 <li>
 Leading efforts to design and implement solutions to enhance the reliability, scalability, and availability of critical systems
 </li>
 <li>
 Collaborating with development teams to ensure that systems and services are built with reliability in mind
 </li>
 <li>
 Automating monitoring, incident management, and infrastructure provisioning to streamline operations and enhance efficiency
 </li>
 <li>
 Analyzing data from system performance metrics to identify trends, bottlenecks, and areas for improvement
 </li>
 <li>
 Participating in incident response and on-call rotations, ensuring rapid resolution of critical issues
 </li>
 <li>
 Building and managing infrastructure as code (IaC) to ensure consistent and scalable system deployment
 </li>
 <li>
 Engaging in capacity planning and performance tuning to meet business requirements and optimize system performance
 </li>
 <li>
 Continuously evaluating and incorporating emerging technologies, tools, and practices to improve system reliability
 
 
 </li>
 </ul>
 
 What We Value
 
 
 
 <ul>
 <li>
 Site Reliability Engineering Expertise : deep knowledge of SRE principles, practices, and tools to maintain and improve system reliability
 </li>
 <li>
 Cloud Infrastructure Proficiency : hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools
 </li>
 <li>
 Automation &amp; Scripting : strong ability to automate operational tasks, reducing manual toil and improving system efficiency
 </li>
 <li>
 Monitoring &amp; Observability : experience building and maintaining robust monitoring, alerting, and logging systems
 </li>
 <li>
 Incident Management &amp; Root Cause Analysis : proven ability to respond to incidents rapidly and implement lasting preventive measures
 </li>
 <li>
 Collaboration &amp; Communication : ability to work effectively across development, operations, and IT teams to drive reliability outcomes
 </li>
 <li>
 Mentorship &amp; Leadership : commitment to growing junior team members and fostering a culture of engineering excellence
 </li>
 <li>
 Analytical Mindset : data-driven approach to performance tuning, capacity planning, and continuous improvement
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 SimCorp provides a range of benefits that may influence decisions regarding job offers. With operations in more than 30 offices globally, the benefits package can differ depending on the country. SimCorp implements a global hybrid work policy, requiring employees to be in the office two days per week and permitting remote work on other days. Additional information about location-specific benefits is available from the recruiter.
 
 
 
 NEXT STEPS
 
 
 
 Please send us your application in English via our career site as soon as possible, we process incoming applications continually.
 
 
 
 Please note that only applications sent through our system will be processed.
 
 
 
 At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.
 
 
 For any questions you are welcome to contact Azeta GUITI our Lead Talent Acquisition Partner. If you are interested in being a part of SimCorp and you can see yourself contributing and thriving in the position described above, but are not sure this role is suitable, submit your CV anyway.
 
 
 SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.
 
 
 
 
 We are eager to continually improve our talent acquisition process and make everyone&rsquo;s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.
 
 
 
 Who We Are
 
 
 
 For over 50 years, we have worked closely with investment and asset managers to become the world&rsquo;s leading provider of integrated investment management solutions. We are 4,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds.
 
 
 SimCorp is an independent subsidiary of the Deutsche B&ouml;rse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.
 
 
 SimCorp is an equal opportunity employer and welcome applicants from all backgrounds, without regard to race, gender, age, disability, or any other protected status under applicable law. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.
 
