Senior DevOps Engineer (Kubernetes) - Federal

ServiceNow•Santa Clara, CA

About The Position

The Senior DevOps Engineer will work with ServiceNow’s AI Services Platform Group, a customer-focused innovation group that builds intelligent software and user experiences using advanced technologies. The group develops and evolves the AI platform, partners with teams on AI-powered products and experiences, and researches and evaluates technologies for future work experiences. The role contributes to AI and machine-learning solutions designed to improve enterprise service user experiences and workflow efficiency, including solutions usable by people without technical expertise. The engineer will build and operate cloud-based services and collaborate with developers, product managers, and quality engineers to deliver high-quality software to enterprise customers.

Requirements

Expertise in Go or Python, design patterns, and time- and space-efficient algorithms.
Experience building new products that use challenging algorithms.
Expertise in writing efficient, object-oriented, modularized, high-quality software.
Knowledge of core AI and machine-learning techniques and algorithms.
Knowledge of unit testing, profiling, and code tuning.
Ability to deploy, scale, and operate services in production Kubernetes environments.
Experience with Helm-based deployments and CI/CD pipelines.
Ability to independently debug and resolve production incidents, participate in on-call, and conduct root-cause analysis.

Nice To Haves

Confident use of AI coding assistants such as GitHub Copilot or Cursor, with the ability to critically review generated code for logic errors, security anti-patterns, and missed edge cases.
Experience with AI-assisted debugging and trace analysis.
Understanding of data privacy rules governing information entered into AI prompts.

Responsibilities

Build cloud-based AI and machine-learning solutions for intelligent enterprise services.
Collaborate with developers, product managers, and quality engineers to produce quality software.
Work with product owners to understand detailed requirements and own code from design through implementation, testing, and delivery.
Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines.
Build release processes that are repeatable and safe to roll back.
Own observability for built services, including metrics, logs, tracing, and customer-impact-focused alerts.
Independently debug and resolve production incidents.
Participate in on-call duties and root-cause analysis, and operate against defined service level objectives.