Senior Staff Software Developer - Cloud Analytics & FinOps Engineering Platform

ServiceNow-posted 4 months ago
$187,600 - $328,300/Yr
Full-time • Senior
Pleasanton, CA
Professional, Scientific, and Technical Services
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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. 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. This is a unique opportunity to build from the ground up and shape the future of cloud financial management at enterprise scale.

  • 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
  • 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
  • Establish data lakehouse architecture on AWS, leveraging technologies like Apache Iceberg and BigQuery
  • Implement metadata management and design query optimization strategies for complex analytics workloads
  • Build governance frameworks for data discovery, lineage, and quality management
  • Leverage cutting-edge AI development tools to accelerate development velocity
  • Establish AI-augmented development practices and mentor team members on effective AI tool utilization
  • 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
  • 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
  • Bachelor's degree in Computer Science, Engineering, or related technical field required
  • Full professional proficiency in English
  • 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
  • Base pay of $187,600 - $328,300, plus equity (when applicable), variable/incentive compensation and benefits
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP, matching donations
  • Flexible time away plan and family leave programs
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