Senior DevOps Engineer (Kubernetes) - Federal

ServiceNow•Santa Clara, CA

2d•$161,300 - $274,200

About The Position

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group that builds intelligent software and smart user experiences with advanced technologies. The team develops and evolves the AI platform and partners with other teams to create AI-powered products and end-to-end work experiences. It also researches and tests emerging AI technologies to establish foundations for future work experiences. In this role, you will help build AI and machine learning solutions that improve user experience and enterprise workflow efficiency. You will build cloud-based AI/ML solutions, collaborate with developers, product managers, and quality engineers, and work with product owners to understand requirements. You will own your code from design and implementation through testing and delivery. The role includes deploying, scaling, and operating services in production Kubernetes environments, using Helm-based deployments and CI/CD pipelines. You will own observability for the services you build, debug and resolve production incidents, participate in on-call, conduct root-cause analysis, and operate against defined service level objectives.

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/ML techniques and algorithms.
Knowledge of unit testing, profiling, and code tuning.
Ability to deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines.
Ability to own service observability, troubleshoot production incidents independently, participate in on-call, conduct root-cause analysis, and operate against defined service level objectives.

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, and understanding of data privacy rules governing prompt content.

Responsibilities

Build cloud-based AI/ML 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.
Own code through design, implementation, testing, and delivery.
Deploy, scale, and operate services in production Kubernetes environments.
Use Helm-based deployments and CI/CD pipelines to make releases repeatable and safe to roll back.
Provide observability for services through meaningful metrics, useful logs, tracing, and customer-impact-focused alerts.
Independently debug and resolve production incidents.
Participate in on-call, perform root-cause analysis, and operate against defined service level objectives.