Software Engineering MTS

Salesforce

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$117,200–$176,700 / yr
Posted
28 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 $231k

This role pays less than 75% of similar roles. Most pay $147,925–$214,702 — 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

The Software Engineering MTS joins a team building an internal cloud platform for network security controls and management. This role involves architecting and implementing distributed systems for network-level security, including policy management, ACL enforcement, distributed firewalls, and DDoS protection across multi-cloud environments. The engineer will develop microservices to support these platforms at infrastructure levels while operating them in a full DevOps model. Key responsibilities include researching networking security solutions for intra and cross-region flows and maintaining shared system context for AI integration. Candidates should possess proficiency in Go, Java, C++, or Python, along with experience in high-availability environments. The role requires an AI-first approach to engineering, utilizing tools like GitHub Copilot or Claude Code. Core technical domains include network security platforms, cloud architecture, container networking, and fundamental protocols such as TCP/UDP, DNS, and HTTP/HTTPS.

What you'll do

  • Architect and implement distributed systems for network-level security controls like policy management and DDoS protection.
  • Develop microservices to support network security platforms across cloud infrastructure and distributed environments.
  • Research and implement networking security solutions for intra and cross-region network flows.
  • Operate security platforms using a full DevOps model where you build, test, monitor, and maintain the systems.
  • Integrate AI agents into human workflows to drive efficiency and innovation at scale.
  • Maintain shared system context repositories to ensure AI tools operate accurately and reliably.
  • Evaluate both human and AI-generated code for correctness, security, and performance.

What we're looking for

  • A related technical degree is required.
  • 2 years of experience in SaaS, PaaS, or IaaS software development.
  • 2 years of experience in a high-availability 24/7 environment.
  • Proficiency in Go, Java, C++, or Python.
  • Demonstrated AI-first approach to engineering using tools like Claude Code, GitHub Copilot, Codex, or Cursor.
  • Advanced prompt engineering skills and the ability to cultivate system context for reliable AI outputs.
  • Experience with network security platforms, cloud network architecture, and container networking (preferred).
  • Knowledge of networking protocols, authentication frameworks, and DevOps practices (preferred).

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