Sr Mgr, Systems Engrg Mgmt

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

To be successful in this role you have

JV20

Responsibilities

Contribute to and deliver on our vision for fully automated, scalable and highly available Kubernetes infrastructure to support the growth and innovation of the company; Manage the quarterly and annual planning, team objectives, individual goals, deliverables, hiring, development plans, and performance reviews.; Provide technical guidance for the Kubernetes platform and tooling and participate in architectural reviews with engineering leads.; Own availability, reliability and risk management for production systems at scale.; Incorporate best in class cloud native engineering practices and tooling, leverage and contribute to open source projects, and help the team deliver in house software and automation for our requirements; Manage and develop the India-based engineering team as an integral part of a globally distributed engineering organisation, maintaining close day-to-day collaboration with counterparts in Dublin/EMEA and partners in US and APAC regions.; Collaborate with peer teams on complex, global engineering efforts — building consensus on architecture, coordinating resources, and driving issues and timelines through to completion, even where the work spans multiple teams.

Requirements

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, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.; 12+ years of experience building production infrastructure and automation, including substantial hands-on experience with Linux, distributed systems, software development and containerisation technology. Experience building and operating Kubernetes is highly desirable.; 5+ years managing systems and software engineers, with a track record of hiring, developing, and retaining strong engineers and building teams that deliver.; Fluency with the components of modern cloud infrastructure including hyperscaler services, Kubernetes, cloud native networking & loadbalancing, service mesh, CI/CD & gitops tooling such as Terraform, ArgoCD, Crossplane; Prior experience in software development/engineering, release management, DevOps and managing large-scale server infrastructure in a 24/7 environment.; The ability to lead effective incident response for the platform, distil root causes and lessons learned, and drive the resulting improvements through to completion — whether the fix lives within the team or requires influencing other engineering groups.