California Staffing Corporation
Staff Full-Stack Engineer - FinOps BI Platform
California Staffing Corporation, Santa Clara, California, us, 95053
Staff Full-Stack Engineer For Public Cloud Analytics & FinOps Engineering Platform
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. 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. 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 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-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)
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. 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. 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 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-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)