Software Engineering MTS, Trust Intelligence Platform

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Employment
Full-time
Posted
12 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $192k
$141k $240k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $156,687–$227,300.

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 MTS, Trust Intelligence Platform

The Software Engineering - MTS, Trust Intelligence Platform role involves building and operating automation to keep third-party and open-source dependencies across a large service fleet patched, auditable, and shipped on time. Joining the Trust Intelligence team, you will own feature-level work on pipelines that discover vulnerable packages, decide on upgrades, open fix PRs across many repositories, and track fixes to production artifacts. You will develop data pipelines for vulnerability data and SBOM artifacts, build batch and streaming jobs, and write scripts for repository-wide automation. The role requires proficiency in Python and Java, with reading-fluency in Node.js, Go, or Ruby. You will use SQL, workflow orchestrators like Airflow or Temporal, and query engines like Spark or Snowflake to solve software supply chain security problems.

What does a Software Engineering earn?

Median $178325 from 38 postings across 15 companies.

See salary data

What you'll do

  • Build and maintain batch and streaming data pipelines to ingest vulnerability data and SBOM artifacts.
  • Develop scripts and services to automate opening PRs and parsing diffs across multiple repositories.
  • Author and maintain CI/CD pipelines with automated test coverage for remediation PRs.
  • Own feature-level work for pipelines that discover vulnerable packages and track fixes to production.
  • Operate and debug production pipelines while reducing toil through automation.
  • Translate noisy scanner output into prioritized, actionable work for engineering teams.
  • Write Python and Java code that adheres to existing codebase conventions and includes regression tests.
  • Create and maintain design docs, runbooks, and clear PR descriptions.

What we're looking for

  • 3+ years of software engineering experience with strong proficiency in Python and Java.
  • Reading-fluency in at least two of Node.js, Go, and Ruby.
  • Hands-on experience contributing to data pipelines, including writing idempotent steps and reasoning about retries.
  • Direct experience building and maintaining CI/CD pipelines with automated test coverage.
  • Experience writing scripts or services to interact with many repositories, including opening PRs and parsing diffs.
  • Experience with a workflow orchestrator (Airflow, Dagster, Prefect, or Temporal) and a lakehouse or columnar query engine.
  • Proficiency in SQL, including non-trivial joins, window functions, and CTEs.
  • B.S. in Computer Science, Engineering, or equivalent experience.

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