Software Engineering MTS

Salesforce

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Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Employment
Full-time
Posted
74 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $170k
$121k $214k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $134,450–$204,762.

Based on 240 similar postings.

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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 · Software Engineering MTS

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The Software Engineering MTS joins a team focused on securing the public cloud at the network layer. You will architect and implement distributed systems for network-level security controls, including policy management, ACL enforcement, distributed firewalls, and DDoS protection. Day-to-day responsibilities involve developing microservices for cloud infrastructure, researching networking security solutions for cross-region flows, and operating platforms in a full DevOps model. You will build production-grade software using an AI-first approach, utilizing tools like Claude Code, GitHub Copilot, Codex, and Cursor. The role requires proficiency in Go, Java, C++, or Python, along with a technical degree. You will solve complex problems regarding microsegmentation and access control across multi-cloud substrates, ensuring high-availability and performance for distributed systems and container networking.

Skills

Go Java C++ Python Distributed Systems Microservices Networking Cloud Security DevOps TCP/UDP DNS HTTP/HTTPS TLS/SSL SAML OAuth Cilium Calico AWS Azure GCP Prompt Engineering GitHub Copilot Claude Code

What you'll do

  • Architect and implement distributed systems for network-level security controls like policy management and distributed firewalls.
  • Develop microservices to support network security platforms at cloud infrastructure and distributed platform levels.
  • Research and implement networking security solutions for intra and cross-region network flows.
  • Operate security platforms in a full DevOps model by building, testing, monitoring, and maintaining the software.
  • Build and ship production-grade software using modern engineering practices and AI-driven development tools.
  • Design and orchestrate complex systems where AI agents integrate into human workflows to drive efficiency.
  • Maintain a shared system context repository of designs, constraints, and standards to enable accurate AI operation.
  • Critically evaluate 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 and experience using AI tools in development workflows.
  • Advanced prompt engineering skills to write precise, structured prompts and cultivate system context.
  • Experience with network security platforms, cloud network architecture, or cloud security services (preferred).
  • Strong fundamentals in networking protocols, auth frameworks, and DevOps orientation (preferred).

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