About the Job
The Senior Systems Engineer will engage in the design, lead implementation, and provide Level 3 expert support for large-scale private cloud computing infrastructure, with a focus on technologies including the hardware layer, operating system, hypervisor, and orchestration services. This role is pivotal to Core42, the UAE’s national-scale enabler for cloud and generative AI, leveraging multiple technology disciplines for public sector and large enterprise transformations.
Responsibilities
- Co-design, implement, and manage hybrid virtualization and containerized platforms based on OpenStack, VMware VCF, and/or Red Hat OpenShift, ensuring platform stability, performance, and compliance with industry standards and best practices.
- Collaborate with architecture and engineering teams on evaluating and selecting technology stack components, ensuring solutions are optimized from both functional and non-functional perspectives.
- Conduct regular capacity planning exercises to accommodate the growing demands on the virtualized environment.
- Develop and implement plans to enhance the reliability of the computing infrastructure, ensuring high availability of services.
- Explore, analyze, and implement performance optimization strategies for the cloud computing environment.
- Collaborate with relevant teams to conduct performance assessments and implement improvements.
- Prepare for and participate in complex changes to production environments.
- Develop auto-test and automation solutions for the cloud platform using tools such as Jenkins and Selenium, alongside configuration management tools like Terraform, Ansible, Puppet, Chef, and GitLab CI/CD.
- Provide L3 expert support, including on-call shifts focusing on immediate incident management and resolution.
- Write and maintain relevant documentation and prepare training for operational teams in related technical domains.
- Collaborate with security management teams to ensure systems are secure against cybersecurity threats.
- Work closely with process management and operational teams to standardize and improve collaboration efficiency.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Software Engineering, or a relevant technology field.
- 7+ years of experience and deep expertise in designing, implementing, and managing private cloud stacks, particularly in compute and virtualization technologies.
- Extensive hands-on experience with platforms such as OpenStack, Apache CloudStack, VMware VCF, and Red Hat OpenShift.
- Expert-level proficiency in Linux with at least 5 years of hands-on experience in Linux-based environments.
- Profound understanding of hardware architecture and components (x86 and ARM, NUMA, etc.).
- Good knowledge of network and storage systems, Cloud Native concepts, and technologies.
- Advanced programming and scripting skills in Python and/or Golang.
- Familiarity with data center network designs and technologies (OSI model, TCP/IP stack, routing, etc.).
- Understanding of storage architectures and protocols.
- Familiarity with monitoring and observability tools (e.g., Zabbix, Prometheus, Grafana).
- Knowledge of CI/CD principles, Infrastructure as Code (IaaC), and software-defined infrastructure solutions.
- Experience with databases (SQL/NoSQL) and ITSM tools (e.g., Jira).
- Relevant certifications in Linux, virtualization, and cloud computing are advantageous.
- Knowledge of GPU hardware and AI hardware accelerators is a plus.
- Strong organizational skills and a proactive approach to problem-solving.
What We Look For
A performance-driven, inquisitive individual with the ability to adapt to ambiguity, eager to build collaborations with stakeholders, and passionate about creating customer-centric solutions. A bias for action and a desire to explore new frontiers in the AI space is essential.
What Working At Core42 Offers
- Culture: An open, diverse, and inclusive environment with a focus on personal growth and groundbreaking innovations.
- Career: Outstanding learning, development, and growth opportunities through structured training programs and innovative, high-tech projects.
- Work-Life Balance: A hybrid work policy accommodating both office and home working.
- Rewards: A competitive remuneration package with a range of perks including healthcare, education support, and leave benefits.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
