Staff Software Engineer

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 cloud-native architecture with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience in Computer Science, Engineering, or related technical field; or equivalent experience.  Expert-level proficiency in React and TypeScript, particularly building complex, data-intensive web applications  Strong Node.js and Express skills for backend API development and business logic implementation  Proven track record of rapid execution in greenfield environments with evolving requirements  Hands-on experience building and scaling full-stack applications at enterprise scale  Strong SQL and database design skills for relational and analytical databases  Experience with Kubernetes and containerization for cloud-native application deployment  Ability to translate functional requirements into engineering specifications and deliver production-ready solutions  Full professional proficiency in English  Technical Expertise  Frontend Development: React 19, TypeScript, Vite, modern state management (Context API, Zustand, Redux)  UI Libraries: Experience with data-intensive UI components (AG Grid, Handsontable, or similar), charting libraries (Recharts, D3.js)  Backend Development: Node.js, Express, RESTful API design, authentication/authorization patterns  Databases: SQL proficiency, experience with DuckDB, PostgreSQL, or similar; understanding of analytical databases (Trino, Presto, BigQuery)  Data Technologies: Familiarity with dbt, Apache Iceberg, data lakehouse architectures, or modern data stack  Kubernetes & Containers: Docker, Kubernetes deployments, Helm charts, container orchestration  CI/CD: GitHub Actions, GitLab CI, or similar; automated testing and deployment pipelines  Testing: Jest, Vitest, Playwright, or similar testing frameworks  Version Control: Git workflows, branching strategies, code review practices  Full-Stack Application Development  Proven track record building full-stack applications from scratch (greenfield projects)  Experience designing intuitive UIs for complex business workflows (financial planning, data entry, approval processes)  Strong understanding of application architecture: separation of concerns, API design, data modeling  Ability to balance rapid prototyping with production-ready code quality  Experience with performance optimization for data-intensive applications  Comfort operating at startup velocity within enterprise constraints  Requirements Translation & Communication  Proven ability to work with non-technical stakeholders to gather and refine requirements  Strong technical writing skills for documentation, API specs, and design documents  Ability to translate business needs into technical solutions with clear tradeoffs  Experience presenting technical concepts to diverse audiences (engineers, finance, leadership)  Excellent collaboration skills across engineering, finance, and operations teams  Leadership & Autonomy  Proven ability to work autonomously and drive technical decisions in ambiguous, greenfield environments  Strong bias toward action: prototype quickly, gather feedback, iterate aggressively  Ability to establish technical foundations for new products with long-term vision while delivering short-term results  Experience mentoring junior engineers and establishing coding standards  Nice to Have  Experience building financial planning, forecasting, or budgeting applications  Familiarity with FinOps principles and cloud cost management  Experience with Argo Workflows, Airflow, or similar workflow orchestration tools  Experience with Lightdash, Redash, Metabase, or similar BI tools  Experience with JupyterHub or notebook-based analytics platforms  Open-source contributions to React, data visualization, or FinOps tools  Conference speaking or technical blogging on full-stack development or FinOps      For positions in this location, we offer a base pay of $166,500 - $291,400 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.   Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.  Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.  From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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.