Team
Join the Global Cloud Services organization's FinOps Tools team, which is building ServiceNow's next-generation analytics and financial governance platform. Our team owns the full modern data stack: Trino for distributed queries, dbt for transformations, Iceberg for lakehouse architecture, Lightdash for business intelligence, and Argo Workflows for orchestration. You will be the founding engineer dedicated to building the Cloud Development Platform that empowers our 30+ data practitioners (data scientists, analysts, and FinOps engineers) to collaborate and productionize analytics at scale.
Role
We are building a cloud-native forecasting and planning platform that enables data-driven financial governance across ServiceNow's multi-cloud infrastructure. As our founding Staff Software Developer focused on Forecasting & Planning, you will design, architect, and rapidly implement full-stack applications that seamlessly integrate with our existing data stack (Trino, dbt, Iceberg, Lightdash, Argo Workflows).
You will build production-grade forecasting applications from the ground up, translating functional requirements from FinOps stakeholders into robust engineering solutions. This role demands aggressive execution: working MVP in 3 months, full production-scale platform in 6 months.
This is a unique opportunity to build from the ground up and define how financial planning and forecasting happens at ServiceNow's scale.
What you get to do in this role:
Technical Leadership & Architecture
- Design and architect full-stack forecasting and planning applications from functional requirements
- Lead technical decision-making on application architecture, data modeling, and integration patterns
- Establish best practices for building scalable, maintainable financial applications on Kubernetes
- Drive innovation in FinOps tooling, leveraging modern web technologies and data platforms
- Move fast: deliver working MVP in 3 months, production system at scale in 6 months
Hands-On Full-Stack Development
- Build modern web applications using React 19, TypeScript, and Vite
- Develop backend services with Node.js and Express for API development and business logic
- Implement data access layers integrating with Trino, DuckDB, and Iceberg tables
- Create intuitive, high-performance user interfaces for complex financial workflows (spreadsheet-like data entry, interactive visualizations, approval workflows)
- Build RESTful APIs with proper validation, error handling, and documentation
- Deploy applications on Kubernetes with proper containerization and CI/CD pipelines
Data Integration & Analytics
- Integrate forecasting applications with the modern data stack: Trino queries, dbt transformations, Iceberg tables
- Build data pipelines and ETL workflows using Argo Workflows for automated data processing
- Implement real-time data synchronization between forecasting applications and data warehouse
- Create interactive dashboards and visualizations using Recharts, D3.js, or similar libraries
- Optimize query performance for large-scale financial datasets (millions of rows)
Platform Foundation
- Design database schemas and data models for forecasting, planning, and variance analysis
- Implement authentication, authorization, and audit logging for financial applications
- Build observability and monitoring for application health, performance, and user activity
- Establish infrastructure foundation that scales from pilot users to enterprise-wide adoption
- Deploy and manage applications on Kubernetes with proper resource management and scaling
Developer Experience & Automation
- Translate functional requirements from FinOps stakeholders into detailed engineering specifications
- Build reusable UI components and libraries for financial applications (data grids, charts, forms)
- Establish development workflows: local development, testing, CI/CD, deployment
- Create comprehensive documentation for APIs, data models, and user workflows
- Collaborate closely with FinOps team to rapidly iterate on features and validate usability
AI-Driven Development
- Leverage cutting-edge AI development tools (Cursor, Windsurf, ChatGPT, GitHub Copilot) to accelerate development velocity
- Establish AI-augmented development practices and mentor future team members on effective AI tool utilization
- Drive innovation in AI-assisted code generation, testing, and application optimization
Collaboration & Integration
- Work autonomously with guidance from Engineering and FinOps leadership
- Collaborate with DevOps team on Kubernetes infrastructure, CI/CD pipelines, and security policies
- Partner with FinOps Tools team members working on Trino, dbt, Lightdash, and Iceberg to ensure seamless integrations
- Translate business requirements into technical solutions with clear communication to stakeholders