Software Engineering MTS

Salesforce

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Bellevue, WA
Salary
$117,200–$176,700 / yr
Posted
3 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $147k
$105k most similar roles pay here $230k

This role pays less than 75% of similar roles. Most pay $147,193–$214,925 — the shaded band above. At the midpoint, this role pays about $147k versus about $181k 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 MTS

Software Engineering MTS The Data Security Fabric team is seeking a Software Engineering MTS to design and build a secure, cloud-native, and highly scalable data platform aimed at measuring and mitigating enterprise risk. You will develop robust data pipelines to process 600 TB of daily real-time streaming data from diverse sources, including application logs, asset information, and vulnerability data across multiple platforms like AWS, GCP, and Slack. The role involves integrating AI/ML capabilities, such as RAG pipelines, agentic triage workflows, and automated risk scoring into the platform's architecture. You will utilize technologies including Python, Golang, Java, Scala, Apache Spark, Kafka, Hadoop, and SQL/NoSQL. Key responsibilities include managing infrastructure-as-code via Terraform, developing multi-threaded systems, and implementing security protocols like OAuth and TLS to ensure a vendor-agnostic core security system for proactive risk management.

What you'll do

  • Design and architect a scalable, cloud-native data platform to ingest and process diverse security signals from multiple environments.
  • Build and optimize high-volume data pipelines to collect and analyze real-time streaming data from various internal and external sources.
  • Integrate AI/ML and LLM-driven capabilities into the platform for anomaly detection, risk scoring, and automated triage.
  • Develop agentic workflows using RAG and tool-use patterns to automate security remediation and investigation processes.
  • Establish data governance and quality frameworks to support risk management and regulatory compliance across the enterprise.
  • Provide technical leadership by conducting code reviews and mentoring engineers on best practices in software development and cloud architecture.
  • Champion the use of AI-assisted development tools while ensuring high standards for code quality and security.
  • Advocate for secure engineering practices, including prompt injection defenses and least-privilege access for LLM contexts.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or Engineering (or equivalent experience).
  • 2+ years of industry experience, including at least 2 years in SaaS, PaaS, or IaaS software development.
  • Expertise in distributed systems and data engineering for high-performance, high-availability, and fault-tolerant systems.
  • Proficiency in Docker-based development (especially EKS) and configuration management tools like Terraform or Puppet.
  • Experience with data technologies including Apache Spark, Kafka, Hadoop, and SQL/NoSQL databases.
  • Programming proficiency in object-oriented and multi-threaded development using Python, Golang, Java, or Scala.
  • Strong fundamentals in security concepts such as authentication/authorization frameworks, secure transport (TLS), and identity management.
  • Hands-on experience integrating LLMs or ML models into production systems, including RAG pipelines and agentic workflows.

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