Software Engineering SMTS

Salesforce

Remote

Quick summary

Work type
Remote
Location
Bellevue, WA
Salary
$117,200–$260,100 / yr
Posted
6 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k
This role $189k
$100k most similar roles pay here $277k

This role pays more than 73% of similar roles. Most pay $137,500–$191,756 — the shaded band above. At the midpoint, this role pays about $189k versus about $165k 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 132 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 116 roles with salary data.

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At a glance

TL;DR · Software Engineering SMTS

Salesforce seeks a Senior Member of Technical Staff to lead and contribute to its next-generation Cybersecurity Data Platform, focusing on designing and implementing scalable, high-quality systems for data ingestion, processing, storage, and analytics integration. This role involves hands-on development using Apache Spark, AWS S3, and streaming/batch pipelines, alongside technical guidance and mentorship within a cross-functional team. The ideal candidate has over 10 years of experience in large-scale data platforms, expertise in distributed systems, and a strong background in delivering self-service data solutions. They should be proficient in cloud-native architectures, DevOps practices, and capable of influencing architectural decisions across teams to ensure seamless integration and operational excellence.

What you'll do

  • Lead the technical design and implementation of a scalable Security Data Platform.
  • Drive the evolution of the platform into a multi-tenant SaaS product.
  • Develop self-service onboarding tools for data producers and high-performance APIs.
  • Resolve complex structural inconsistencies in data ingestion patterns with stakeholders.
  • Define and implement robust monitoring, alerting, and automated testing frameworks.
  • Conduct rigorous code reviews and mentor junior/mid-level engineers to elevate engineering standards.

What we're looking for

  • 10+ years of software development experience in SaaS/PaaS/IaaS environments.
  • Extensive hands-on experience with Apache Spark, AWS S3, and cloud-native architectures.
  • Proven expertise in distributed systems and data governance (e.g., data mesh).
  • Track record of owning complex feature lifecycles from design to maintenance.
  • Experience delivering self-service data solutions and managing high-volume pipelines.
  • Expert knowledge of system patterns and API frameworks like OpenAPI.
  • M.Sc/M.Eng or B.A/B.Sc in Computer Science/Engineering or equivalent experience.

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