Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Company Overview
Suadeo is a French software company specializing in Self BI (Business Intelligence) Platforms that empower users with data autonomy, governance, and advanced analytics capabilities. Headquartered in Ivry-sur-Seine, France, Suadeo serves clients across diverse industries in both the public and private sectors.
Our Dubai office is expanding, and we are seeking a DevOps Engineer to help build and optimize the infrastructure supporting our AI-driven data platform — integrating Generative AI, NLP, and data visualization technologies to deliver cutting-edge analytics solutions.
Role Description
As a DevOps Engineer at Suadeo, you will play a key role in designing, automating, and maintaining our cloud and on-premise environments to support continuous integration, delivery, and scalability of AI and data services. You will collaborate with our Data Science, Development, and Product teams to ensure efficient, secure, and high-performing deployments of Suadeo’s Self BI Platform.
Key Responsibilities
Infrastructure & Automation
- Design, implement, and maintain scalable cloud infrastructure (AWS / Azure / GCP) for Suadeo’s AI and BI platform.
- Automate deployment and configuration using Infrastructure-as-Code (IaC) tools such as Terraform or Ansible.
- Build, manage, and optimize CI/CD pipelines for software and AI model deployments.
Containerization & Orchestration
- Deploy and manage containerized applications using Docker and Kubernetes.
- Ensure efficient orchestration, scaling, and monitoring of microservices and AI model services.
Monitoring & Reliability
- Implement system monitoring, alerting, and logging using tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Monitor and improve platform reliability, availability, and performance.
- Troubleshoot and resolve issues related to system performance, deployment, and infrastructure stability.
Security & Compliance
- Enforce best practices for infrastructure and application security, including access control, encryption, and network security.
- Support compliance requirements for data protection and system integrity.
Collaboration & Support
- Work closely with software developers, data scientists, and product managers to streamline releases and improve deployment efficiency.
- Provide DevOps guidance, troubleshoot production incidents, and continuously improve automation workflows.
- Participate in Agile SAFe processes to align infrastructure work with product development cycles.
Required Qualifications & Skills
Education:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
Technical Skills:
- Proven experience (3–6 years) in DevOps, Cloud Infrastructure, or System Engineering roles.
- Hands-on experience with cloud platforms: AWS, Azure, or GCP.
- Strong knowledge of containerization (Docker) and orchestration (Kubernetes).
- Experience with CI/CD pipelines (Jenkins, GitLab CI/CD, or GitHub Actions).
- Proficiency in scripting languages (Python, Bash, or Shell).
- Familiarity with IaC tools (Terraform, Ansible, or CloudFormation).
- Knowledge of monitoring tools (Grafana, Prometheus, ELK, CloudWatch).
- Experience managing version control using Git and working in Agile environments.
Preferred:
- Exposure to MLOps or AI/ML deployment pipelines (e.g., integrating AI models into production).
- Familiarity with LLMs, NLP APIs, or data-driven AI services.
- Certifications such as AWS Certified DevOps Engineer or Docker Certified Associate are a plus.
What We Offer
- Opportunity to work on AI-driven data platforms and cutting-edge cloud technologies
- Dynamic, international, and collaborative work culture
- Exposure to Generative AI, Data Science, and BI environments
- Competitive compensation and benefits
- Continuous learning and professional growth opportunities
NOTE: CANDIDATE MUST BE INSIDE UAE ONLY.
Key Skills
Ranked by relevanceReady to apply?
Join Suadeo and take your career to the next level!
Application takes less than 5 minutes

