site reliability engineer

Prime Gate

<p></p><div><p><b>About the Role:</b></p><p>
We are looking for a Site Reliability Engineer (SRE) with solid experience running production systems and working closely with development teams. The ideal candidate is comfortable with Linux, containers, Kubernetes, and CI/CD pipelines, and has a strong focus on reliability, monitoring, and incident handling. You will help keep our services stable, observable, and scalable while collaborating with engineers across the stack.</p><p><b>
Responsibilities:</b></p><ul><li>Operate and maintain production systems with a focus on reliability, availability, and performance.</li><li>Work with Docker and Kubernetes to deploy, update, and troubleshoot services.</li><li>Configure and optimize Kubernetes resources (pods, deployments, services, ingress, config maps, secrets, etc.).</li><li>Implement and maintain monitoring, logging, and alerting for applications and infrastructure.</li><li>Build and improve CI/CD pipelines in collaboration with development and DevOps teams.</li><li>Create and maintain dashboards for key service metrics (latency, error rate, throughput, resource usage).</li><li>Participate in incident response: investigate issues, identify root cause, and propose fixes and improvements.</li><li>Work closely with backend developers to improve service reliability, resilience, and observability.</li><li>Contribute to capacity planning and performance tuning of services and infrastructure.</li><li>Automate repetitive operational tasks using scripts or small tools.</li><li>Document runbooks, procedures, and best practices for operating services in production.</li></ul><p><b>
Must-Have Qualifications:</b></p><ul><li>3&ndash;5 years of professional experience in an SRE, DevOps, or infrastructure-focused engineering role.</li><li>Strong understanding of Linux systems (shell, processes, networking, permissions, logs).</li><li>Hands-on experience with Docker and Kubernetes in real environments.</li><li>Practical experience with:
</li></ul><p>o Kubernetes deployments, services, ingress, config maps, and secrets o Basic troubleshooting inside a cluster (pods failing, crashes, restarts, resource issues)</p><ul><li>Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK/EFK, Application Insights, or similar).</li><li>Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or similar).</li><li>Ability to read and modify pipeline definitions and understand build test deploy flows.</li><li>Basic programming/scripting skills in at least one language (e.g., Python, Bash, PowerShell, Go, etc.).</li><li>Understanding of core reliability concepts such as SLIs, SLOs, uptime, latency, and availability.</li><li>Experience troubleshooting production issues using logs, metrics, and dashboards.</li><li>Good communication skills and ability to collaborate with developers, QA, and product teams.</li></ul><p><b>
Nice-to-Have:</b></p><ul><li>Experience with at least one major cloud platform (Azure, AWS, Alibaba Cloud, or GCP).</li><li>Experience with infrastructure as code (Terraform, Bicep, Pulumi, Helm, etc.).</li><li>Experience with ingress controllers, API gateways, or service mesh.</li><li>Familiarity with security best practices (secrets management, TLS/certificates, RBAC on Kubernetes or cloud).</li><li>Experience participating in on-call rotations and using incident management tools (PagerDuty, Opsgenie, etc.).</li><li>Experience contributing to post-incident reviews and implementing follow-up improvements.</li></ul><p></p><p><b>
Experience:</b></p><p>
3&ndash;5 years</p></div><p></p>

Site Reliability Engineer (SRE)

