Software Engineering - MTS, Trust Intelligence Platform

What you'll do

• Develop and operate data pipelines and CI/CD automation for vulnerability discovery and dependency remediation across repositories.
• Own feature-level work from design and implementation through deployment, on-call operations, debugging, and maintenance.
• Work with service owners to prioritize and land upgrades; document designs, runbooks, and changes.

What they ask for

• 3+ years in software engineering; strong Python and Java proficiency and reading fluency in at least two of Node.js, Go, and Ruby.
• Hands-on data pipeline experience, including idempotent steps and retry handling; direct experience building and maintaining CI/CD pipelines with automated test coverage.
• Experience with a workflow orchestrator and a lakehouse or columnar query engine; SQL experience with joins, window functions, and CTEs.
• End-to-end feature ownership and a B.S. in Computer Science, Engineering, or equivalent experience.

Nice to have

• Familiarity with supply-chain security standards and at least two listed scanner or remediation tools.
• Experience with reachability analysis, GitHub-at-scale automation, container supply chains, or cloud infrastructure.

Pay

$117,200 - $176,700 annually (base salary); $141,200 - $194,200 annually (base salary)

Tools

Python, Java, Node.js, Go, Ruby, Airflow, Dagster, Prefect

AI focus

Salesforce states it uses AI tools to help recruiters assess and evaluate candidates’ resumes and qualifications; humans make all selection and hiring decisions.