Staff Software Engineer, Cybersecurity Data Platform SaaS

Salesforce

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Time Off Programs
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Support
Paid Parental Leave
Life Insurance
Disability Insurance
401(k)
Employee Stock Purchasing Program

Job summary

Salesforce is seeking a technical leader to design and implement a scalable Cybersecurity Data Platform in San Francisco. The role focuses on data ingestion, processing, and storage, and includes evolving the platform into a multi-tenant SaaS product while mentoring peers.

You will work with Spark, AWS S3, APIs, and distributed systems to deliver secure, cloud-native solutions, guided by data governance and DevOps practices. This is a high-impact, collaborative role in a fast-paced environment.

Qualifications

  • 5+ years of software development experience in SaaS/PaaS environments with mastery of Apache Spark and AWS S3.
  • A degree in Computer Science or Engineering and expertise in distributed systems and API frameworks are essential.

Responsibilities

  • Lead the technical design and implementation of a scalable Cybersecurity Data Platform.
  • Drive evolution of the platform into a multi-tenant SaaS product.
  • Provide technical guidance to peers and across teams.

Skills

Apache Spark
AWS S3
Distributed Systems
SaaS Architecture
API Design
Data Ingestion
Cybersecurity
Cloud-Native Architecture
Data Governance
DevOps
OpenAPI
Agile Methodology

Education

Bachelors in Computer Science or Engineering

Tools

OpenAPI Spec
API Frameworks

Job description

Salesforce is seeking a technical leader to design and implement a scalable Cybersecurity Data Platform in San Francisco. The role focuses on data ingestion, processing, and storage, and includes evolving the platform into a multi-tenant SaaS product while mentoring peers.

You will work with Spark, AWS S3, APIs, and distributed systems to deliver secure, cloud-native solutions, guided by data governance and DevOps practices. This is a high-impact, collaborative role in a fast-paced environment.

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