Senior Platform Software Engineer

Salesforce

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WASan Francisco, CA
Employment
Full-time
Posted
78 days ago
Freshness
Confirmed live yesterday
Closes
Feb 22, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $175k
$91k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $151,000–$198,900.

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 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Senior Platform Software Engineer

The Senior Platform Software Engineer joins the team to build and scale the next generation of infrastructure management service and operation solutions. This role involves delivering multi-substrate infrastructure automation tools, frameworks, workflows, and validation platforms to help scale infrastructure. You will design advanced, scalable automation to detect, prioritize, and remediate vulnerabilities, turning manual processes into self-operating systems. Key responsibilities include leveraging AI and Machine Learning models for intelligent data analysis, anomaly detection, and predictive security. You will integrate security tooling like Tenable and CrowdStrike using APIs. Required skills include proficiency in Python, Go, and cloud systems like AWS, GCP, or Azure. You must also possess experience with Test-Driven Development, code reviews, and CI/CD pipelines to solve complex large-scale cloud infrastructure and vulnerability management problems.

What you'll do

  • Develop multi-substrate infrastructure automation tools, frameworks, and workflows to scale infrastructure.
  • Build scalable automation to detect, prioritize, and remediate security vulnerabilities.
  • Apply AI and machine learning models for intelligent data analysis and anomaly detection.
  • Integrate and orchestrate security platforms like Tenable and CrowdStrike for autonomous operations.
  • Design and deliver validation platforms to ensure infrastructure reliability.
  • Implement automated systems to replace manual processes across the infrastructure management service.
  • Maintain and manage large-scale cloud infrastructure using AWS, GCP, or Azure.

What we're looking for

  • You must have extensive knowledge of Artificial Intelligence (AI) and Machine Learning (ML).
  • You must have experience developing automated computer programs.
  • You must be proficient in programming languages such as Python, Go, or similar.
  • You must be able to integrate different computer tools using APIs.
  • You must have knowledge of cloud computing systems such as AWS, GCP, or Azure.
  • You must know Test-Driven Development, code review, and all phases of the SDLC and CI/CD pipelines.
  • Experience in finding and fixing computer vulnerabilities (preferred).
  • Knowledge of various types of computer security tools (preferred).

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