Senior (DevOps) Machine Learning Engineer - Federal

ServiceNow•Santa Clara, CA

3d•Remote

About The Position

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. Build the best cloud-based AI/ML solutions to power intelligent enterprise services. Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software. Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.

Requirements

Expertise in Go or Python, Design Patterns, time and space-efficient algorithms
Experience building new products that use challenging algorithms
Expertise in coding efficient, object-oriented, modularized and quality software
Knowledge of core AI/ML techniques and algorithms
Knowledge of unit testing, profiling, and code tuning
DevOps requirements
Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.
Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.
Debug and resolve production incidents independently, participate in on-call, run 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, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready.
AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.

Responsibilities

Build the best cloud-based AI/ML solutions to power intelligent enterprise services
Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.
Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.
Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives