Sr. Systems Engineer - Cloud Infrastructure ML/AI

Key Skills

Aartificial intelligence, Agile methodologies, Amazon Elastic Compute Cloud-EC2, Ansible, AWS, Azure, Cloud computing, CloudFormtion, Debugging, GoLang, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Python Programming, Ruby on Rails, Scrum Agile Methodology, Software Development, Spring Boot, Terraform

Job Description

This position reports to Sr. Manager, Systems Engineering Cloud Advancement Team

ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks, and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before.

ServiceNow has been serving customers for 17 years and has built a resilient and robust business, with a solid customer base. The Cloud Infrastructure Systems Engineering team at ServiceNow is looking for help to architect and build the server infrastructure and core services that allow our SaaS platform to run at scale and with high availability. We are looking for a skilled Systems Engineer who can help craft the technology and processes needed to sustain ServiceNow’s growth while gaining valuable experience in modern systems and software development.

What you get to do in this role:

• Support, develop, and maintain software-defined declarative infrastructure, at scale.
• Support build systems, web services, and automation tools that are thoroughly specified, documented, and testable.
• Support, review, build orchestration workflows by leveraging features of the ServiceNow platform.
• Research and implement new open-source and commercial tools, technologies, and methodologies.
• Collaborate with peer teams who have built world-class networking and orchestration solutions. 
• Design and implement Machine Learning & AI infrastructure and tooling.

Qualifications

To be successful in this role you have:

• 4+ years of related experience.
• 2+ years supporting ML/AI Infrastructure
• Can figure things out. You will have documentation and many peers to turn to for help, but your work will touch many interconnected systems and technologies; too many to rely solely on others’ knowledge. To succeed you will need to investigate and discover on your own, being self-driven and accountable.
• Is very comfortable building and maintaining Linux-based systems through automated tooling such as (but not limited to) Terraform, Puppet, Ansible, PowerShell, etc.
• Is comfortable with virtualization using both public and private cloud infrastructure technologies such as Microsoft Azure, Amazon EC2, Google Cloud, etc.
• Is comfortable designing, authoring, testing, and debugging code in a popular systems language such as Python, Go, Java, or Ruby
• Has a working understanding of related infrastructure concepts such as IP networking, block, and file storage, load-balancers, etc.
• Has a working understanding of related internet protocols such as DNS, LDAP, HTTP, SSH, etc.
• Is an excellent oral and written communicator
• Has experience working with Agile software development methodologies (Previous SPRINT/SCRUM experience)
• Has integrity, is honest, and can uphold ServiceNow’s values

While these are not ‘musts’, they are undoubtedly nice-to-have:

• Fulltime software development experience
• Public cloud experience running production services at scale: (Azure, AWS, GCP, etc.)
• Public cloud experience with on-prem to Hybrid or full Public Cloud native migrations which include: Scoping/planning performance characteristics in the migration to Public Cloud infrastructures (IaaS or IaC)
• Extensive experience with performance monitoring, performance troubleshooting, and performance reporting of Public Cloud services & infrastructure
• Public cloud performance bottleneck troubleshooting, debug experience with control plane issues related to the performance of services or infrastructure running in the Public Cloud (Azure, AWS, GCP, etc.)
• Relevant Azure, AWS or GCP certifications
• Deep experience with Terraform, Cloud Formation, Ansible, Azure ARM, (any provider, but especially Azure)
• Previous experience building, operating, maintaining ML or AI infrastructure in Private or Public Clouds

For positions in the Seattle metro/Kirkland areas, we offer a base pay of $133,300 - $226,700, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Additional Information

ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.