MTS Engineer: AI-Driven Cloud Security Data Platform

Salesforce.com, inc.

Bellevue (WA)

Hybrid

USD 117,000 - 176,000

Full time

25 hours ago
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Job summary

Salesforce seeks an MTS Engineer to design a secure, cloud-native data platform that processes security signals from 15+ ecosystems and scales to handle 600 TB daily in real-time. You will build robust pipelines, apply AI/ML workflows, and advance governance and remediation automation across the enterprise.

Lead engineering initiatives, mentor peers, and champion secure, scalable architectures with strong collaboration across Security, IT, and Product teams.

Qualifications

  • Bachelor's or Master's degree in Computer Science or Engineering (or equivalent experience).
  • 2+ years in SaaS, PaaS, or IaaS software development.
  • Experience with distributed systems, data engineering, and security fundamentals.

Responsibilities

  • Design and architect a scalable, secure data platform ingesting diverse security data.
  • Build data pipelines across multiple environments (AWS, GCP, Salesforce, vendor systems).
  • Integrate AI/ML and LLM-driven capabilities with evals, guardrails, and cost/latency tradeoffs.
  • Collaborate with cross-functional teams to align data platform with goals.

Skills

Distributed systems
Data engineering
Docker/EKS
Terraform/IAC
Spark/Kafka
Python/Java/Go
Security concepts (SSO/SAML/OAuth)
LLMs/ML in production
Agentic tooling (Claude Code/Copilot)
Linux administration
Communication skills
Agile / teamwork

Education

Bachelor's or Master's in CS/Engineering

Tools

EKS
Terraform
Puppet
Apache Spark
Kafka

Job description

Salesforce seeks an MTS Engineer to design a secure, cloud-native data platform that processes security signals from 15+ ecosystems and scales to handle 600 TB daily in real-time. You will build robust pipelines, apply AI/ML workflows, and advance governance and remediation automation across the enterprise.

Lead engineering initiatives, mentor peers, and champion secure, scalable architectures with strong collaboration across Security, IT, and Product teams.

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