Software Engineering LMTS

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Lead Software Engineer with experience across distributed systems to develop intelligent, data-driven tools for strategic financial operations decision-making.

Responsibilities:

• Develop, automate, enhance, maintain scalable data pipelines
• Independently design and develop resilient and reusable data automation frameworks
• Lead distributed backend development pipeline development being delivered by multiple engineers (predominantly Python)
• Automate cost anomaly detection, alerting, forecasting, budget process, and other FinOps capabilities
• Develop and maintain dashboards and reports to visualize cloud cost and usage trends
• Collaborate with finance and engineering teams to understand and manage cloud spending
• Lead and participate in requirement gathering, design, and development of complex datasets
• Mentor team members in all aspects of the data maturity lifecycle
• Work and collaborate with global teams across AMER and APAC regions

Requirements:

• Bachelor's degree in Computer Science or equivalent industry experience
• 7+ years of experience in data engineering, preferably in cloud or FinOps environments
• Experience in distributed computation such as Spark and Trino
• Deep expertise in building data pipelines using tools like dbt, Airflow, and similar orchestration frameworks
• Strong communication and stakeholder management skills
• Experience working in Agile and Scrum methodology, incremental delivery, and CI/CD
• Experience in at least one cloud service providers including AWS or GCP
• Experience in distributed backend software engineering environments
• Experience with data visualization tools, preferably Tableau
• Broad experience in distributed backend development