Cloud Engineer - High Performance Computing

About Chevron IT:

The Information Technology function empowers all of Chevron to harness the benefits of information and digital technologies to drive competitive advantage. Our thirteen IT digital platforms maximize value creation by empowering teams to accelerate innovation, capitalize on scale, drive efficiency and reduce duplication, and faster access to quality data to unlock opportunities across business units and functions. Organized around business capabilities and digital products, the digital platforms span Chevron’s global integrated oil and gas value chain. Our Business Units partner with the enterprise digital platforms to drive effective engagement between IT and all of Chevron with a clear focus on efficiently delivering better, faster results. Our IT Engineering personnel chapters offer a flexible staffing and assignment model that allows us to bring the right skills when and where they are needed and ensure we are focusing on efforts that drive the highest business priorities.

The Chevron ENGINE IT department contains platform teams who are members of the four Petro technical digital platforms and IT Foundation Platform including Surface, Subsurface, Wells (Drilling), and Health, Safety, Environment (HSE), and IT Foundation Digital (ITFP). These teams operate in a matrix environment with priorities determined by global Product Owners and Product Managers.

About the position:

The Chevron ENGINE Cloud Engineer - High Performance Computing (HPC) is a key technical engineer accountable for delivery and support of products and services to Chevron workforce. The product team is part of the HPC Product line within the IT Foundation Digital Platform. This Product line is responsible for digital delivery and support of HPC products and services to the Chevron Enterprise.

Cloud Engineer - HPC will be responsible for providing application and infrastructure solutions that support complex, compute intensive geophysics, reservoir simulation, machine learning and AI workloads, parallel filesystems, and low latency networks. The role partners with scientists, engineers, and other HPC Product Line experts to deliver HPC solutions that fully leverage the computing resources on premises and in the cloud.

Key responsibilities:

• Design, implementation, and support of large compute clusters

• Administration of on-prem and cloud-hosted Linux systems

• Management and optimization of Slurm Workload Manager

• Implementation of automation solutions for system management, maintenance, and monitoring

• Conduct troubleshooting, incident management, and problem management

• Level 3 end-user support (technical escalation)

• Conduct performance monitoring and optimization process

• Support Lustre parallel file system

• Ensure all technical solutions are aligned with the vision, principles, architecture, and standards defined by the relevant architecture teams while ensuring information protection and data privacy

Required qualification:

• Knowledge and at least 5 years experience in Linux, Cloud, and storage system administration experience in a large-scale enterprise environment

• Knowledge of one or more of the following areas: HPC job scheduling systems (e.g., Slurm or PBS), parallel file systems (e.g., Lustre), Azure VM Scale Sets, underlying infrastructure supporting Oil and Gas applications, and configuration management technologies (e.g., Satellite, Ansible, Python, and Azure)

• Bachelor's degree in Computer Science, Information Systems, or comparable field

Bengaluru, Karnataka

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