ServiceNow is looking to transform how we work by building an Observability and Data platform with innovative AI-enhanced technology to empower organizations to find smarter, faster, and better ways to work.
Requirements
- Experience developing AI-native applications in a production environment.
- 8+ years of hands-on backend development with experience in Java.
- Advanced knowledge of data structures, algorithms, object-oriented design, design patterns, fault-tolerant architecture, and performance/scale considerations.
- Strong knowledge and/or experience with data modeling, tuning, and design across multiple database types such as TimeSeries, log databases, and Postgres.
- Strong design and implementation experience, with deep knowledge of distributed systems, service architectures, and hyperscaler environments.
- Experience with Unix shell and Kubernetes is a must.
- Aptitude for learning new technologies quickly.
Responsibilities
- Contribute to building ServiceNow's Observability and Data platform.
- Design and create reference architectures for distributed systems.
- Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.).
- Partner with product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery of high-quality products to users.
- Implement software that is simple to use, allowing customers to extend and customize functionality to meet their specific needs.
- Contribute to the design and implementation of new products and features while enhancing the existing product suite.
- Lead a team of engineers in delivering products.
Other
- A minimum of 12 years of related experience with a Bachelor's degree; 8 years with a Master’s degree; or 5 years with a PhD; or equivalent experience in Observability, Data Lake, and Big Data domains.
- Experience leveraging or critically evaluating how to integrate AI into work processes, decision-making, or problem-solving.
- Experience using AI productivity tools such as Windsurf, Cursor, etc., is a plus.
- A proven track record of delivering innovative platform capabilities or products.
- Ability to thrive in dynamic, fast-paced environments where priorities evolve quickly.