 
</div>

Principal Site Reliability Engineer - SaaS

<div>Please note: This role is open to Saudi nationals only
Not a Saudi national ? We have many exciting opportunities across our organization we encourage you to explore other roles at SimCorp.
WHAT MAKES US, US
Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!
At its foundation, SimCorp is guided by our values &mdash; caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.
If you like what we&rsquo;re saying, keep reading!
WHY THIS ROLE IS IMPORTANT TO US
The Principal Site Reliability Engineer at SimCorp, at the IC6 grade, is responsible for ensuring the availability, reliability, and performance of mission-critical systems and services. With typically 5-8 years of experience in site reliability engineering, cloud infrastructure, or a related field, this role works independently to design and implement robust solutions, automate processes, and proactively address system issues. The Principal Site Reliability Engineer collaborates closely with development, operations, and IT teams to ensure high-quality service delivery and operational excellence.
WHAT YOU WILL BE RESPONSIBLE FOR
Key Responsibilities
<ul><li>Lead the design, implementation, and management of systems and solutions to improve system reliability and scalability
</li><li>Automate operational tasks and processes to improve efficiency, reduce manual intervention, and enhance system performance
</li><li>Monitor system performance and availability, proactively identifying and resolving issues before they impact users or services
</li><li>Collaborate with development teams to integrate reliability-focused practices into the software development lifecycle
</li><li>Conduct root cause analysis for incidents and outages, implementing long-term fixes and preventive measures
</li><li>Develop and maintain infrastructure monitoring, alerting, and logging systems to ensure visibility and proactive management of systems
</li><li>Ensure the security, performance, and scalability of cloud-based infrastructure, following best practices for configuration management and deployment
</li><li>Provide mentorship and guidance to junior engineers, promoting best practices and knowledge-sharing within the team
</li><li>Engage with cross-functional teams to ensure reliability and performance are prioritized across the organization's systems and services
</li></ul>Type of Work This Role Could Engage With
<ul><li>Leading efforts to design and implement solutions to enhance the reliability, scalability, and availability of critical systems
</li><li>Collaborating with development teams to ensure that systems and services are built with reliability in mind
</li><li>Automating monitoring, incident management, and infrastructure provisioning to streamline operations and enhance efficiency
</li><li>Analyzing data from system performance metrics to identify trends, bottlenecks, and areas for improvement
</li><li>Participating in incident response and on-call rotations, ensuring rapid resolution of critical issues
</li><li>Building and managing infrastructure as code (IaC) to ensure consistent and scalable system deployment
</li><li>Engaging in capacity planning and performance tuning to meet business requirements and optimize system performance
</li><li>Continuously evaluating and incorporating emerging technologies, tools, and practices to improve system reliability
</li></ul>WHAT WE VALUE
<ul><li>Site Reliability Engineering Expertise : deep knowledge of SRE principles, practices, and tools to maintain and improve system reliability
</li><li>Cloud Infrastructure Proficiency : hands-on experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools
</li><li>Automation &amp; Scripting : strong ability to automate operational tasks, reducing manual toil and improving system efficiency
</li><li>Monitoring &amp; Observability : experience building and maintaining robust monitoring, alerting, and logging systems
</li><li>Incident Management &amp; Root Cause Analysis : proven ability to respond to incidents rapidly and implement lasting preventive measures
</li><li>Collaboration &amp; Communication : ability to work effectively across development, operations, and IT teams to drive reliability outcomes
</li><li>Mentorship &amp; Leadership : commitment to growing junior team members and fostering a culture of engineering excellence
</li><li>Analytical Mindset : data-driven approach to performance tuning, capacity planning, and continuous improvement
</li></ul>BENEFITS
SimCorp provides a range of benefits that may influence decisions regarding job offers. With operations in more than 30 offices globally, the benefits package can differ depending on the country. SimCorp implements a global hybrid work policy, requiring employees to be in the office two days per week and permitting remote work on other days. Additional information about location-specific benefits is available from the recruiter.
NEXT STEPS
Please send us your application in English via our career site as soon as possible, we process incoming applications continually.
Please note that only applications sent through our system will be processed.
At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.
For any questions you are welcome to contact Azeta GUITI our Lead Talent Acquisition Partner. If you are interested in being a part of SimCorp and you can see yourself contributing and thriving in the position described above, but are not sure this role is suitable, submit your CV anyway.
SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. 
We are eager to continually improve our talent acquisition process and make everyone&rsquo;s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.
WHO WE ARE
For over 50 years, we have worked closely with investment and asset managers to become the world&rsquo;s leading provider of integrated investment management solutions. We are 4,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds.
SimCorp is an independent subsidiary of the Deutsche B&ouml;rse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.
SimCorp is an equal opportunity employer and welcome applicants from all backgrounds, without regard to race, gender, age, disability, or any other protected status under applicable law. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.
#Li-Hybrid</div>

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 
 
 
 About The Role
 
 
 
 Qualcomm is seeking a
 
 Machine Learning Operations &amp; Customer Support Engineer
 
 within the Customer Engineering team to support strategic customers deploying AI inference workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 
 
 This is a
 
 customer-facing, production-critical role
 
 focused on ensuring maximum system uptime, reliability, and performance, while resolving customer support cases within defined SLAs/KPIs. The role requires deep expertise across ML inference pipelines, systems troubleshooting, and data center operations, working closely with customers, internal engineering, and product teams.
 
