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 f ull-time, hybrid position where you'll 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 : 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 patternsTypeScript with strong type system knowledgeMantine v8 UI component library with Emotion CSS-in-JS stylingVite build system with TanStack Query for server state managementMonaco Editor integration for code editing experiencesBackend ProficiencyNode.js with Express.js frameworkPostgreSQL with Knex.js for database operations and migrationsTSOA for OpenAPI specification and authentication patternsDevelopment Tools & PracticesMonorepo experience : pnpm workspaces with TypeScript project referencesTesting : Jest testing frameworkDocker containerization and deploymentGit workflows including fork managementData & Analytics (Important)SQL query writing and basic optimizationBusiness Intelligence tools and visualization best practicesData 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-Have8+ 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 skillsProduction experience with modern frontend frameworks and toolingExperience with data visualization librariesProven ability to work with existing codebases and contribute quality codeStrong collaboration and communication skillsPreferredMonorepo architecture experienceBusiness intelligence or analytics platform developmentOpen source contribution experienceFinOps or cloud cost management exposurePerformance optimization in React applicationsExperience 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 patternsUnderstand the data platform architecture and integration pointsSet up local development environment and establish personal workflowsContribute to FinOps dashboard and visualization featuresParticipate in code reviews and team development practicesTechnical EnvironmentBI Platform : Lightdash (React-based open source BI tool)Monorepo : pnpm workspaces with TypeScript project referencesFrontend : React 19, Mantine v8, Vite, TanStack QueryBackend : Node.js, Express, PostgreSQL, Knex.jsData Stack : Trino (query engine), dbt (data modeling), Apache Iceberg (table format)Cloud Platforms : Multi-cloud environment (AWS, Azure, GCP) and private cloudTesting : Jest, Cypress E2E testingDeployment : Docker containers with CI / CD pipelinesCode Quality : ESLint, TypeScript strict mode, automated testingTeam & CultureJoin an early-stage team building ServiceNow's FinOps BI platform in ahybrid work environmentOpen source mindset with emphasis on code quality and best practicesDirect contribution to a high-visibility platform supporting ServiceNow's cloud cost governanceCollaborative environment working with data engineering, platform engineering, and FinOps stakeholdersLearning-focused culture with opportunities to work with cutting-edge technologiesSuccess MetricsMonth 1 : Successfully set up development environment, understand codebase architecture, and complete first contributionMonth 2 : Deliver FinOps visualization or dashboard feature independentlyMonth 3 : Consistently deliver high-quality features, actively participate in code reviews, and contribute to platform improvementsGrowth OpportunitiesEarly Stage Impact : Join a platform in its early stages and influence technical decisions as it evolvesTechnical Growth : Build expertise in FinOps, business intelligence, and modern data platformsOpen Source Contribution : Opportunity to contribute to Lightdash and other open source projectsCareer Development : Work with experienced engineers and grow your skills in enterprise-scale systemsReady 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-23
For 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. 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 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 globaltalentss@servicenow.com 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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