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Test Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>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.
</div><p></p><p><b>About the Role
</b></p><p>We are looking for a Site Reliability Engineer or Senior Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia.
</p><p></p><p>The role focuses on the design, operation, and continuous improvement of large‑scale AI inference systems in a datacenter environment. The engineer will support critical AI use cases by ensuring Qualcomm&rsquo;s AI infrastructure is reliable, scalable, and production‑ready for advanced machine‑learning workloads.
</p><p>The role requires strong systems and software engineering fundamentals, hands‑on execution, and the ability to work independently on complex problem areas while collaborating closely with cross‑functional teams across hardware, software, and machine learning.
</p><p></p><p><b>Ideal candidates will have 2-8 years of experience
</b></p><p></p><p><b>Key Responsibilities will include
</b></p><p></p><p><b>Key Responsibilities
</b></p><p><b>1. AI Infrastructure
</b></p><ul><li>Design, deploy, and operate large‑scale AI inference systems supporting critical AI workloads.
</li><li>Ensure reliability, availability, and scalability of Qualcomm datacenter AI clusters.
</li><li>Develop and maintain software tools and support infrastructure around AI software stacks.
</li></ul><p></p><p><b>2. AI &amp; ML Engineering
</b></p><ul><li>Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads.
</li><li>Build, deploy, and operate components supporting LLM inference, agentic AI workflows, and AI services.
</li><li>Work with models, systems, and software teams to improve model performance on AI100 deployments.
</li><li>Identify and implement optimizations for workloads running on multi‑SoC and multi‑card systems.
</li></ul><p></p><p><b>3. Site Reliability Engineering (SRE)
</b></p><ul><li>Apply SRE fundamentals including monitoring, alerting, incident response, and performance optimization.
</li><li>Support production ML systems using MLOps tools and operational best practices.
</li><li>Contribute to incident reviews, operational documentation, and continuous reliability improvements.
</li></ul><p></p><p><b>4. Observability &amp; Tooling
</b></p><ul><li>Build and maintain observability tools, dashboards, and alerts to monitor system health and reliability.
</li><li>Monitor infrastructure and services using tools such as Prometheus, Grafana, CloudWatch, and custom telemetry.
</li><li>Create and maintain technical documentation, runbooks, and knowledge‑base articles.
</li></ul><p></p><p><b>5. Automation &amp; CI/CD
</b></p><ul><li>Develop automation to reduce manual operational tasks and improve system reliability.
</li><li>Support CI/CD pipelines for AI service and agent deployment.
</li><li>Apply Infrastructure‑as‑Code practices using tools such as Terraform and Ansible.
</li></ul><div></div><p><b>Required Skillset
</b></p><p><b>1. AI &amp; Deep Learning
</b></p><ul><li>Experience working with AI/ML workloads such as LLMs, NLP, Vision, Audio, or Recommendation systems.
</li><li>Understand ML inference concepts including batching, token streaming, and performance considerations.
</li><li>Hands‑on experience with PyTorch and familiarity with modern ML frameworks.
</li><li>Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments.
</li></ul><p></p><p><b>2. AI Operations
</b></p><ul><li>Experience supporting AI or ML applications in production environments.
</li><li>Familiarity with LLM inference pipelines and AI service operations.
</li></ul><p></p><p><b>3. Programming &amp; Software Design
</b></p><ul><li>Strong programming skills in Python with experience building and supporting production systems.
</li><li>Experience with scripting and automation using Python and Bash.
</li><li>Familiarity with configuration management and orchestration tools.
</li></ul><p></p><p><b>4. Systems &amp; Infrastructure
</b></p><ul><li>Strong Linux fundamentals include shell, containers, system services, and networking basics (DNS, TLS, HTTP/gRPC).
</li><li>Experience working with cluster schedulers such as Slurm or equivalent systems.
</li><li>Experience operating distributed systems with high availability and fault tolerance.
</li></ul><p></p><p><b>5. Observability &amp; Monitoring
</b></p><ul><li>Hands‑on experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Loki.
</li><li>Understanding of incident management, service health metrics, and system reliability monitoring.
</li></ul><p></p><p><b>6. DevOps &amp; SRE Practices
</b></p><ul><li>Solid understanding of SDLC, release processes, and operational reliability practices.
</li><li>Familiarity with CI/CD pipelines and Infrastructure‑as‑Code tools.
</li></ul><div></div><p><b>Preferred Skillset
</b></p><ul><li>Experience with GenAI, Agentic AI systems, or LLM orchestration frameworks.
</li><li>Exposure to LangChain, AutoGen, or RAG‑based systems.
</li><li>Experience with additional ML frameworks such as TensorFlow, JAX, or Ray.
</li><li>Knowledge of GPU/accelerator‑based systems and high‑performance networking (RDMA, InfiniBand, RoCE).
</li><li>Experience with advanced MLOps workflows or large‑scale AI platform operations.
</li></ul><div></div><p><b>Qualifications
</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, AI/ML, or a related field.
</li><li>2&ndash;8 years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><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><p></p><p><b>Minimum Qualifications:
</b></p><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
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

