Staff Software Engineer, Data Infrastructure

Salesforce

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$197,300–$313,700 / yr
Posted
10 days ago
Closes
Jun 25, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $256k
$123k most similar roles pay here $334k

This role pays more than 88% of similar roles. Most pay $162,000–$219,516 — the shaded band above. At the midpoint, this role pays about $256k versus about $191k 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 · Staff Software Engineer, Data Infrastructure

Slack is seeking a Staff Software Engineer to join its Data Infrastructure team within the Data Engineering organization, where you will design and operate secure, scalable data platforms enabling trusted insights across Slack’s ecosystem. As a DRI for core data services like StarRocks, Pinot, Trino, Airflow, EMR, and Hive Metastore, you’ll ensure uptime and reliability while driving improvements in security, cost efficiency, and developer experience. You will build automation tools, enhance observability with Grafana, and collaborate closely with cross-functional teams to define technical standards and support models for Slack’s data ecosystem. The role requires 10+ years of relevant engineering experience, proficiency in Python, Golang, Bash, SQL, CI/CD, Terraform, Chef, and Vault, as well as a deep understanding of big data technologies and infrastructure reliability principles.

What you'll do

  • Design and operate reliable data infrastructure for Slack’s analytics and ML.
  • Serve as DRI for core data services, ensuring uptime and reliability.
  • Drive improvements in security, cost efficiency, and developer experience.
  • Build automation tools to empower teams to manage data workflows easily.
  • Enhance observability and monitoring on services via Grafana and related tooling.
  • Define best practices and technical standards for Slack’s data ecosystem.

What we're looking for

  • 10+ years of experience in software, platform, or infrastructure engineering with a focus on data-intensive systems.
  • Proven track record in building and operating distributed infrastructure at scale.
  • Strong technical expertise with big data technologies like Pinot, StarRocks, Trino, EMR, Airflow, Hive Metastore.
  • Proficiency in Python, Golang, Bash, SQL, CI/CD tools, Vault, Terraform, Chef, and Grafana.
  • Deep understanding of infrastructure reliability, observability, and cost efficiency principles.
  • Excellent communication skills and ability to collaborate across cross-functional teams.

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