Team
Join the Global Cloud Services organizations FinOps Tools team which is building ServiceNows 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 FinOps engineers) to collaborate and productionize analytics at scale.
Role
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 ServiceNows scale.
What Youll Do Core Responsibilities
- Design and develop scalable maintainable and reusable software components with a strong emphasis on performance and reliability.
- Collaborate with product managers to translate requirements into well-architected solutions owning features from design through delivery
- Build intuitive and extensible user experiences using modern UI frameworks ensuring flexibility for customer-specific needs.
- Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
- Integrate automated testing into development workflows to ensure consistent quality across releases.
- Participate in design and code reviews ensuring best practices in performance maintainability and testability.
- Develop comprehensive test strategies covering functional regression integration and performance aspects
- Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
- Promote a culture of engineering craftsmanship knowledge-sharing and thoughtful quality practices across the team.
Technical Leadership & Architecture
Design and architect the foundational cloud development platform for notebook-based data workflowsLead technical decision-making on workspace provisioning developer experience and productionization pathwaysEstablish best practices for notebook-to-production workflows including git integration parameterization validation and automated deploymentDrive innovation in data development platforms leveraging AI / ML tools for enhanced developer productivityMove fast : deliver working MVP in 3 months production system scale in 6 monthsHands-On Development
Build and customize cloud workspace infrastructure using Coder (open source) on KubernetesDevelop VS Code extensions (TypeScript) for productionization workflows : notebook validation parameterization and Argo Workflow generationImplement opinionated notebook templates and validation rules for production-ready data pipelinesCreate seamless integrations between notebooks and ServiceNows data stack : Trino queries Iceberg table outputs Lightdash previews dbt transformationsBuild backend services (Python) for workflow orchestration notebook parsing and metadata managementDeploy JupyterHub initially then progressively replace components with custom platform features based on user feedbackPlatform Foundation
Design container images with embedded security policies pre-configured data access to Trino / Iceberg tables and optimized dependenciesImplement git-native workflows with automated notebook versioning code review integration and CI / CD pipelinesBuild observability and monitoring for workspace health user activity and pipeline success ratesEstablish infrastructure foundation that scales from 5 early adopters to 30 practitioners within first yearDeveloper Experience & Automation
Create template-based notebook workflows with opinionated structure : parameterization (Papermill-style) Iceberg table outputs validation checkpointsBuild CLI and UI tooling for one-click productionization : notebook Argo Workflow with minimal manual interventionEstablish developer guardrails : credential management data access policies resource quotasCollaborate closely with early adopter data scientists to rapidly iterate on workflows and validate usabilityPrioritize platform stability and clear productionization paths over feature breadth in first 6 monthsAI-Driven Development
Leverage cutting-edge AI development tools (e.g.. Cursor Windsurf ChatGPT GitHub Copilot) to accelerate development velocityEstablish AI-augmented development practices and mentor future team members on effective AI tool utilizationDrive innovation in AI-assisted code generation testing and platform optimizationCollaboration & Integration
Work autonomously with guidance from Engineering and FinOps leadershipCollaborate with DevOps team on Kubernetes infrastructure CI / CD pipelines and security policiesPartner with FinOps Tools team members working on Trino dbt Lightdash and Iceberg to ensure seamless integrationsContribute to open-source projects in the notebook and developer tooling ecosystemQualifications :
Qualifications Required Experience
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 AIs potential impact on the function or industry.8 years of experience in software engineering with a track record of delivering high-quality products with deep expertise in full-stack development and cloud-native architecture with a Bachelors degree; or 6 years and a Masters degree; or a PhD with 3 years experience in Computer Science Engineering or related technical field; or equivalent experience.Strong Python skills for backend services API development and data tooling (notebook parsing workflow generation)Proven track record of rapid execution in greenfield environments with evolving requirementsHands-on experience building and scaling developer platforms or internal tools at enterprise scaleDeep understanding of cloud development environments (Coder GitHub Codespaces Gitpod or similar)Strong Kubernetes and containerization expertise for cloud-native application deploymentExperience with data workflows and tooling : Jupyter notebooks orchestration systems (Airflow / Argo) data catalogsFull professional proficiency in EnglishProficiency in Python Java or similar object-oriented languages.Experience with modern front-end frameworks such as Angular React or Vue.Strong knowledge of data structures algorithms object-oriented design design patterns and performance optimizationFamiliarity with automated testing frameworks (e.g. JUnit Selenium TestNG) and integrating tests into CI / CD pipelinesUnderstanding software quality principles including reliability observability and production readiness.Ability to troubleshoot complex systems and optimize performance across the stack.Experience with AI-powered tools or workflows including validation of datasets model predictions and inference consistency.Comfort with development tools such as IDEs debuggers profilers source control and Unix-based systemsTechnical Expertise
VS Code ecosystem : Extension API webview development command palette language servers debugger protocolsCoder or similar platforms : Workspace provisioning remote development environments infrastructure customizationJupyter ecosystem : JupyterHub Jupyter Server Papermill nbconvert or similar notebook toolingKubernetes & containerization : Pod management custom resource definitions Helm charts image securityInfrastructure as Code : Terraform Kubernetes operators GitOps workflowsGit workflows : Branching strategies code review automation CI / CD integrationModern data stack : Familiarity with Trino dbt Iceberg Argo Workflows or similar technologiesAPI design : RESTful services authentication (OAuth / SAML) webhook integrationsPlatform Engineering & Developer Experience
Proven track record building internal developer platforms or productivity tools from scratchExperience designing opinionated workflows that balance flexibility with guardrailsStrong understanding of developer personas : data scientists analysts engineersAbility to iterate rapidly with early adopters and incorporate feedback without over-engineeringExperience with workspace security : secrets management network policies image scanningComfort operating at startup velocity within enterprise constraintsLeadership & Communication
Proven ability to work autonomously and drive technical decisions in ambiguous greenfield environmentsStrong bias toward action : prototype quickly gather feedback iterate aggressivelyStrong technical writing and documentation skills for developer-facing contentExcellent collaboration skills across engineering DevOps and data teamsAbility to establish technical foundations for new products with long-term vision while delivering short-term resultsNice to Have
Open-source contributions Jupyter ecosystem or developer toolingExperience with Argo Workflows Tekton or Kubernetes-native CI / CD systemsFamiliarity with data validation frameworks (Great Expectations dbt tests etc.)Experience with Apache Iceberg or lakehouse architecturesConference speaking or technical blogging on developer platforms or data toolingWhy Join Us
Build and deliver high-impact software that powers digital experiences for millions of users.Collaborate in a culture that values craftsmanship quality and innovation.Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability.Be part of a culture that encourages innovation continuous learning and shared success.GCS-23
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 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.
From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.
Remote Work : Yes
Employment Type : Full-time
Key Skills
Account Payable,C++,Community Support,Garment,Import & Export,Java
Experience : years
Vacancy : 1
