Senior Staff Software Developer - Cloud Analytics & FinOps Engineering 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 — 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.

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 ServiceNow's next-generation FinOps governance platform. 

Role 

We are building a modern data platform powering next-generation analytics to support ServiceNow's 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 ServiceNow's 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 AI's 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,