senior reliability engineer

NextEra

<div>
 
 Dear All,
 
 
 
 
 
 
 NextEra is
 
 looking for
 
 dynamic
 
 resources in
 
 IT-Site Reliability Engineer
 
 role.
 
 
 
 
 
 
 Role Title:
 
 Site Reliability Engineer &ndash; L2 Support
 
 
 
 Function:
 
 Cloud &amp; Infrastructure Operations / Managed Services
 
 
 
 Role Level:
 
 L2 Technical Support
 
 
 
 Location:
 
 Riyadh
 
 
 
 
 
 The SRE L2 Support Engineer will be responsible for maintaining the reliability, availability, performance, and operational stability of business-critical applications and platform services hosted across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms. The role requires hands-on experience in incident management, monitoring, troubleshooting, service restoration, automation support, and operational governance using Grafana, Tempo, Loki, Prometheus, and related open-source ecosystem tools. The engineer will work closely with L1 support, L3/platform engineering teams, application teams, cloud teams, database teams, network teams, and customer stakeholders to ensure timely incident resolution, proactive problem management, and continuous improvement of service reliability.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide L2-level support for incidents, service requests, alerts, and operational issues across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms.
 </li>
 <li>
 Own incident triage, technical investigation, service restoration, escalation coordination, and closure documentation for priority incidents within agreed service levels.
 </li>
 <li>
 Perform deep-dive troubleshooting using metrics, logs, traces, dashboards, events, Kubernetes health data, cloud service telemetry, database alerts, Kafka lag indicators, Redis metrics, storage events, and network diagnostics.
 </li>
 <li>
 Monitor service availability, latency, error rates, saturation, capacity trends, pod health, node health, cluster resource utilization, Kafka consumer lag, Redis performance, database availability, object storage health, event bus failures, and network connectivity using Grafana, Prometheus, Loki, and Tempo.
 </li>
 <li>
 Support major incident management by providing technical analysis, impact assessment, workaround recommendations, timeline inputs, and post-incident review data for cloud, container, messaging, caching, storage, database, and network service issues.
 </li>
 <li>
 Coordinate with L1 teams for alert validation, ticket enrichment, runbook adherence, initial diagnostics, and handover of evidence before L2 engagement.
 </li>
 <li>
 Escalate complex issues to L3 engineering, platform engineering, Kubernetes administrators, cloud operations teams, database administrators, network teams, or product vendors with clear technical evidence and impact details.
 </li>
 <li>
 Execute approved operational tasks including service restarts, pod restarts, deployment validation, namespace checks, log review, configuration verification, certificate checks, storage access validation, Kafka topic and consumer checks, Redis health checks, database connectivity checks, network route validation, and scheduled health checks.
 </li>
 <li>
 Identify recurring incidents and contribute to problem management by performing root cause analysis, documenting known errors, creating corrective actions, and recommending permanent fixes.
 </li>
 <li>
 Create, update, and maintain SOPs, knowledge articles, troubleshooting guides, operational runbooks, alert response guides, and shift handover documentation for the defined technology stack.
 </li>
 <li>
 Support automation and standardization of repetitive operational tasks such as health checks, alert enrichment, log collection, Kubernetes diagnostics, cloud resource checks, Kafka status checks, Redis checks, storage validation, and database connectivity validation.
 </li>
 <li>
 Participate in change implementation support, pre-change validation, post-change monitoring, deployment verification, rollback support, and production readiness checks for GCP, OCI, Kubernetes, messaging, caching, storage, database, and observability changes.
 </li>
 <li>
 Ensure compliance with incident, problem, change, release, access, security, and operational governance processes within the defined SRE operating model.
 </li>
 <li>
 Prepare daily, weekly, and monthly operational reports covering incident trends, SLA performance, recurring issues, capacity observations, observability gaps, automation opportunities, and service improvement actions.
 </li>
 <li>
 Work in rotational shifts, on-call support, weekend support, or extended support windows based on business and client requirements.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Strong understanding of SRE principles including reliability, availability, scalability, observability, toil reduction, incident response, service-level objectives, and error-budget awareness.
 </li>
 <li>
 Hands-on experience in L2 production support, platform support, cloud operations, Kubernetes operations, or managed services support.
 </li>
 <li>
 Working knowledge of GCP and OCI services, including compute, storage, networking, identity, monitoring, logging, service health, and operational troubleshooting.
 </li>
 <li>
 Hands-on understanding of Kubernetes concepts including clusters, nodes, namespaces, pods, deployments, services, ingress, config maps, secrets, persistent volumes, resource limits, events, logs, and basic troubleshooting commands.
 </li>
 <li>
 Knowledge of network services including DNS, load balancers, firewalls, routing, connectivity checks, certificates, ports, latency, packet loss, and service reachability troubleshooting.
 </li>
 <li>
 Experience supporting Kafka, including topic validation, broker health checks, consumer group status, consumer lag analysis, producer and consumer connectivity, and event streaming issue triage.
 </li>
 <li>
 Experience supporting Redis, including cache availability checks, memory utilization, latency, connection issues, keyspace checks, replication status, and basic performance troubleshooting.
 </li>
 <li>
 Understanding of S3-compatible storage, including bucket access, object availability, permissions, lifecycle behavior, storage events, data transfer failures, and application integration issues.
 </li>
 <li>
 Working knowledge of event bus platforms and event-driven architectures, including event publishing, subscription failures, message routing, retry behaviour, dead-letter handling, and integration troubleshooting.
 </li>
 <li>
 Basic understanding of relational and NoSQL databases, including connectivity checks, query execution validation, job status validation, performance alerts, backup status, replication status, and database availability analysis.
 </li>
 <li>
 Hands-on experience with Grafana for dashboard review, alert visualization, service health monitoring, and operational reporting.
 </li>
 <li>
 Experience using Prometheus for metrics collection, alert rule validation, service target health, scrape status checks, and metric-based troubleshooting.
 </li>
 <li>
 Experience using Loki for log search, log correlation, application log analysis, infrastructure log review, and incident investigation.
 </li>
 <li>
 Experience using Tempo for distributed trace analysis, request flow review, latency investigation, dependency mapping, and transaction-level troubleshooting.
 </li>
 <li>
 Good working knowledge of the open-source ecosystem used in cloud-native operations, observability, automation, container platforms, logging, tracing, monitoring, and service reliability engineering.
 </li>
 <li>
 Ability to analyze logs, metrics, traces, alerts, dashboards, events, and performance indicators to isolate technical issues and support timely service restoration.
 </li>
 </ul>
 
