Senior Software Developer - FinOps Cloud Development Platform

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 — Service Now 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.

Join the Global Cloud Services organization’s Fin Ops Tools team, which is building Service Now’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 building the Cloud Development Platform that empowers our 30+ data practitioners (data scientists, analysts, and Fin Ops engineers) to collaborate and product ionize analytics at scale.

We are building a cloud‑native data development platform that bridges the gap between exploratory analysis and production‑grade workflows. As our founding Staff Software Developer focused on Cloud Development Infrastructure, you will design, architect, and rapidly implement a platform built on VS Code, Coder, and Jupyter that seamlessly integrates with our existing data stack (Trino, dbt, Iceberg, Lightdash, Argo Workflows).

You will establish opinionated, automated pathways from notebook experimentation to production pipelines, moving at startup speed within an enterprise environment. This role demands aggressive execution: working prototype in 3 months, production‑ready platform in 6 months.

This is a unique opportunity to build from the ground up and define how data development happens at Service Now’s scale.

• Design and architect the foundational cloud development platform for notebook‑based data workflows
• Lead technical decision‑making on workspace provisioning, developer experience, and productionization pathways
• Establish best practices for notebook‑to‑production workflows, including git integration, parameterization, validation, and automated deployment
• Drive innovation in data development platforms, leveraging AI/ML tools for enhanced developer productivity
• Move fast: deliver working MVP in 3 months, production system scale in 6 months

• Build and customize cloud workspace infrastructure using Coder (open source) on Kubernetes
• Develop VS Code extensions (Type Script) for productionization workflows: notebook validation, parameterization, and Argo Workflow generation
• Implement opinionated notebook templates and validation rules for production‑ready data pipelines
• Create seamless integrations between notebooks and Service Now’s data stack:
  Trino queries, Iceberg table outputs, Lightdash previews, dbt transformations
• Build backend services (Python) for workflow orchestration, notebook parsing, and metadata management
• Deploy Jupyter Hub initially, then progressively replace components with custom platform features based on user feedback

• Design container images with embedded security policies, pre‑configured data access to Trino/Iceberg tables, and optimized dependencies
• Implement git‑native workflows with automated notebook versioning, code review integration, and CI/CD pipelines
• Build observability and monitoring for workspace health, user activity, and pipeline success rates
• Establish infrastructure foundation that scales from 5 early adopters to 30+ practitioners within first year

• Create "template‑based" notebook workflows with opinionated structure: parameterization (Papermill‑style), Iceberg table outputs, validation checkpoints
• Build CLI and UI tooling for one‑click productionization: notebook → Argo Workflow with minimal manual intervention
• Establish…