Four Principles

<div><p><b>Description</b></p><p>
As a DevOps Engineer, you will play a crucial role in bridging software development, quality assurance, and IT operations. You will be responsible for developing, maintaining, and optimizing our CI/CD pipelines, ensuring the scalability and security of our infrastructure, and deploying Docker and Kubernetes solutions. Your role involves leveraging your expertise in DevOps best practices along with a solid understanding of web development, cyber security, and digital systems to enhance the performance and reliability of our digital platforms.</p><p><b>
Key Responsibilities
</b></p><ul><li><p>Design, implement, and maintain Continuous Integration and Continuous Deployment pipelines to automate the software delivery process.</p></li><li><p>
Implement and manage containerization with tools like Docker and orchestrate containers using Kubernetes to ensure scalable and efficient deployment.</p></li><li><p>
Collaborate with development teams to automate repetitive tasks to improve efficiency and reduce the risk of human error.</p></li><li><p>
Implement monitoring solutions for tracking application and infrastructure performance. Use tools like Prometheus, Grafana, or New Relic to monitor, analyze and report system performance data.</p></li><li><p>
Work closely with development, operations, and other teams to ensure high-quality software development and deployment.</p></li><li><p>
Diagnose and resolve technical issues in development, test, and production environments.</p></li><li><p>
Monitor and improve system performance, stability, and security.</p></li><li><p>
Conduct log analysis, error analysis, and resolution to enhance system functionality and reliability.</p></li><li><p>
Stay up-to-date with emerging trends and technologies in DevOps, software development, and IT operations.</p></li><li><p>
Document DevOps processes, systems, and configurations for effective knowledge sharing and collaboration.</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
Bachelor's degree in Computer Science, Software Engineering, or a related field.</p></li><li><p>
At least 4 years of experience in DevOps, system administration, or related roles.</p></li><li><p>
Proficiency in managing Docker containers and orchestrating them with Kubernetes.</p></li><li><p>
Experience in building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, CircleCI, or similar.</p></li><li><p>
Wide knowledge in digital systems infrastructure, performance monitoring, and troubleshooting.</p></li><li><p>
Excellent problem-solving skills and ability to work effectively in a team environment.</p></li></ul></div>

