Software Engineering SMTS

Salesforce

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Hybrid

Quick summary

Work type: Hybrid
Location: San Francisco, CA
Employment: Full-time
Posted: 28 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $184k

$133k $234k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,943–$215,325.

Based on 240 similar postings.

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About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Software Engineering SMTS

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The Software Engineering SMTS joins the engineering team to design and implement complex service features within distributed systems. This role focuses on high performance, scalability, and strict reliability while optimizing database operations at scale. The engineer will develop robust patterns for data integrity and efficient manipulation across distributed datasets, building and scaling database services on public cloud platforms like AWS, GCP, or Azure. Daily responsibilities include participating in on-call rotations to address real-time issues and troubleshooting database-related problems in demanding production environments. Candidates must possess strong computer science fundamentals, including data structures and algorithms, alongside proficiency in Java or C++. Experience with Database-as-a-Service platforms and PostgreSQL software development is highly valued for solving complex scalability problems in large-scale, database-intensive applications.

Skills

Distributed Systems Java C++ PostgreSQL AWS GCP Azure DBaaS Data Structures Algorithms High Availability Scalability

What you'll do

Design and implement complex service features for high performance and scalability in distributed systems.
Optimize database operations to ensure data integrity and efficient manipulation across distributed datasets.
Build and scale database services on public cloud platforms like AWS or GCP.
Participate in an on-call rotation to address complex production issues in real time.
Troubleshoot and resolve database-related issues to ensure rapid recovery and high availability.
Implement technical solutions for complex scalability problems within the infrastructure.

What we're looking for

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 focusing on large-scale, database-intensive, and highly distributed applications.
Experience with Database-as-a-Service (DBaaS) platforms and their underlying distributed architecture.
Strong programming skills in languages such as Java or C++.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience with PostgreSQL software development or open-source community contributions (preferred).