Senior Staff Software Developer, ServiceNow

• 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
• 10+ years of experience in data or software engineering with deep expertise in distributed data systems and cloud-native architecture
• Proven experience building and scaling data platforms on AWS, including compute, storage, orchestration, and monitoring
• Expert-level proficiency with modern data stack technologies: dbt, Trino/Presto, Apache Iceberg, Apache Airflow
• Advanced SQL skills and experience with query optimization for large-scale analytics workloads
• Hands-on experience with cloud cost management and FinOps data analysis
• Bachelor's degree in Computer Science, Engineering, or related technical field required
• Full professional proficiency in English
• Modern table formats experience with Apache Iceberg, Delta Lake, or Hudi
• Data lakehouse architecture design and implementation at scale
• Cloud-native development with AWS services (S3, EC2, EKS, Lambda, Glue, etc.)
• Containerization and orchestration using Docker and Kubernetes
• Infrastructure as Code using tools like Terraform, CDK, or CloudFormation
• Programming proficiency in Python, SQL, and JavaScript/TypeScript
• Proven track record building showback/chargeback systems at enterprise scale
• Experience with multi-cloud cost management (AWS, GCP, Azure)
• Kubernetes cost allocation and container economics expertise
• Understanding of cloud billing APIs and cost optimization strategies
• Conference speaking experience and thought leadership in data engineering or FinOps
• Strong technical writing and documentation skills
• Proven ability to work autonomously and drive technical decisions
• Experience establishing technical foundations for new teams/products
• Excellent collaboration skills across engineering, product, and business stakeholders

Desirable

• Join the Global Cloud Services organization as the founding member of our Cloud Analytics & FinOps Engineering Platform team
• You will be instrumental in establishing the technical foundation and architectural direction for ServiceNow's next-generation FinOps governance platform
• We are building a modern data platform powering next-generation analytics to support ServiceNow's Cloud and AI growth
• As our founding Senior Staff Software Developer for Public Cloud Analytics & FinOps Engineering Platform, you will design, architect, and implement the core foundation of our multi-cloud and private cloud cost governance data platform
• You will have ownership over data modeling, ingestion, query performance optimization, and metadata management using cutting-edge tools and frameworks like Trino, dbt, Iceberg, and Lightdash, while establishing ServiceNow as a thought leader in the FinOps space
• This is a unique opportunity to build from the ground up and shape the future of cloud financial management at enterprise scale
• Design and architect the foundational data platform infrastructure for multi-cloud and private cloud cost governance
• Lead technical decision-making on technology stack, implementation approaches, and architectural patterns
• Establish best practices for data modeling, pipeline development, and platform scalability using modern data stack technologies
• Drive innovation in FinOps data analytics, leveraging AI/ML tools for enhanced developer productivity and platform capabilities
• Principal Software Developer - Cloud Analytics & FinOps Engineering Platform
• Build and optimize distributed data systems using Trino, dbt, Apache Iceberg, and AWS services
• Develop robust ETL/ELT pipelines using Apache Airflow and modern orchestration frameworks
• Implement advanced data models for complex cost allocation, showback/chargeback, and unit economics analysis
• Create scalable solutions for hyperscaler cost & usage billing data integration and enterprise data blending
• Establish data lakehouse architecture on AWS, leveraging technologies like Apache Iceberg and BigQuery
• Implement metadata management. Should be familiar with AWS Glue catalog, Hive Metastore, and Iceberg-compatible catalogs
• Design query optimization strategies for complex analytics workloads across petabyte-scale datasets
• Build governance frameworks for data discovery, lineage, and quality management
• Leverage cutting-edge AI development tools (Cursor, Windsurf, ChatGPT, GitHub Copilot) to accelerate development velocity
• Establish AI-augmented development practices and mentor team members on effective AI tool utilization
• Drive innovation in AI-assisted code generation, testing, and platform optimization
• Represent ServiceNow at industry conferences and FinOps community events
• Contribute to open-source projects and establish ServiceNow's presence in the modern data stack ecosystem
• Drive technical content creation including whitepapers, blog posts, and conference presentations
• Build strategic relationships with technology vendors and the broader FinOps community