Senior DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior DevOps Engineer (DevOps/AI): Deploying and operating scalable systems for a big data analytics platform with an accent on CI/CD automation, GPU workload optimization, and container orchestration. Focus on building robust monitoring systems, managing high-availability services, and streamlining model deployment for GenAI solutions.
Location: Abu Dhabi, United Arab Emirates
Company
is a leading big data analytics company powered by GenAI, specializing in all-source data interpretation to support insight-driven decision-making for the private and public sectors.
What you will do
- Maintain and scale a robust CI/CD framework to streamline software deployment and operations.
- Build and manage health and performance monitoring systems to ensure always-available services.
- Deploy, operate, and troubleshoot Java applications and GPU workloads, including model deployment and inference serving.
- Mentor and grow a team of engineers, fostering a culture of individual ownership and impact.
- Collaborate with software engineering and QA teams to resolve issues and deploy fixes in a timely manner.
- Develop and maintain deployment-specific support documentation.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.
- 5+ years of experience in DevOps.
- Proven expertise in developing CI/CD pipelines and Linux/Unix administration.
- Hands-on experience with Docker and orchestration tools such as Kubernetes or Docker Swarm.
- Proficiency in scripting, Git workflows, and SQL/MySQL.
- Experience with at least one major cloud platform (AWS, Azure, or GCP).
Nice to have
- Experience with RedHat OpenShift stack.
- Working knowledge of OAuth 2.0, OpenID Connect, SAML 2.0, Kerberos, or LDAP.
- A highly detail-oriented and methodical approach to problem solving.
- Excellent verbal and written communication skills.
Culture & Benefits
- Work in a multicultural and diverse environment across various geographic locations.
- Opportunity to work with cutting-edge GenAI and big data technologies.
- Environment that emphasizes high expectations for individual ownership and professional impact.
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