Join Salesforce's Cloud Economics and Capacity Management (CECM) team as a Lead Engineer! This role focuses on building intelligent, data-driven tools for strategic decision-making in infrastructure expenditure and capacity management. You'll work with a modern tech stack including Python, Airflow, Kubernetes, Spark, Presto, and PostgreSQL in cloud-native environments.
The CECM team develops platforms providing near real-time monitoring of cost and capacity utilization of infrastructure, helping optimize resource allocation and minimize costs. You'll apply advanced machine learning techniques to transform petabytes of infrastructure data into actionable predictions and business insights used daily by capacity planners and technical leaders.
As a Lead Engineer, you'll drive strategy for optimizing cost efficiency and improving utilization across Salesforce services. You'll work cross-functionally with engineers, architects, product managers, and data scientists to build breakthrough features while ensuring stable and scalable applications. The role offers direct interaction with customers for requirements gathering and system design.
This position is perfect for someone passionate about building scalable, resilient, distributed systems handling massive operational data volumes. You'll have the opportunity to mentor team members, lead software development across multiple engineers, and drive capacity visibility improvements. The role combines technical leadership with hands-on development, making it ideal for those who enjoy both coding and strategic planning.
Working at Salesforce means joining a company at the forefront of enterprise software, with a strong focus on innovation and customer success. You'll be part of a self-governing product engineering team with the flexibility to wear multiple hats, from coding to requirements gathering and quality testing.