 
 The ideal candidate will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/MLOps automation, and cross functional collaboration.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Customer Support &amp; SLA Ownership
 
 
 
 <ul>
 <li>
 Act as the primary technical escalation point for customer issues related to AI inference workloads
 </li>
 <li>
 Own end-to-end case management, ensuring resolution within agreed SLAs and KPIs
 </li>
 <li>
 Drive incident response, triage, and root cause analysis (RCA).
 </li>
 <li>
 Provide timely and transparent communication to customers on issue status and resolution
 </li>
 <li>
 Maintain high levels of customer satisfaction and service reliability
 
 
 
 </li>
 </ul>
 
 Uptime, Reliability &amp; Operations
 
 
 
 <ul>
 <li>
 Ensure high availability and uptime of customer AI deployments (rack-scale systems)
 </li>
 <li>
 Monitor system health, performance metrics, and workload behavior
 </li>
 <li>
 Implement and manage failover, redundancy, and resiliency mechanisms
 </li>
 <li>
 Proactively identify risks and implement preventative actions
 
 
 
 </li>
 </ul>
 
 AI Inference Workload Support
 
 
 
 <ul>
 <li>
 Support deployment, optimization, and troubleshooting of ML inference pipelines
 </li>
 <li>
 Debug issues across model, runtime, system, and hardware layers
 </li>
 <li>
 Analyze model performance (latency, throughput, accuracy tradeoffs) in production
 </li>
 <li>
 Support frameworks such as PyTorch, TensorFlow, ONNX, and model conversion flows
 </li>
 <li>
 Assist in model optimization techniques (quantization, batching, compilation, runtime tuning)
 
 
 
 </li>
 </ul>
 
 System &amp; Infrastructure Engineering
 
 
 
 <ul>
 <li>
 Support bare-metal and virtualized environments for AI workloads
 </li>
 <li>
 Troubleshoot issues across Linux OS, drivers, firmware, and networking stack
 </li>
 <li>
 Support deployment and maintenance using Infrastructure as Code (IaC) and automation tools
 </li>
 <li>
 Work with DCIM tools and monitoring systems for infrastructure visibility
 </li>
 <li>
 Coordinate with hardware vendors for accelerator, server, and networking issues
 
 
 
 </li>
 </ul>
 
 Monitoring, Observability &amp; Automation
 
 
 
 <ul>
 <li>
 Implement and manage monitoring systems (logs, metrics, traces)
 </li>
 <li>
 Build dashboards for uptime, SLA adherence, performance, and utilization
 </li>
 <li>
 Automate repetitive operational tasks using scripts and workflows
 </li>
 <li>
 Establish and enforce runbooks and standard operating procedures (SOPs)
 