 
 Experience and Qualifications
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in SRE, platform support, cloud operations, Kubernetes operations, application production support, or managed services support.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Experience supporting business-critical production environments with defined SLA, OLA, escalation, and operational governance processes.
 </li>
 <li>
 Exposure to 24x7 support models, shift operations, major incident calls, client-facing operations, and cross-functional technical coordination.
 </li>
 <li>
 Preferred certifications include Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud DevOps Engineer, OCI Foundations Associate, OCI Architect Associate, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Kubernetes and Cloud Native Associate, Prometheus/Grafana observability training, SRE Foundation, or ITIL Foundation.
 </li>
 </ul>
 
 
 Behavioral and Operational Competencies
 
 
 <ul>
 <li>
 Strong analytical thinking and structured troubleshooting approach across cloud, Kubernetes, network, database, messaging, caching, storage, and observability layers.
 </li>
 <li>
 Ability to work under pressure during high-severity incidents, production outages, cloud service degradation, Kubernetes failures, Kafka issues, Redis issues, database issues, storage access failures, and network connectivity problems.
 </li>
 <li>
 Ability to prioritize multiple incidents, alerts, requests, platform issues, and operational tasks in a time-sensitive environment.
 </li>
 <li>
 Good collaboration skills across L1, L2, L3, platform engineering, cloud, Kubernetes, network, database, application, and vendor teams.
 </li>
 <li>
 Willingness to learn and continuously improve skills across GCP, OCI, Kubernetes, Kafka, Redis, S3-compatible storage, event bus, databases, Grafana, Tempo, Loki, Prometheus, and the wider open-source ecosystem.
 </li>
 </ul>
 
 
 Key Deliverables and Success Measures
 
 
 <ul>
 <li>
 Timely resolution of L2 incidents within agreed SLA and OLA targets across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and observability platforms.
 </li>
 <li>
 Improved service availability, reduced recurring incidents, and faster mean time to restore service across the defined SRE support landscape.
 </li>
 <li>
 High-quality incident documentation, RCA inputs, runbooks, SOPs, alert response guides, and knowledge articles for the supported technology stack.
 </li>
 </ul>
 
 
 
</div>

Site Reliability Engineer

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>

Wipro

<div>
 
 
 Role Summary
 
 
 
 Ensure high availability, performance, and reliability of production systems through automation, cloud operations, monitoring, and incident management.
 
