About the company
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.
Responsibilities
- Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.)
- Own your code from design through implementation, test automation, and delivery
- Collaborate with product managers to define feature sets that solve real customer problems
- Work with architects to shape product design and with QE to enhance quality and performance
- Contribute to new product features and enhance existing offerings
- Mentor peers and promote knowledge-sharing across the team
Requirements
- Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Hands-on experience with columnar/analytical data stores (e.g., ClickHouse, Apache Druid, Snowflake, BigQuery, Redshift, or Vertica), including schema design, partitioning, and query optimization for large-scale analytical workloads
- Experience building and operating distributed data pipelines for high-volume ingestion, transformation, and reconciliation (e.g., Apache Spark, Kafka, Flink, Airflow, or dbt)
- Experience creating dashboards and analytic reports with tools such as Power BI, Tableau, or Looker
- 8+ years of experience in software engineering, with a track record of delivering high-quality products
- Proficiency in Python, Java, or similar object-oriented languages
- Experience with modern front-end frameworks such as Angular, React, or Vue
- Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
- Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
- Understanding software quality principles including reliability, observability, and production readiness
- Ability to troubleshoot complex systems and optimize performance across the stack
- Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency
- Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
Conditions
- Full-time
- Employee Type: Regular
- Region: AMS - North America and Canada
- Work Persona: Flexible or Remote