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with Customer Engineering, Product, Engineering, and Support teams
 </li>
 <li>
 Provide structured feedback to engineering for product improvements and defect resolution
 </li>
 <li>
 Support customer onboarding, deployment readiness, and operational handover
 </li>
 <li>
 Participate in customer reviews, escalations, and technical deep dives
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
 </li>
 <li>
 10&ndash;15+ years of experience in ML operations, systems engineering, or customer support engineering
 </li>
 <li>
 Proven experience in customer-facing technical roles with SLA-driven support models
 </li>
 <li>
 Strong experience with AI/ML inference workloads in production environments
 </li>
 <li>
 Deep understanding of end-to-end ML inference pipelines
 </li>
 <li>
 Hands-on experience with Linux systems, system bring-up, drivers, and debugging tools
 </li>
 <li>
 Strong understanding of AI accelerator architecture and system bottlenecks
 </li>
 <li>
 Experience with model deployment, optimization, and performance tuning
 </li>
 <li>
 Experience with data center operations and rack-scale deployments
 </li>
 <li>
 Familiarity with bare-metal, virtualization, and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of networking concepts (TCP/IP, RDMA, storage systems)
 </li>
 <li>
 Experience with cloud and hybrid environments
 </li>
 <li>
 Experience with monitoring/observability tools (Prometheus, Grafana, ELK, etc.)
 </li>
 <li>
 Strong skills in incident management, RCA, and production operations
 </li>
 <li>
 Experience defining and tracking SLAs, KPIs, and operational metrics
 </li>
 <li>
 Proficiency in Python, Bash, or similar scripting languages
 </li>
 <li>
 Experience in automation, DevOps, and MLOps tooling
 </li>
 <li>
 Strong problem-solving and diagnostic skills
 </li>
 <li>
 Excellent communication and customer engagement skills
 </li>
 <li>
 Ability to operate in high-pressure, mission-critical environments
 </li>
 <li>
 High attention to detail with a focus on quality, reliability, and accountability
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Qualcomm Cloud AI or similar AI accelerator platforms
 </li>
 <li>
 Experience supporting large-scale AI deployments (LLMs, CV pipelines, generative AI)
 </li>
 <li>
 Familiarity with inference runtimes (TensorRT, ONNX Runtime, custom runtimes)
 </li>
 <li>
 Experience with CI/CD pipelines for ML deployment
 
 
 
 </li>
 </ul>
 
 Why Join Qualcomm
 
 
 
 At Qualcomm, you&rsquo;ll work at the intersection of
 
 AI silicon, system architecture, and real
 
 ‑
 
 world deployment
 
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 
 technology direction and customer outcomes
 
 , while working with world‑class engineering and product teams.
 
 
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 <ul>
 <li>
 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

ML Operations & Customer Support Engineer, Staff/Senior Staff level - Riyadh, KSA

Astek

<div>
 
 For one of our clients in the
 
 financial services sector
 
 I'm looking for a highly skilled
 
 Lead Cloud Engineer
 
 . This key role is designed for an individual with a robust background in hybrid cloud strategies. The ideal candidate will bring hands-on expertise in managing secure, compliant on-premise to cloud migrations and contribute significantly to shaping the client's cloud infrastructure.
 
 
 
 
 
 
 This position is based in Riyadh, Saudi Arabia, and requires on-site full-time commitment.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Architect and Manage Hybrid Environments:
 
 Design and oversee integrations between on-premise and cloud infrastructures.
 </li>
 <li>
 
 Lead Migrations:
 
 Direct on-prem to cloud migrations with a focus on minimizing business risk and operational disruption.
 </li>
 <li>
 
 Design Secure Solutions:
 
 Develop secure cloud landing zones and ensure effective networking and identity integration.
 </li>
 <li>
 
 Optimize Cloud Resources:
 
 Analyze and enhance cloud costs, performance, reliability, and security.
 </li>
 <li>
 
 Ensure High Availability:
 
 Maintain performance, resilience, and security in our cloud infrastructure.
 </li>
 <li>
 
 Manage Lifecycle Operations:
 
 Conduct capacity planning, patching, and upgrades for cloud services.
 </li>
 <li>
 
 Act as Technical Authority:
 
 Provide senior-level guidance on infrastructure and cloud decisions.
 </li>
 <li>
 
 Drive Automation Initiatives:
 
 Promote Infrastructure as Code (IaC) practices and automation in cloud operations.
 </li>
 <li>
 
 Support CI/CD Pipelines:
 
 Facilitate modern application delivery through efficient CI/CD processes.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 Experience:
 
 Minimum of
 
 8 years
 
 in IT infrastructure and cloud technologies, with at least
 
 2 years
 
 in a leadership role.
 </li>
 <li>
 
 Industry Knowledge:
 
 Proven experience in the
 
 financial services
 
 sector is mandatory.
 </li>
 <li>
 
 Migration Expertise:
 
 Experience owning and executing on-prem to cloud migration projects.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Strong expertise in
 
 VMware virtualization platforms
 
 and enterprise networking.
 </li>
 <li>
 Proficiency with
 
 Google Cloud infrastructure (GCP)
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Infrastructure as Code (Terraform)
 
 .
 </li>
 <li>
 Familiarity with
 
 CI/CD tools
 
 and automation techniques.
 </li>
 <li>
 Skills in scripting languages such as
 
 PowerShell, Bash, and Python
 
 .
 </li>
 <li>
 Understanding of
 
 monitoring and logging platforms
 
 .
 </li>
 <li>
 
 Environment Experience:
 
 Comfortable working in regulated and audit-driven environments.
 </li>
 </ul>
 
 
</div>

Lead Cloud Engineer

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 About The Role
 
 
 
 As a Qualcomm Datacenter AI Solutions Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.
 