DevOps Engineer

Lucidya | لوسيديا

<div>
 Lucidya is a leading AI-powered Customer Experience Management (CXM) platform in the MENA region, enabling enterprises to understand, engage, and serve customers across digital channels at scale.
 <br/>
 <br/>
 As we move toward IPO-scale, we are rebuilding parts of our platform to achieve:
 <br/>
 <br/>
 <ul>
  <li>
   Extreme reliability (SLO-driven engineering)
  </li>
  <li>
   High-scale distributed processing (billions of data points)
  </li>
  <li>
   AI-native architecture (LLM + real-time intelligence)
   <br/>
   <br/>
  </li>
 </ul>
 We don't optimize for titles, we optimize for impact! Whether you are junior or senior doesn't matter and what matters is your ability to move faster and think deeper than the average engineer. We operate with extreme ownership. Problems don't belong to teams or tickets where they belong to whoever sees them. The right person for this role doesn't walk past a broken system. If something is failing, you fix it even if it's not "your job."
 <br/>
 <br/>
 <strong>
  What You Will Work On
  <br/>
  <br/>
 </strong>
 <strong>
  Microservices &amp; Distributed Architecture
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and operate high-throughput, event-driven pipelines across a 100+ microservice ecosystem handling billions of data points
  </li>
  <li>
   Build and scale distributed messaging systems with RabbitMQ, backpressure management, consumer scaling, and queue health
  </li>
  <li>
   Develop and maintain API gateway layers with advanced routing (multi-upstream, traffic splitting, environment isolation)
  </li>
  <li>
   Architect SSO and identity federation for enterprise clients, supporting multi-IdP routing with zero coupling to core services
  </li>
  <li>
   Define clean service boundaries across ingestion, processing, and delivery pipelines spanning Ruby and Python
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Performance &amp; Systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Diagnose and resolve complex production issues (e.g., deadlocks, queue exhaustion, connection pool saturation) &mdash; and eliminate root causes
  </li>
  <li>
   Optimize PostgreSQL for heavy write workloads, contention management, schema design, triggers, and connection scaling
  </li>
  <li>
   Design and tune Elasticsearch for search, indexing, and real-time Arabic relevance at scale
  </li>
  <li>
   Make informed trade-offs between multi-process and async architectures based on workload characteristics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Observability &amp; Reliability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain observability across a large-scale system using Grafana, Loki, distributed tracing, and SLOs
  </li>
  <li>
   Own production incidents end-to-end, tracing failures across queues, search systems, and external integrations
  </li>
  <li>
   Lead root cause analysis and implement preventative measures across multi-service pipelines
  </li>
  <li>
   Build internal tooling that improves engineering velocity, automation, deployment gating, and review enforcement
  </li>
  <li>
   Turn architectural principles into enforceable standards and guardrails, not just documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Platform Evolution
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive platform decoupling and service isolation across the system
  </li>
  <li>
   Contribute to Kubernetes migration and infrastructure modernization
  </li>
  <li>
   Standardize and improve CI/CD pipelines across services
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stack
  <br/>
  <br/>
 </strong>
 Ruby on Rails
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   Elasticsearch
  </li>
  <li>
   Redis
  </li>
  <li>
   RabbitMQ
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   AWS / GCP
  </li>
  <li>
   APISIX
  </li>
  <li>
   Grafana + Loki
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong foundation in distributed systems. You understand failure modes before you write the first line
  </li>
  <li>
   Hands-on experience with event-driven architecture and message queues in production
  </li>
  <li>
   Deep comfort with concurrency, backpressure, and fault tolerance
  </li>
  <li>
   Track record debugging complex production issues &mdash; not just fixing them, preventing them
  </li>
  <li>
   Experience with Rails or Python backends at meaningful scale
  </li>
  <li>
   You improve systems you weren't asked to touch
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Role is a Strong Fit If You...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Read and understand an existing codebase by week one
  </li>
  <li>
   See a broken system and fix it before anyone asks you to
  </li>
  <li>
   Have strong opinions about architecture and can back them up with data
  </li>
  <li>
   Think in systems: latency, throughput, failure modes, and cost at scale
  </li>
  <li>
   Treat documentation, tests, and observability as non-negotiable defaults and not afterthoughts
  </li>
  <li>
   Ship fast and without breaking things. Speed and quality are not a trade-off for you
  </li>
  <li>
   Consistently exceed expectations where meeting the bar is a floor, not a target
  </li>
  <li>
   Are hungry for hard challenges and actively seek problems at the edge of your limits
  </li>
  <li>
   Feel a sense of urgency that doesn't require external pressure
  </li>
  <li>
   Have rebuilt or stabilised something significant and can talk about it concretely
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Lucidya
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Real scale with billions of events and not just toy systems
  </li>
  <li>
   Direct impact at CTO and executive level
  </li>
  <li>
   Pre-IPO with clear trajectory and your work has real impact on clients
  </li>
 </ul>
</div>


