Staff Software Developer, ServiceNow
FinOps Forecasting Platform
$163.6-286.3k
+ Variable/incentive compensation & ESPP
Office located in Santa Clara, CA
Cloud-based digital workflows for enterprises
Open for applications
Cloud-based digital workflows for enterprises
1001+ employees
Open for applications
$163.6-286.3k
+ Variable/incentive compensation & ESPP
Office located in Santa Clara, CA
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- 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
- 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
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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