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.

Benefit options available through Magnit Global, depending on contract factors and upon meeting requirements.

About The Work

• 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
• 5+ Yrs of Overall experience in the systems engineering and infrastructure domain, Deep Linux knowledge with 5+ years' experience
• Strong Kubernetes knowledge with 5+ years' experience running K8S in production, ideally CKA qualified
• Hands on experience with Cloud native automation and tooling (Flux/Argo, terraform, Helm)
• Networking skills with ingress/egress, loadbalancing, DNS, TLS, firewalls. Service mesh experience a plus
• Strong software development skills in Golang or Python. Experience with custom operators a plus
• 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.
• Third level qualification in a related area (Software Development, Computer Science, Telecoms engineering)
• Relevant industry certifications (CKA, RHCE, LFCS, Amazon/Google/Azure cloud qualifications)

Equal Opportunity Employer

Magnit Global 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.