Senior Systems Engineer, Kubernetes Infrastructure 

Location: Dublin, ie

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

The Systems Engineering organisation provides infrastructure consulting, delivery, and support escalation to ServiceNow’s product teams. 

We are looking for an experienced DevOps engineer to join our team in Dublin. You will be crucial in architecting and deploying robust, scalable, and secure Kubernetes infrastructure in both on-prem and public cloud environments.   

The ideal candidate for this team is energised when presented with new and varied challenges; curious when working with new technologies; and above all derives great satisfaction by seeing an immediate and observable impact of their work on customer outcomes. 

What you get to do in this role: 

• Design, implement and operate Kubernetes based infrastructure utilizing the organization’s current and future cloud native capabilities 

• Provide consultation and support to service owners on their engineering needs within Systems Engineering 

• Work with a broad spectrum of technologies, including containerization, compute and network management tools (such as Terraform and custom tooling), Kubernetes, the ServiceNow platform, configuration management tools, and foundational systems like DNS/LDAP/DHCP, among others. 

• Implement Python/Go, Ansible, Terraform automation and tooling to build, scale and operate the Kubernetes platform 

• Leverage AI tools and techniques to drive improvements in how we build, scale and maintain cloud infrastructure 

• Improve monitoring and alerting leveraging cloud-native tooling such as Prometheus and Grafana 

• Mature and transition developed solutions to SRE for ongoing maintenance 

• Work as part of a team that writes, reviews, and deploys everything as code leveraging gitops workflows and CI/CD pipelines 

• Research and implement new open-source and commercial tools, technologies and methodologies 

Qualifications

To be successful in this role you have: 

• 4+ Yrs of Overall experience in the systems engineering and infrastructure domain 

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry. 

• Proven ability to drive change, with a passion for and experience in successfully introducing new services at scale. 

• A continuous learner mindset, thriving on solving new problems, exploring new technologies, and sharing knowledge with others. 

• Proficiency in software development, including experience in designing, authoring, testing, and debugging code in a popular systems language such as Python, Golang 

• Strong knowledge of and experience with Kubernetes architecture, security, policy agents. 

• Strong experience with monitoring, logging and alerting using tools including Prometheus and Grafana. 

• A deep understanding of Linux systems and their components, including networking, storage, and software packaging, and leveraging config management tools such as Puppet, Ansible. 

• A collaborative mindset, enjoying teamwork and working across different teams. 

• Strong oral and written communication skills. 

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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