Software Engineering SMTS

Salesforce

Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k
This role $189k
$100k most similar roles pay here $277k

This role pays more than 73% of similar roles. Most pay $137,171–$197,950 — the shaded band above. At the midpoint, this role pays about $189k versus about $168k 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 125 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 105 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Software Engineering SMTS

Role Posting Log in to save

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 critical security data flows. This role involves hands-on development using Apache Spark, AWS S3, and streaming/batch pipelines, as well as building self-service tools and APIs. The candidate will collaborate with cross-functional teams to ensure seamless integration and drive the platform’s evolution into a multi-tenant SaaS product. Key responsibilities include technical leadership, operational excellence, mentorship, and innovation in AI/ML for advanced risk assessment. Ideal candidates have over 10 years of experience in large-scale data platforms, expertise in distributed systems, and strong communication skills to influence architectural decisions across teams.

Skills

Apache_Spark AWS_S3 streaming/batch_pipelines cloud-native_architectures Docker Kubernetes Terraform CI/CD Python Java Go PostgreSQL Redis OpenAPI Prometheus Grafana Data_Mesh DevOps MVC

What you'll do

  • Lead technical design and implementation of a scalable Security Data Platform using Apache Spark and AWS S3.
  • Drive platform evolution into a multi-tenant SaaS product with robust data ingestion and processing capabilities.
  • Design self-service onboarding tools for data producers and high-performance APIs for data consumers.
  • Conduct deep-dive performance tuning and cost optimization across all platform components and cloud infrastructure.
  • Mentor junior engineers through rigorous code reviews and by setting engineering standards and best practices.

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, application integrations, identity systems, and data governance.
  • Track record of owning complex feature lifecycles from design to maintenance (DevOps mindset).
  • Experience delivering self-service data solutions and managing high-volume pipelines.
  • Expert knowledge of systems patterns and API frameworks.
  • M.Sc/M.Eng or B.A/B.Sc in Computer Science/Engineering or equivalent experience.

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