Systems Engineer - Hyperscaler

Job Title

Staff Systems Engineer – Hyperscaler, Service Now

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

Join us as we pursue our purpose to make the world work better for everyone.

Location:

Kirkland, San Diego or Santa Clara.

The Cloud Advancement Team (CAT) is a highly dynamic, technically advanced group focused on enabling customers’ transition to hyperscaler cloud environments such as AWS, Azure, and GCP. Whether supporting net‑new deployments or migrating existing services, CAT ensures optimal performance across infrastructure layers. This team serves as the frontline for system performance and hardware validation within the hyperscalers, driving innovation in server SKUs (CPU, memory, storage), working with Azure on integration issues, and collaborating with internal teams to ensure the service is scalable and supportable.

CAT is not a traditional operations or ticket‑handling team; instead, it’s a hybrid group with deep engineering focus. The team is responsible for designing and validating hardware configurations, developing automation for deployment, and debugging complex infrastructure issues across hyperscale environments.

• Collaborate with cloud providers (Azure, AWS, GCP) to support migrations and new deployments.
• Design, test, and validate new server SKUs in partnership with Technical Account Managers and engineering teams.
• Build tools and automation to streamline server configuration, validation, and deployment processes before hand‑off to Quality Engineering (QE) testing.
• Design and develop software integrations with cloud services and internal APIs to support automation of infrastructure operations.
• Automate server deployment and scaling processes using tools such as Puppet, Ansible, and Git.
• Troubleshoot and resolve tier‑3 customer performance issues with a strong emphasis on debugging and root cause analysis.
• Act as a technical point of contact for hyperscaler integration issues, particularly for database nodes and performance validation.
• Balance short‑term customer‑driven priorities with long‑term capacity planning and automation improvements.

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving.
• Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
• Strong hands‑on software engineering experience or infrastructure software development experience, with strong proficiency in Python, Go, or similar languages.
• Working knowledge of hyperscaler (GCP, AWS, or Azure).
• Proficient in Linux system administration and debugging.
• Experience with infrastructure automation tools (Puppet, Ansible).
• Solid scripting and automation skills with a developer mindset.
• Familiarity with Git and code‑based deployment workflows.
• Ability to work in a fast‑paced environment where priorities shift frequently.
• Excellent problem‑solving skills, curiosity, and ability to work without a predefined solution path.

• Knowledge of Service Now platform.
• Experience writing infrastructure tests or using test frameworks in a dev‑oriented capacity.
• Background working on developer platforms, Dev Ops tooling, or internal automation systems.
• Exposure to infrastructure‑as‑code tools (Terraform, Ansible) from a software‑centric perspective.

For positions in this location, we offer a base pay of $163,600 – $286,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. The base pay shown is a…