Software Engineering LMTS

Salesforce

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$172,500–$313,700 / yr
Posted
30 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $243k
$119k most similar roles pay here $335k

This role pays more than 90% of similar roles. Most pay $142,400–$204,912 — the shaded band above. At the midpoint, this role pays about $243k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

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 86 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 77 roles with salary data.

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At a glance

TL;DR · Software Engineering LMTS

Join Salesforce Database Engineering as a Senior Database Development Engineer to deliver critical features in cloud-native database archival technology. You will work closely with a team of skilled engineers to architect, develop, test, and maintain the service, ensuring high availability and scalability across all supported environments. Your daily tasks include designing and developing high-quality code for reliability and performance improvements, creating automated testing frameworks, and collaborating on cross-team initiatives to enhance observability and troubleshooting capabilities. Ideal candidates have a strong background in cloud infrastructure, database internals, and distributed systems, with experience using Kubernetes, AWS services like EKS and IAM, and tools such as Helm and Terraform. Proficiency in Java or Python, CI/CD automation, and telemetry-driven operations is essential for this role that demands excellence in delivering secure, scalable, and resilient solutions at petabyte scale.

What you'll do

  • Own design and development to deliver technical outcomes on all product and platform-related issues.
  • Design and develop high-quality code to improve archival service reliability, availability, quality, performance, and scalability.
  • Develop test strategies, design automation frameworks, and write unit/functional tests to drive up code coverage and automation metrics.
  • Demonstrate engineering expertise by collaborating with broader engineering teams, architects, and managers to execute the strategy for feature areas.
  • Resolve customer issues urgently and troubleshoot service problems with a focus on automation.

What we're looking for

  • BS/MS in computer science or a related field with 10+ years of software development experience.
  • Proven experience developing backup/restore/database features for cloud databases.
  • Strong background in Scrum and Agile development methodologies.
  • Expertise in Kubernetes for building and managing stateful application clusters.
  • Knowledge of infrastructure as code using tools like Helm, Terraform, AWS (EKS, EC2, IAM, VPC, S3).
  • Deep understanding of object-oriented programming and scripting languages (Java, Python).
  • Experience with CI/CD automation and open-source technologies (Jenkins, Spinnaker, Docker).

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