Senior (DevOps) Machine Learning Engineer

ServiceNow (ATG) is hiring a Senior (DevOps) Machine Learning Engineer in Santa Clara, CA (onsite). In this role, you’ll help build cloud-based AI/ML solutions that power intelligent enterprise services while improving workflow efficiency. You’ll work in a production-focused environment with strong emphasis on Kubernetes operations, observability, and end-to-end ownership, from design through delivery.

What you’ll do

• Build and deliver cloud AI/ML solutions to support intelligent enterprise services
• Collaborate daily with developers, product managers, and quality engineers to produce quality software
• Partner with product owners to understand requirements and own code end-to-end: design, implementation, testing, and delivery
• Deploy, scale, and operate services in production Kubernetes, including Helm-based deployments and CI/CD pipelines that enable repeatable releases and safe rollbacks
• Own observability for what you build, including meaningful metrics, useful logs, real tracing, and alerts that trigger on customer impact rather than noise
• Debug and resolve production incidents independently, participate in on-call, conduct root-cause analysis, and operate against service level objectives

What you bring

• Expertise in Go or Python, including design patterns and time and space-efficient algorithms
• Experience building new products that apply challenging algorithms
• Expertise in writing efficient, object-oriented, modularized and high-quality software
• Knowledge of core AI/ML techniques and algorithms
• Knowledge of unit testing, profiling, and code tuning

Technologies you’ll work with

• Go, Python, Kubernetes, Helm, CI/CD, GitHub Copilot, Cursor

How AI coding assistants fit in

Confident use of AI coding assistants such as GitHub Copilot or Cursor, with a critical review approach to validate AI-generated code for logic errors, security anti-patterns, and missed edge cases. Experience with AI-assisted debugging and trace analysis, along with awareness of data privacy rules for prompts.

Compensation and benefits

• Base pay of $161,300 - $274,200 per year, plus equity (when applicable) and variable/incentive compensation and benefits
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs

Work location and personas

ServiceNow uses assigned work personas (flexible, remote, or required in office). Eligibility may include confirming the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal opportunity and accommodations

Equal Opportunity Employer: ServiceNow is an equal opportunity employer and considers qualified applicants for employment without regard to protected categories. Individuals with arrest or conviction records will be considered in accordance with legal requirements.

Accommodations: If you need a reasonable accommodation during the application process, email [email protected] for assistance.

Export control notice

Employment may be contingent upon ServiceNow obtaining any export license or other approval required by relevant export control authorities for roles requiring access to controlled technology.