 
 Qualcomm Solution Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications.
 
 
 
 Principal Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI/ML solutions leveraging Qualcomm AI hardware, software, and ecosystem to deliver high-performance, power‑efficient, and scalable inference
 </li>
 <li>
 Develop and deploy GenAI and LLM-based applications, including model integration, fine-tuning, and optimization
 </li>
 <li>
 Apply systems-level knowledge to analyze, design, implement, and validate AI software, models, and system architecture
 </li>
 <li>
 Perform AI model benchmarking, functional analysis, and performance characterization to drive requirements and improvements
 </li>
 <li>
 Support customer engagements by optimizing AI models and workloads for deployment and inference efficiency
 </li>
 <li>
 Contribute to system-level design efforts, including requirements definition, interfaces, performance targets, and implementation
 </li>
 <li>
 Collaborate closely with cross-functional teams to implement, test, and validate AI system features
 </li>
 <li>
 Debug and triage system-level issues, perform root-cause analysis, and communicate findings clearly
 </li>
 <li>
 Stay current with advancements in AI/ML models, tools, and hardware, and apply innovative ideas to products and solutions
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Engineering, Computer Science, Information Systems, or a related field
 </li>
 <li>
 Proficiency in Python and experience with ML frameworks, APIs, REST services, and microservice-based architecture
 </li>
 <li>
 Hands-on experience building, deploying, and tuning AI/ML systems
 </li>
 <li>
 Strong understanding of GenAI architectures (e.g., transformers, diffusion models, LLMs, embeddings)
 </li>
 <li>
 Experience with large-scale AI system design, including distributed systems, fault tolerance, and event-driven architectures
 </li>
 <li>
 Familiarity with MLOps practices and ML lifecycle management
 </li>
 <li>
 Experience with containerization and automation tools (Docker, Kubernetes, Git/GitOps)
 </li>
 <li>
 Experience with model fine-tuning and/or reinforcement learning is a plus
 </li>
 <li>
 Familiarity with observability, benchmarking, and performance analysis for ML pipelines is a plus
 </li>
 <li>
 Experience working in large, matrixed organizations and collaborating across teams
 </li>
 <li>
 Strong problem-solving skills and customer-focused mindset
 </li>
 <li>
 Experience with open-source development practices
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Datacenter AI Solutions Engineer (Customer Engagement) – Riyadh, KSA

