Abrar Admin

OmniOps

<div>
 OmniOps is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.
 
 
 
 Role Description
 
 
 
 We are looking for a highly experienced Senior Solution Engineer to join our Riyadh team. In this role, you will serve as a trusted technical advisor, partnering with customers to design innovative AI-driven solutions that address complex business challenges. You will work closely with Sales, Product, Engineering, and executive stakeholders to lead technical engagements, shape solution strategies, and position OmniOps as a strategic AI transformation partner.
 
 
 The ideal candidate combines strong technical expertise with excellent customer-facing, consulting, and presentation skills, and has hands-on experience designing enterprise AI, cloud, and data solutions.
 
 
 
 Key Responsibilities
 
 
 
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 Partner with Sales and Business teams to understand customer objectives, business challenges, and technical requirements throughout the sales lifecycle.
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 Lead technical discovery sessions, workshops, and architecture discussions to identify customer needs and define solution success criteria.
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 Design scalable, secure, and cloud-native AI solution architectures tailored to customer environments.
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 Translate business requirements into AI-driven solutions leveraging Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, MLOps, data platforms, and cloud technologies.
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 Deliver executive presentations, technical demonstrations, architecture reviews, and Proof of Concept (PoC) engagements.
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 Prepare and lead technical responses for RFPs, RFIs, proposals, solution architectures, and technical documentation.
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 Collaborate with Product Management, Data, and Engineering teams to ensure proposed solutions align with customer requirements and product capabilities.
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 Lead customer workshops focused on AI strategy, enterprise architecture, data governance, intelligent automation, and digital transformation.
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 Ensure a seamless transition from presales to delivery by validating solution architecture, implementation approach, technical scope, assumptions, and risks.
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 Stay up to date with emerging AI technologies, cloud platforms, and industry trends to continuously strengthen OmniOps' solution portfolio.
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 Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
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 Represent OmniOps during executive customer meetings, partner engagements, conferences, and technical events.
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 Contribute to presales methodologies, reusable solution assets, best practices, and technical playbooks.
 
 
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 Qualifications
 
 
 
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 Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
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 A Master's degree is considered an advantage.
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 5+ years of experience in Solution Engineering, Presales, Solutions Architecture, Cloud Consulting, or Enterprise Software.
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 Proven experience leading enterprise customer engagements from technical discovery through solution design and successful technical closure.
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 Experience working with enterprise customers across cloud, AI, or digital transformation initiatives.
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 Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, and enterprise AI architectures.
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 Hands-on experience developing or supporting Generative AI and Agentic AI applications.
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 Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), including cloud-native architectures and integration patterns.
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 Solid understanding of APIs, enterprise integration, networking, identity and access management, security, containers, and modern data platforms.
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 Experience designing enterprise-scale cloud and AI architectures.
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 Experience delivering Proofs of Concept (PoCs), technical workshops, demonstrations, and executive presentations.
 
 
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 </ul>
 
 Skills &amp; Competencies
 
 
 
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 Excellent solution architecture and technical consulting skills.
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 Strong customer engagement and stakeholder management capabilities.
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 Consultative selling mindset with the ability to align technology solutions to business outcomes.
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 Excellent communication, presentation, and documentation skills.
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 Strong analytical and problem-solving abilities.
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 Ability to manage multiple customer engagements in a fast-paced environment.
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 Leadership and mentoring experience with junior technical team members.
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 Collaborative mindset with the ability to work effectively across Sales, Product, Engineering, and Delivery teams.
 
 
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 Preferred Qualifications
 
 
 
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 AI, cloud, or enterprise architecture certifications (Microsoft Azure, AWS, Google Cloud, Kubernetes, or equivalent).
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 Experience working for AI, cloud, or enterprise software vendors, system integrators, or technology consulting firms.
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 Knowledge of enterprise AI governance, responsible AI practices, and modern data architectures.
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 Familiarity with digital transformation initiatives across enterprise and government sectors in the GCC.
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 </ul>
</div>

Senior Solution Engineer

<div>
 
 
 About OmniOps
 
 
 
 
 
 
 OmniOps helps organizations build, operate, and optimize modern cloud-native infrastructure, observability platforms, and AI-powered operations. We work with clients across multiple industries to deliver scalable, reliable, and secure solutions that enable operational excellence.
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 We are seeking an experienced Observability Engineer to design, deploy, and operate observability platforms for our clients. The ideal candidate will have hands-on experience with the Grafana ecosystem, telemetry collection, monitoring, logging, tracing, and alerting across cloud, on-premises, and hybrid environments.
 
 
 This role involves working directly with client teams to ensure their infrastructure and applications are fully observable, while maintaining clear ownership boundaries and providing expert guidance on monitoring best practices.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
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 Deploy, configure, upgrade, and manage Grafana Alloy agents across Kubernetes, Linux, and Windows environments.
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 Design and maintain observability backends using Grafana, Loki, Mimir, Tempo, and Alertmanager, either on-premises or through Grafana Cloud.
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 Configure telemetry pipelines for logs, metrics, and traces, ensuring reliable data collection and delivery.
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 Manage retention policies, storage capacity, and platform health across client environments.
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 Implement platform-level dashboards, alerting rules, notification channels, and monitoring standards.
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 Ensure observability platforms are self-monitoring and capable of detecting ingestion, agent, and backend health issues.
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 Support client teams with application instrumentation and observability best practices.
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 Define telemetry collection standards, SDK recommendations, and integration approaches.
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 Validate data ingestion and ensure logs, metrics, and traces are properly collected and visualized.
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 Assist clients in implementing alerting strategies and translating SLO requirements into actionable monitoring solutions.
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 Provide technical guidance while maintaining clear ownership boundaries between OmniOps and client teams.
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 Required Qualifications
 
 
 
 
 
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 Proven experience operating Grafana-based observability platforms in production environments.
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 Hands-on experience with Grafana Alloy, OpenTelemetry Collector, Promtail, Grafana Agent, or similar telemetry collection tools.
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 Strong experience deploying and managing monitoring agents across Kubernetes, Linux, and Windows environments.
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 Solid understanding of Kubernetes, including DaemonSets, RBAC, manifests, and Helm.
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 Experience with Grafana Cloud, including tenant management, stack configuration, and agent connectivity.
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 Strong understanding of observability concepts, including metrics, logs, traces, alerting, retention strategies, and capacity planning.
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 Experience with PromQL, LogQL, and telemetry data modeling best practices.
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 Strong communication and stakeholder management skills with a customer-focused mindset.
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 Nice to Have
 
 
 
 
 
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 Experience delivering observability services in managed services or multi-tenant environments.
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 Knowledge of Infrastructure as Code and GitOps tools such as Terraform, Helm, and Ansible.
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 Experience implementing OpenTelemetry instrumentation for applications and services.
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 Familiarity with AWS, Azure, and GCP logging integrations.
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 Experience collecting and monitoring Windows telemetry, including Windows Exporter and Event Log collection.
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 Experience building scalable monitoring and observability frameworks for enterprise environments.
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 What Success Looks Like
 
 
 
 
 
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 Reliable deployment and operation of observability platforms across multiple client environments.
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 High availability and health of telemetry pipelines and monitoring infrastructure.
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 Effective dashboards, alerting, and self-monitoring capabilities that improve operational visibility.
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 Successful onboarding of client applications and infrastructure into observability platforms.
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 Strong client satisfaction through technical excellence and proactive support.
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 </ul>
 
 
</div>

Observability Engineer

Join OmniOps and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

OmniOps

About Company

Senior Solution Engineer

Observability Engineer