 
 
 Key Responsibilities
 
 
 
 - Build and manage scalable AWS cloud infrastructure using Terraform / CloudFormation
 
 
 - Implement monitoring and observability using Prometheus, Grafana, Splunk, or Datadog
 
 
 - Handle incidents, RCA, on-call support, SLOs, SLIs, and error budgets
 
 
 - Automate operations to improve efficiency, reliability, and MTTR
 
 
 - Manage Kubernetes, Docker, CI/CD pipelines, runbooks, and ITIL processes
 
 
 
 Mandatory Skills
 
 
 
 - SRE / DevOps / Production Support with AWS cloud experience
 
 
 - Kubernetes, Docker, Linux, and networking fundamentals
 
 
 - Scripting using Python, Bash, or Go
 
 
 - Monitoring tools and incident / RCA management
 
 
 
 Preferred Skills
 
 
 
 - Terraform / CloudFormation, Jenkins / GitLab CI/CD, ServiceNow / ITSM
 
 
 - Cloud security tools and enterprise environment experience
 
 
 Experience
 
 
 5+ years in SRE / DevOps / Cloud / Production Support
 
</div>

Site Reliability Engineer (SRE)

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

JAWRAA

<div>
 
 Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 
 
 
 
 
 
 About the job :
 
 
 
 We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Infrastructure Architecture &amp; Design
 
 
 
 &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 
 
 &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 
 
 &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 
 
 
 
 
 
 DevOps &amp; Automation
 
 
 
 &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 
 
 &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 
 
 &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 
 
 
 
 
 
 Security &amp; Compliance
 
 
 
 &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 
 
 &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 
 
 &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 
 
 
 
 
 
 Reliability &amp; Performance
 
 
 
 &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 
 
 &bull; Lead incident response, root cause analysis, and blameless post-mortems
 
 
 &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 
 
 
 
 
 
 Collaboration &amp; Leadership
 
 
 
 &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 
 
 &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 
 
 &bull; Document architecture decisions, runbooks, and operational procedures
 
 
 
 
 
 
 Google Cloud Networking
 
 
 
 &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 
 
 &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 
 
 &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 
 
 &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 
 
 &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 
 
 &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 
 
 &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 
 
 &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 
 
 
 
 
 
 Requirements :
 
 
 
 &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 
 
 &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 
 
 &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 
 
 &bull; Proficiency in Infrastructure as Code using Terraform
 
 
 &bull; Strong programming/scripting skills in Python, Go, or Bash
 
 
 &bull; Experience with Kubernetes and containerized workloads
 
 
 &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 
 
 &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 
 
 &bull; Experience implementing security controls and compliance in cloud environments
 
 
 &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 
 
 &bull; Experience with multi-cloud or hybrid cloud architectures
 
 
 &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 
 
 &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 
 
 &bull; Background in SRE principles and practices
 
 
 
 
 
 
 
 
 
 Required Specialized Certifications :
 
 
 
 Google Professional Cloud Architect
 
 
 Google Professional DevOps Engineer
 
 
 Google Professional Cloud Security Engineer
 
 
 Google Associate Cloud Engineer
 
</div>

Senior Cloud Engineer {GCP}

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Senior AI Engineer (Arabic Speaker)</h1>
Location: Riyadh, Saudi Arabia 
Experience: 6&ndash;8 Years 
Employment Type: Full-Time / Contract 
Language Requirement: Native or Fluent Arabic Speaker (Mandatory)<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI &amp; Machine Learning Development</h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader">
Generative AI Engineering</h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; AI Operations</h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader">
Cloud &amp; Platform Engineering</h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Integration</h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader">
Stakeholder Management</h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Artificial Intelligence &amp; Machine Learning</h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader">
Generative AI</h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader">
MLOps</h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader">
Cloud Platforms</h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader">
Containers &amp; DevOps</h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader">
Programming Languages</h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader">
Experience Requirements</h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader">
Preferred Certifications</h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader">
Mandatory Requirements</h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul>
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Senior AI Engineer (Arabic Speaker)

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