10x Software Engineer

ARMADA

<p></p><div><div><p><b>About the Company</b></p>
<div>
Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world's most remote places. Named one of Fast Company's Most Innovative Companies, Armada's solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.</div>
<div></div>
<div>With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.</div>
<div></div>
<div>Working at Armada means taking ownership, driving autonomy, and delivering impact. You'll tackle challenges that haven't been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada's mission to bridge the digital divide for customers around the world.</div></div><p></p><h3 class="jobSectionHeader"><b><br>
About Armada</b></h3>
<p>
Armada delivers sovereign, industrial-grade AI infrastructure designed to operate where traditional cloud and centralized data center models fall short. Our platform includes Atlas as the control plane, Galleon modular edge data centers powered by the Armada Edge Platform, and Leviathan, Armada's AI Factory, which partners with Bridge, our GPU-as-a-Service offering. Together, these capabilities enable enterprises and governments to deploy, operate, and scale AI workloads securely, efficiently, and close to where data is generated.</p>
<p>
Saudi Arabia is Armada's operational anchor for the ME region. As we scale, we are intentionally building a team of senior, versatile operators who can both get systems live and own customers long-term. This role is designed for engineers who want full lifecycle ownership, not narrow scope.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Role Overview</b></h3>
<p>
The Senior Forward Deploy Engineer is a hybrid role responsible for hands-on deployment execution and ongoing technical account ownership for Armada customers across ME. This role combines the intensity and depth of a Forward Deploy Engineer with the long-term customer ownership of a Technical Account Manager.</p>
<p>
In the early phases of customer engagement, this role leads deployments, platform bring-up, and initial workload execution. Once customers are live, the same engineer remains the primary technical owner, driving adoption, operational maturity, and expansion.</p>
<p>
This role reports into the Sr. Director of Customer Success &amp; Delivery, EMEA &amp; ANZ and is intentionally designed to avoid split ownership between deployment and post-sale success. Success is measured by speed to production, customer confidence, platform adoption, retention, and expansion.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<p><b>
Deployment execution and platform bring-up</b></p>
<ul>
<li>Lead end-to-end deployment of Armada platforms including Atlas, Galleon with AEP, and Leviathan AI Factory integrated with Bridge GPU-as-a-Service</li>
<li>Own on-site and in-country deployments across Saudi Arabia and the broader ME region</li>
<li>Own infrastructure bring-up, platform configuration, and production readiness validation</li>
<li>Make real-time technical decisions across hardware, networking, Kubernetes, storage, and GPU layers</li>
</ul>
<p><b>Technical account ownership and customer success</b></p>
<ul>
<li>Serve as the primary technical point of contact for assigned customers post go-live</li>
<li>Own the technical success plan, adoption milestones, and operational maturity roadmap</li>
<li>Build trusted, long-term relationships with customer engineering, IT, OT, and security team</li>
<li>Lead technical governance discussions, roadmap planning, and platform optimization conversations</li>
</ul>
<p><b>Joint Success Plan ownership</b></p>
<ul>
<li>Build, maintain, and actively drive Joint Success Plans (JSPs) for each assigned customer</li>
<li>Align deployment milestones, platform adoption, and operational maturity to customer business objectives</li>
<li>Use the Joint Success Plan as the primary framework for prioritization, execution, risk management, and value tracking</li>
<li>Regularly review progress against success plans with customer stakeholders and Armada leadership</li>
<li>Ensure JSPs inform deployment sequencing, adoption strategy, roadmap discussions, and expansion planning</li>
