Staff Full-Stack Engineer FinOps BI Platform

Role

We are building a modern data platform powering next-generation analytics to support ServiceNows Cloud and AI growth. As a Staff Full-Stack Engineer for the Public Cloud Analytics & FinOps Engineering Platform you will design implement and deliver core features for our multi-cloud and private cloud cost governance platform.

Your primary focus will be on the BI platform layer. You will collaborate closely with data engineering teams and work hands-on with cutting-edge tools and frameworks like

Trino dbt Iceberg and Lightdash to build robust scalable features that enable cloud financial management at enterprise scale.

This is a unique opportunity to work on a high-impact platform from an early stage. This is a full-time hybrid position where youll contribute to cross-functional teams building the future of FinOps at ServiceNow.

What you get to do in this role:

• Feature Development: Design and implement FinOps-specific visualizations dashboards and integrations with production-ready quality
• BI Platform Implementation: Build and enhance the business intelligence layer using Lightdash focusing on cloud cost analytics and governance visualizations
• Data Integration: Collaborate with data engineering teams working on Trino dbt and Iceberg to ensure seamless integration with the BI layer
• Code Quality: Master the Lightdash monorepo contribute high-quality code following best practices and write comprehensive tests
• Cross-functional Collaboration: Work closely with data modeling ingestion and query optimization teams to deliver cohesive solutions
• Technical Excellence: Participate in code reviews contribute to technical documentation and help establish development workflows

Qualifications :

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 AIs potential impact on the function or industry.
• Frontend Expertise (Primary Focus)
  • React 19 with modern hooks and patterns
  • TypeScript with strong type system knowledge
  • Mantine v8 UI component library with Emotion CSS-in-JS styling
  • Vite build system with TanStack Query for server state management
  • Monaco Editor integration for code editing experiences
• Backend Proficiency
  • with framework
  • PostgreSQL with for database operations and migrations
  • TSOA for OpenAPI specification and authentication patterns
• Development Tools & Practices
  • Monorepo experience: pnpm workspaces with TypeScript project references
  • Testing: Jest testing framework
  • Docker containerization and deployment
  • Git workflows including fork management
• Data & Analytics (Important)
  • SQL query writing and basic optimization
  • Business Intelligence tools and visualization best practices
  • Data visualization libraries (ECharts D3 or similar)
  • dbt concepts and workflows (nice to have)
  • Cloud platforms - experience with at least one (AWS Azure or GCP)
  • FinOps principles and cloud cost management concepts (nice to have)
• Must-Have
  • 8 years full-stack development experience with a Bachelors degree; or 6 years and a Masters degree; or a PhD with 3 years experience; or equivalent experience.
  • Expert Level React and TypeScript skills
  • Production experience with modern frontend frameworks and tooling
  • Experience with data visualization libraries
  • Proven ability to work with existing codebases and contribute quality code
  • Strong collaboration and communication skills
• Preferred
  • Monorepo architecture experience
  • Business intelligence or analytics platform development
  • Open source contribution experience
  • FinOps or cloud cost management exposure
  • Performance optimization in React applications
  • Experience with modern data stack technologies (Trino dbt Iceberg)

What Youll Work On:

• Immediate Priorities (First 2 Months)
  • Deep dive into Lightdash codebase architecture and development patterns
  • Understand the data platform architecture and integration points
  • Set up local development environment and establish personal workflows
  • Contribute to FinOps dashboard and visualization features
  • Participate in code reviews and team development practices
• Technical Environment
  • BI Platform: Lightdash (React-based open source BI tool)
  • Monorepo: pnpm workspaces with TypeScript project references
  • Frontend: React 19 Mantine v8 Vite TanStack Query
  • Backend: Express PostgreSQL
  • Data Stack: Trino (query engine) dbt (data modeling) Apache Iceberg (table format)
  • Cloud Platforms: Multi-cloud environment (AWS Azure GCP) and private cloud
  • Testing: Jest Cypress E2E testing
  • Deployment: Docker containers with CI/CD pipelines
  • Code Quality: ESLint TypeScript strict mode automated testing
• Team & Culture
  • Join an early-stage team building ServiceNows FinOps BI platform in a
  • hybrid work environment
  • Open source mindset with emphasis on code quality and best practices
  • Direct contribution to a high-visibility platform supporting ServiceNows cloud cost governance
  • Collaborative environment working with data engineering platform engineering and FinOps stakeholders
  • Learning-focused culture with opportunities to work with cutting-edge technologies
• Success Metrics
  • Month 1: Successfully set up development environment understand codebase architecture and complete first contribution
  • Month 2: Deliver FinOps visualization or dashboard feature independently
  • Month 3: Consistently deliver high-quality features actively participate in code reviews and contribute to platform improvements
• Growth Opportunities
  • Early Stage Impact: Join a platform in its early stages and influence technical decisions as it evolves
  • Technical Growth: Build expertise in FinOps business intelligence and modern data platforms
  • Open Source Contribution: Opportunity to contribute to Lightdash and other open source projects
  • Career Development: Work with experienced engineers and grow your skills in enterprise-scale systems

Ready to build impactful features for cloud financial management at enterprise scale Were looking for someone who thrives in a collaborative environment and is excited about contributing to ServiceNows next-generation FinOps governance platform.

GCS-23

For positions in this location we offer a base pay of $163600 - $286300 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.

Additional Information :

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 creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by 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 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. 

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Remote Work :

No

Employment Type :

Full-time