Cloud Engineer – HPC Compute chez Chevron

Total Number of Openings

Job Description Summary:

Delivers High Performance Computing (HPC) application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML).

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 speed 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 Global Capability Center (GCC) 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 This Position:

Cloud Engineer – HPC Compute

Experience

5-7 years of applicable job experience.

Job Description

The High-Performance Computing (HPC) team is responsible for providing application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML). The successful candidate will partner with scientists, engineers, and other HPC infrastructure and application experts to provide HPC solutions that fully leverage the computing resources.

Responsibilities

• Collaborate with colleagues in HPC Computing, Information Technology, Subsurface Platform, and Upstream/Downstream business units to design and deliver HPC solutions in Microsoft Azure.
• Optimize and automate operations support activities.
• Effectively and efficiently troubleshoot and resolve system problems, including analyzing current application requirements and performance.
• 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.
• Effectively align, collaborate, and build relationships with peers, company leadership, subject matter experts and HPC system users.

Selection Criteria

• Technical Knowledge and Skills- The preferred candidate will have knowledge and experience in  Linux, Cloud (preferably Microsoft Azure), and storage system administration experience in a large-scale enterprise environment plus one or more of the following areas: scripting skills (e.g. Python, shell, Ansible), HPC job scheduling systems (e.g., Slurm or PBS), parallel file systems (e.g., Lustre, Weka), and Azure VM Scale Sets.  Hands-on experience with Ansible, Azure Active Directory, Microsoft Active Directory, and MS Office products.

• Project Execution and Troubleshooting - Demonstrated ability to develop execution plans to meet business objectives; identify and mitigate risk; anticipate, recognize, and resolve operational problems; and determine root causes of incidents and create solutions.
• Technology Deployment- Demonstrated ability to document processes; learn and apply knowledge of new products and emerging technology; leverage technology practices, standards, and procedures; apply IRM policies, standards, and controls; manage mid-sized infrastructure evaluation and deployment projects; and lead introduction of technology.
• Communication and Teamwork- Ability to communicate in a clear and concise manner, consider the views and concerns of others, achieve objectives through teamwork, and deliver consistently on commitments.            

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm.

Chevron participates in E-Verify in certain locations as required by law.