<li>Surface risks, dependencies, and blockers early and drive resolution with clear ownership</li>
</ul>
<p><b>Time-to-value acceleration and adoption</b></p>
<ul>
<li>Reduce time-to-try and time-to-value by unblocking workloads and accelerating early production use cases</li>
<li>Drive adoption across new workloads, business units, and countries</li>
<li>Identify expansion opportunities including additional Galleon deployments and Leviathan AI Factory capacity through Bridge GPUaaS</li>
</ul>
<p><b>Operational excellence and reliability</b></p>
<ul>
<li>Ensure customer environments remain stable, secure, and production-ready</li>
<li>Proactively identify scaling risks, architectural gaps, and technical debt</li>
<li>Coordinate with Product, Engineering, and Support teams to resolve issues efficiently</li>
</ul>
<p><b>Sovereign data, security, and compliance execution</b></p>
<ul>
<li>Operate confidently within Saudi and regional sovereign data and security requirements</li>
<li>Support security validation, audits, and governance processes as required by customers</li>
<li>Maintain disciplined access control, documentation, and operational hygiene</li>
</ul>
<p><b>Field leadership and mentorship</b></p>
<ul>
<li>Act as a senior technical presence for ND8 customers, setting the bar for execution and professionalism</li>
<li>Mentor junior FDEs, TAMs, and delivery engineers as the region scales</li>
<li>Contribute to deployment standards, runbooks, and repeatable best practices</li>
</ul>
<p><b>Cross-functional collaboration</b></p>
<ul>
<li>Partner closely with the Sr. Director of Customer Success &amp; Delivery, EMEA &amp; ANZ on customer priorities and escalations</li>
<li>Work with Sales on expansion planning while maintaining a trusted post-sale posture</li>
<li>Provide structured feedback to Product and Engineering based on real customer usage</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Qualifications and Experience</b></h3>
<ul><li>8+ years of experience in infrastructure, platform engineering, SRE, forward-deployed engineering, or technical account roles</li>
<li>Proven ability to own both hands-on delivery and long-term customer technical relationships</li>
<li>Deep technical expertise across Linux, networking, Kubernetes, storage, and GPU-accelerated compute</li>
<li>Strong troubleshooting skills in live, production environments</li>
<li>Experience working directly with customers in regulated, high-stakes settings</li>
<li>Willingness to travel across Saudi Arabia and the broader ME region</li>
<li>Clear, confident communication style suitable for executive and engineering audiences</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Preferred Experience</b></h3>
<ul><li>Experience with edge compute, modular data centers, or distributed infrastructure</li>
<li>Familiarity with AI workloads, GPU clusters, and high-performance computing environments</li>
<li>Exposure to sovereign or national-scale customer environments</li>
<li>Experience operating in Saudi Arabia, UAE or across ME</li>
<li>Comfort operating with ambiguity and owning outcomes end to end</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
What Success Looks Like</b></h3>
<ul><li>Customer environments reach production quickly and operate reliably</li>
<li>The same engineer who deploys the platform remains the trusted technical owner</li>
<li>Adoption expands across sites, workloads, and teams without handoff friction</li>
<li>Customers view Armada as a strategic AI infrastructure partner due to consistent technical ownership</li></ul><p></p><div><br>
<p><b>
You're a Great Fit if You're</b></p>
<ul>
<li>A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge</li>
<li>A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a &quot;get-it-done&quot; attitude</li>
<li>Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company</li>
<li>A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda</li>
<li>Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you</li></ul><br>
<p></p>
<p><b>
Equal Opportunity Statement</b></p>
<p>
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.</p><br>
<p></p>
<p><b>
Unsolicited Resumes and Candidates</b></p>
<p>
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.</p></div></div><p></p>

