ServiceNow
Staff Full-Stack Engineer – FinOps BI Platform
ServiceNow, Pleasanton, California, United States, 94566
Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today – ServiceNow stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description Role We are building a modern data platform powering next‑generation analytics to support ServiceNow’s 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 you’ll contribute to cross‑functional teams building the future of FinOps at ServiceNow.
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 AI’s 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
Node.js with Express.js framework
PostgreSQL with Knex.js 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 Bachelor’s degree; or 6 years and a Master’s 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 You’ll 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: Node.js, Express, PostgreSQL, Knex.js
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 ServiceNow’s 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 ServiceNow’s 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? We’re looking for someone who thrives in a collaborative environment and is excited about contributing to ServiceNow’s next‑generation FinOps governance platform.
GCS‑23For positions in this location, we offer a base pay of $163,600 – $286,300, 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. 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 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 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.
ServiceNow
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Job Description Role We are building a modern data platform powering next‑generation analytics to support ServiceNow’s 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 you’ll contribute to cross‑functional teams building the future of FinOps at ServiceNow.
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 AI’s 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
Node.js with Express.js framework
PostgreSQL with Knex.js 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 Bachelor’s degree; or 6 years and a Master’s 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 You’ll 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: Node.js, Express, PostgreSQL, Knex.js
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 ServiceNow’s 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 ServiceNow’s 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? We’re looking for someone who thrives in a collaborative environment and is excited about contributing to ServiceNow’s next‑generation FinOps governance platform.
GCS‑23For positions in this location, we offer a base pay of $163,600 – $286,300, 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. 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 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 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.
ServiceNow
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