Senior Software Engineer

Salesforce•San Francisco, CA

24d

About The Position

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. As a Senior Member of Technical Staff (SMTS) on the Data Cloud One (DC1) team, you will play a pivotal role in advancing Salesforce’s Data Cloud and Data 360 vision. You will design and scale a core platform that enables customers to work with a unified view of data across multiple Salesforce orgs. This role sits at the intersection of data engineering, platform architecture, and cross-cloud integration, driving innovations that power intelligent customer experiences, analytics, and AI-driven insights across Salesforce products. You will build and operate high-scale, multi-org distributed systems that enable secure cross-org data access, governance, and global user management.

Requirements

8+ years of professional software engineering experience, building and operating production systems at scale.
Strong programming skills in Java.
Experience working with distributed systems and microservices-based architectures.
Hands-on experience with performance measurement, evaluation, and optimization.
Strong understanding of CI/CD pipelines, service deployment, and operational best practices.
Experience with monitoring, alerting, logging, and troubleshooting complex production issues.
Proven ability to work cross-functionally, articulating technical trade-offs and influencing partner teams.
Strong communication skills, with the ability to clearly explain complex technical concepts and drive impact across engineering teams.
Passion for continuous improvement, learning new technologies, and raising the engineering bar.
Ability to adapt to changing priorities, technologies, and problem spaces.
A related technical degree required.

Responsibilities

Design and deliver scalable multi-organization orchestration solutions that power Data Cloud One.
Work with large-scale distributed systems, designing and managing robust data and metadata models.
Partner closely with Product Managers, Architects, and Data Scientists to translate customer needs into production-ready software.
Own and evolve fully orchestrated APIs that integrate with the Salesforce AI Platform.
Define reusable architectural patterns, guardrails, and best practices to improve engineering efficiency, data quality, and system reliability.
Contribute to long-range technical planning and help drive microservices architectures that support machine learning and AI workloads.
Design, develop, debug, and operate resilient distributed services running across thousands of compute nodes in multiple data centers.
Participate in the team’s on-call rotation, diagnosing and resolving complex production issues to maintain high availability.
Establish and enforce processes that ensure high engineering quality and operational excellence.
Exhibit a customer-first mindset, taking accountability for technical decisions and the outcomes delivered by the team.