Senior Staff Software Developer - Cloud Analytics & FinOps Engineering Platform
Senior Staff Software Developer - Cloud Analytics & FinOps Engineering Platform
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Team
Join the Global Cloud Services organization as the founding member of our Cloud Analytics & FinOps Engineering Platform team. You will be instrumental in establishing the technical foundation and architectural direction for ServiceNows next-generation FinOps governance platform.
Role
We are building a modern data platform powering next-generation analytics to support ServiceNows Cloud and AI growth. As our founding Senior Staff Software Developer for Public Cloud Analytics & FinOps Engineering Platform you will design architect and implement the core foundation of our multi-cloud and private cloud cost governance data platform.
You will have ownership over data modeling ingestion query performance optimization and metadata management using cutting-edge tools and frameworks like Trino dbt Iceberg and Lightdash while establishing ServiceNow as a thought leader in the FinOps space.
This is a unique opportunity to build from the ground up and shape the future of cloud financial management at enterprise scale.
What you get to do in this role:
Technical Leadership & Architecture
- Design and architect the foundational data platform infrastructure for multi-cloud and private cloud cost governance
- Lead technical decision-making on technology stack implementation approaches and architectural patterns
- Establish best practices for data modeling pipeline development and platform scalability using modern data stack technologies
- Drive innovation in FinOps data analytics leveraging AI/ML tools for enhanced developer productivity and platform capabilities
- Principal Software Developer - Cloud Analytics & FinOps Engineering Platform
Hands-On Development
- Build and optimize distributed data systems using Trino dbt Apache Iceberg and AWS services
- Develop robust ETL/ELT pipelines using Apache Airflow and modern orchestration frameworks
- Implement advanced data models for complex cost allocation showback/chargeback and unit economics analysis
- Create scalable solutions for hyperscaler cost & usage billing data integration and enterprise data blending
Platform Foundation
- Establish data lakehouse architecture on AWS leveraging technologies like Apache Iceberg and BigQuery
- Implement metadata management. Should be familiar with AWS Glue catalog Hive Metastore and Iceberg-compatible catalogs
- Design query optimization strategies for complex analytics workloads across petabyte-scale datasets
- Build governance frameworks for data discovery lineage and quality management
AI-Driven Development
- Leverage cutting-edge AI development tools (Cursor Windsurf ChatGPT GitHub Copilot) to accelerate development velocity
- Establish AI-augmented development practices and mentor team members on effective AI tool utilization
- Drive innovation in AI-assisted code generation testing and platform optimization
Thought Leadership & External Presence
- Represent ServiceNow at industry conferences and FinOps community events
- Contribute to open-source projects and establish ServiceNows presence in the modern data stack ecosystem
- Drive technical content creation including whitepapers blog posts and conference presentations
- Build strategic relationships with technology vendors and the broader FinOps community
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 AIs potential impact on the function or industry.
- 10 years of experience in data or software engineering with deep expertise in distributed data systems and cloud-native architecture
- Proven experience building and scaling data platforms on AWS including compute storage orchestration and monitoring
- Expert-level proficiency with modern data stack technologies: dbt Trino/Presto Apache Iceberg Apache Airflow
- Advanced SQL skills and experience with query optimization for large-scale analytics workloads
- Hands-on experience with cloud cost management and FinOps data analysis
- Bachelors degree in Computer Science Engineering or related technical field required
- Full professional proficiency in English
Technical Expertise
- Modern table formats experience with Apache Iceberg Delta Lake or Hudi
- Data lakehouse architecture design and implementation at scale
- Cloud-native development with AWS services (S3 EC2 EKS Lambda Glue etc.)
- Containerization and orchestration using Docker and Kubernetes
- Infrastructure as Code using tools like Terraform CDK or CloudFormation
- Programming proficiency in Python SQL and JavaScript/TypeScript
FinOps & Cloud Cost Management
- Proven track record building showback/chargeback systems at enterprise scale
- Experience with multi-cloud cost management (AWS GCP Azure)
- Kubernetes cost allocation and container economics expertise
- Understanding of cloud billing APIs and cost optimization strategies
Leadership & Communication
- Conference speaking experience and thought leadership in data engineering or FinOps
- Strong technical writing and documentation skills
- Proven ability to work autonomously and drive technical decisions
- Experience establishing technical foundations for new teams/products
- Excellent collaboration skills across engineering product and business stakeholders
Nice to Have
- FinOps Certified Practitioner or AWS Certified Cloud Practitioner
- Open-source contributions to data engineering or FinOps tools
- Experience with additional query engines (Spark Snowflake BigQuery)
- Data visualization experience with tools like Lightdash Tableau or similar
- Patent applications or publications in data systems or cloud technologies
GCS-23
For positions in this location we offer a base pay of $187600 - $328300 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 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 :
No
Employment Type :
Full-time
Employment Type
Full-time
