Staff Software Engineer

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, 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. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. About This 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 Forecasting & Planning Applications, creating the full-stack platform that empowers our finance and engineering teams to forecast, plan, and optimize cloud spend at enterprise 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  To be successful in this role you have:  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.  8+ years of experience in software engineering with deep expertise in full-stack development and c