Software Engineering PMTS, Distributed Data Service

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$197,300–$313,700 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $256k
$131k most similar roles pay here $333k

This role pays more than 82% of similar roles. Most pay $162,050–$242,312 — the shaded band above. At the midpoint, this role pays about $256k versus about $202k for comparable roles.

Based on 238 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 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

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At a glance

TL;DR · Software Engineering PMTS, Distributed Data Service

As a Software Engineering PMTS on the Distributed Data Services team, you will build and maintain critical backend infrastructure that ensures Slack remains performant, reliable, and scalable for large enterprise customers. You will design, build, and ship edge caching services that handle approximately 35% of all API traffic, while also managing systems for Enterprise Key Management and Data Residency. Your daily responsibilities include triaging production issues, writing automation code to reduce manual intervention, participating in on-call rotations, and contributing to technical design proposals. The role requires expertise in building large-scale distributed systems and managing critical infrastructure. You will work with technologies including Go, Java, PHP, and Hack, while potentially utilizing AWS, Docker, and Kubernetes. This role solves complex problems regarding high availability and low latency for globally distributed customers within a highly regulated environment.

What you'll do

  • Design, build, ship, and maintain edge caching services that handle a significant portion of Slack's API traffic.
  • Triage bugs and resolve complex production issues across the full technology stack.
  • Write code to automate maintenance tasks and reduce the need for manual intervention.
  • Develop solutions to improve the reliability, performance, and scalability of distributed systems.
  • Participate in an on-call rotation to triage and address critical production incidents.
  • Author and review technical design proposals and documentation for infrastructure improvements.
  • Perform peer code reviews and provide feedback on engineering designs.

What we're looking for

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent training/experience.
  • 6+ years of professional experience building large-scale systems.
  • Experience managing critical production infrastructure and maintaining reliability and uptime.
  • Experience with reliable, safe distributed systems and understanding engineering and product trade-offs.
  • Proficiency in writing unit tests, performing code reviews, and creating design documentation.
  • Experience developing and operating web applications professionally.
  • US Citizen or Green Card holder.
  • Experience with Go, AWS, Docker, Kubernetes, or FedRAMP/NIST frameworks (preferred).

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