ServiceNow is looking to transform how work is done by leveraging AI-enhanced technology and building intelligent cloud-based platforms. The Cloud Centre of Excellence (CCOE) team needs to design and build infrastructure and platform features to support AI workloads, ensuring scalability, reliability, and user-friendliness for customers.
Requirements
- 3+ years of development experience with languages like Python, Go, Java, or similar.
- Advanced expertise in JavaScript, modern UI frameworks, and REST API development.
- AI or Machine Learning implementations are required.
- 3+ years of hands-on experience in infrastructure, platform operations, deployments, and DevOps practices.
- Familiarity with DevOps tools such as Helm, Terraform, Kubernetes, Docker, Splunk, and Jenkins.
- Experience with software-defined networking, infrastructure as code, and configuration management.
- Hands-on experience with any one of the major Cloud platforms like Microsoft Azure, Google Cloud (GCP), or Amazon Web Services (AWS).
Responsibilities
- Write high-quality, clean, and reusable code by adhering to best practices in software architecture and engineering processes (e.g., Code Reviews, Unit Testing).
- Partner with product owners to fully understand requirements, and take ownership of your code from design through implementation, test automation, and final product delivery.
- Play a key role in designing, developing, and implementing infrastructure, platform, deployment, and observability features that support AI workloads.
- Work closely with researchers, AI engineers, and infrastructure teams to ensure the performance, scalability, and reliability of Kubernetes clusters.
- Contribute to the design and development of new automation solutions and features.
- Build software that is intuitive and user-friendly, enabling customers to easily extend and customize functionality to meet their unique needs.
Other
- A Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related field is preferred.
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Proven experience in driving large-scale deployments for enterprise clients, especially with AI-based products.
- Ability to lead projects with significant technical risk and deliver successful outcomes.
- Strong team collaboration skills, attention to detail, and the ability to communicate effectively with others.
