Software Engineering SMTS

Salesforce•San Francisco, CA

1d•$148,500 - $246,000

About The Position

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.

Requirements

BS or higher degree in Computer Science or a related field.
Strong computer science fundamentals, including data structures, algorithms, and distributed systems architecture.
5+ years of progressive experience in software engineering, with a strong focus on large-scale, database-intensive, and highly distributed applications.
Experience with Database-as-a-Service (DBaaS) platforms and a deep understanding of their underlying distributed architecture.
Strong programming skills in languages such as Java or C++.
Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP).
Experience with PostgreSQL software development or open-source community contributions is a strong plus.

Responsibilities

Design and implement complex service features, focusing on high performance, scalability, consistency, and strict reliability within distributed systems.
Optimize database operations at scale, developing robust patterns for data integrity, consistency, and efficient data manipulation across distributed datasets.
Implement solutions for complex scalability problems.
Build and scale database services on AWS, GCP, or other public cloud platforms.
Participate in the team's on-call rotation to address complex issues in real time and keep services operational and highly available.
Troubleshoot and resolve database-related issues in demanding production environments, ensuring rapid recovery, minimal disruption, and sustained high availability.