Takamol Holding

<div>
 
 Job Summary
 
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled Platform Engineer to join our Infrastrcutre team and lead the design and automation of resilient, scalable, and secure infrastructure. The ideal candidate will have strong expertise in Kubernetes , ArgoCD , Terraform , Ansible , CI/CD , and experience across public cloud platforms such as Oracle Cloud Infrastructure (OCI) , Google Cloud Platform (GCP) , and Amazon Web Services (AWS) .
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, implement, and manage Kubernetes-based platforms across public cloud environments (OCI, GCP, AWS).
 </li>
 <li>
 Drive GitOps adoption using ArgoCD for consistent and automated deployments.
 </li>
 <li>
 Build and maintain infrastructure using Terraform and ensure compliance with IaC best practices.
 </li>
 <li>
 Automate configuration and operational tasks using Ansible .
 </li>
 <li>
 Develop and manage robust CI/CD pipelines to support fast, secure, and reliable software delivery.
 </li>
 <li>
 Collaborate with development, security, and infrastructure teams to align platform solutions with business goals.
 </li>
 <li>
 Monitor, troubleshoot, and optimize infrastructure and deployment processes across cloud platforms.
 </li>
 <li>
 Enforce cloud security standards and governance policies within Kubernetes and related cloud services.
 </li>
 <li>
 Maintain thorough documentation of infrastructure design, processes, and procedures.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
 </li>
 <li>
 6 + years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE) roles.
 </li>
 <li>
 Strong hands-on experience with Kubernetes (deployment, networking, security, Helm).
 </li>
 <li>
 Proficiency in ArgoCD or similar GitOps tools (e.g., FluxCD).
 </li>
 <li>
 Expertise in Terraform for infrastructure provisioning on cloud platforms.
 </li>
 <li>
 Solid experience with Ansible for automation and configuration management.
 </li>
 <li>
 Experience with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.).
 </li>
 <li>
 Proven track record working with public cloud platforms , particularly:
 </li>
 <ul>
 <li>
 Oracle Cloud Infrastructure (OCI) &ndash; compute, networking, load balancing, block/object storage, IAM.
 </li>
 <li>
 Google Cloud Platform (GCP) &ndash; GKE, Cloud Build, IAM, VPC.
 </li>
 <li>
 Amazon Web Services (AWS) &ndash; EKS, EC2, S3, IAM, VPC.
 </li>
 </ul>
 <li>
 Proficient in Git and scripting languages (Bash, Python).
 </li>
 <li>
 Knowledge of security best practices in cloud and Kubernetes environments.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience implementing multi-cloud or hybrid-cloud architectures.
 </li>
 <li>
 Familiarity with service mesh technologies (Istio, Linkerd).
 </li>
 <li>
 Experience with monitoring, logging, and alerting tools (Prometheus, Grafana, ELK, Loki, etc.).
 </li>
 <li>
 Certifications: CKA, CKAD, Terraform Associate, AWS/GCP/OCI certifications.
 </li>
 </ul>
</div>

Expert Cloud Platform Engineer

The Connected Co

<div>
 
 One of our key clients is seeking an experienced
 
 DevOps Engineer
 
 to play a critical role in designing, implementing, and managing cloud infrastructure, deployment pipelines, and operational processes.
 
 
 
 
 
 The successful candidate will be responsible for ensuring the
 
 reliability,
 
 
 scalability, security, compliance and performance
 
 of a highly available platform while driving automation and continuous improvement across the engineering function.
 
 
 
 
 
 Salary: Up to 20k.
 
 
 To be based full time in Riyadh office
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Manage and maintain cloud infrastructure across multiple environments, ensuring security, availability, and performance.
 </li>
 <li>
 Deploy, administer, and optimize Kubernetes clusters and containerized applications.
 </li>
 <li>
 Design, implement, and support CI/CD pipelines to enable efficient and reliable software delivery.
 </li>
 <li>
 Develop and maintain Infrastructure as Code (IaC) and automation solutions to streamline operations.
 </li>
 <li>
 Implement monitoring, logging, and alerting solutions to ensure platform reliability and proactive issue resolution.
 </li>
 <li>
 Enforce security best practices, including access management, secrets management, vulnerability remediation, and infrastructure hardening.
 </li>
 <li>
 Collaborate with engineering and cybersecurity teams to support secure deployments, incident response, and compliance requirements.
 </li>
 <li>
 Maintain technical documentation and promote DevOps best practices across the organization.
 </li>
 </ul>
 
 
 
 
 
 Critical Competencies:
 
 
 <ul>
 <li>
 Strong experience with Linux system administration.
 </li>
 <li>
 Hands-on experience with GCP, AWS, or Azure (GCP preferred).
 </li>
 <li>
 Proven expertise in Kubernetes cluster management.
 </li>
 <li>
 Experience with CI/CD tools, including ArgoCD and GitHub Actions.
 </li>
 <li>
 Proficiency in Terraform for Infrastructure as Code.
 </li>
 <li>
 Experience with Ansible for configuration management.
 </li>
 <li>
 Strong knowledge of observability tools, including Prometheus and Grafana.
 </li>
 <li>
 Experience managing secrets using HashiCorp Vault.
 </li>
 <li>
 Proficiency in Bash and Python scripting.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work effectively in a fast-paced, collaborative environment.
 </li>
 </ul>
 
 
 
 
 Successful candidates who meet the job description will be contacted.
 
</div>

DevOps Engineer

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