Senior Forward Deploy Engineer

<div><p><b>Job Overview:</b></p><p>
The DevOps Engineer is responsible for designing, automating, and maintaining cloud infrastructure and CI/CD pipelines for enterprise applications. The ideal candidate should have strong experience in cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD automation, and Infrastructure as Code (IaC). The DevOps Engineer will collaborate with development, QA, and security teams to ensure seamless deployment, monitoring, and scaling of applications.</p><p><b>
Key Responsibilities:</b></p><ul><li>Design, implement, and maintain CI/CD pipelines to automate builds, testing, and deployments.</li><li>Manage and optimize cloud infrastructure using AWS, Azure, or Google Cloud.</li><li>Deploy and maintain containerized applications using Docker and Kubernetes.</li><li>Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation.</li><li>Monitor system performance, logs, and security using tools like Prometheus, Grafana, ELK Stack, and CloudWatch.</li><li>Implement security best practices for cloud and containerized environments, including IAM, secrets management, and compliance checks.</li><li>Collaborate with development teams to enhance application performance and scalability.</li><li>Troubleshoot and resolve production incidents using observability tools and root cause analysis techniques.</li><li>Optimize cost and resource utilization in cloud environments.</li><li>Implement backup, disaster recovery, and high-availability strategies for critical services.</li><li>Maintain and enhance automation scripts for deployment and infrastructure management.</li></ul><p><b>
Required Skills and Qualifications:</b></p><ul><li>4+ years of experience in DevOps, cloud infrastructure, and CI/CD automation.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP).</li><li>Proficiency in containerization using Docker and Kubernetes.</li><li>Experience with Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation.</li><li>Strong knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, or CircleCI</li><li>Experience with scripting languages (Bash, Python, or Go) for automation.</li><li>Proficiency in observability and logging tools (Prometheus, Grafana, ELK Stack, CloudWatch, Loki).</li><li>Strong understanding of networking concepts, including DNS, load balancing, and firewalls.</li><li>Knowledge of security best practices, including IAM, SSL/TLS, and vulnerability scanning.</li><li>Experience with database administration and backup strategies (PostgreSQL, MySQL, MongoDB).</li><li>Experience working with message brokers (Kafka, RabbitMQ, NATS) is a plus.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>Experience with Kubernetes operators and service mesh solutions (Istio, Linkerd).</li><li>Familiarity with serverless architectures and FaaS (AWS Lambda, Google Cloud Functions).</li><li>Experience with configuration management tools (Chef, Puppet, SaltStack).</li><li>Understanding of policy-as-code for compliance automation (OPA, Kyverno).</li><li>Familiarity with incident management and SRE principles.</li></ul><p></p><p><b>
Experience Level:
</b></p><p>Mid to Senior (4+ Years)</p><p></p><p><b>
Employment Type:</b></p><p>
Full-time</p></div><p></p>

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a proactive and skilled <b>DevOps Engineer</b> with <b>3+ years of experience</b> in supporting software development and deployment pipelines, infrastructure automation, and cloud environments. The ideal candidate should have hands-on experience in <b>CI/CD, cloud platforms, scripting, and system monitoring</b>, ensuring reliable and scalable deployment processes.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Design, implement, and maintain <b>CI/CD pipelines</b> for automated build, testing, and deployment.<br>
</li><li>
Manage and monitor <b>cloud infrastructure, servers, and deployment environments</b>.<br>
</li><li>
Automate infrastructure provisioning and configuration management processes.<br>
</li><li>
Support application deployment, release management, and environment setup activities.<br>
</li><li>
Monitor system performance, uptime, and incident resolution to ensure high availability.<br>
</li><li>
Collaborate with development and QA teams to streamline release cycles.<br>
</li><li>
Implement <b>security, backup, and disaster recovery best practices</b>.<br>
</li><li>
Troubleshoot deployment, infrastructure, and application performance issues.<br>
</li><li>
Maintain documentation for deployment processes and system architecture.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>DevOps / Infrastructure / Cloud Engineering</b><br>
</li><li>
Strong experience with <b>CI/CD tools</b> such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps<br>
</li><li>
Hands-on experience with <b>cloud platforms (AWS / Azure / GCP)</b><br>
</li><li>
Good knowledge of <b>Linux/Unix administration</b><br>
</li><li>
Experience in <b>Docker, Kubernetes, and container orchestration</b><br>
</li><li>
Proficiency in <b>scripting languages</b> such as Shell, Python, or Bash<br>
</li><li>
Knowledge of <b>Infrastructure as Code (Terraform, Ansible, CloudFormation)</b><br>
</li><li>
Strong troubleshooting and problem-solving skills</li></ul></div></div></div><p></p>

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