Software Engineering MTS Security and Network Defense

Salesforce

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Quick summary

Work type: On-site
Location: Bellevue, WA
Salary: $117,200–$176,700 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k

This role $147k

$105k most similar roles pay here $232k

This role pays less than 78% of similar roles. Most pay $151,475–$217,500 — the shaded band above. At the midpoint, this role pays about $147k versus about $184k 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 107 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 97 roles with salary data.

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At a glance

TL;DR · Software Engineering MTS Security and Network Defense

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As a Software Engineering, MTS, Security and Network Defense, you will join the Email Security & Network Defense team to build and maintain security architecture protecting the enterprise against evolving threats. You will develop production-grade software using an automation-first philosophy, focusing on infrastructure-as-code, configuration-as-code, and CI/CD pipelines for policy governance. Your daily work involves managing application control policies, secure internet access solutions like SASE architectures, and TLS inspection. The role requires proficiency in Golang, Python, or Java, along with experience in AWS, Kubernetes, and microservices. You will utilize an AI-first engineering workflow, employing tools like GitHub Copilot or Claude Code to design and govern systems at scale. This position addresses the critical challenge of securing email, network edges, and emerging AI workflows while ensuring robust security controls across global environments.

What does a Software Engineering earn?

Median $177250 from 33 postings across 7 companies.

See salary data

Skills

Python Golang Java Bash AWS Kubernetes Terraform Ansible CI/CD Microservices Infrastructure-as-Code SASE LLM Prompt Engineering GitHub Copilot Claude Code Cursor DevSecOps

What you'll do

Develop production-grade security solutions using modern engineering practices and AI-driven development workflows.
Implement Infrastructure-as-Code (IaC) to automate the provisioning and management of global security systems.
Manage Configuration-as-Code for policy governance through CI/CD pipelines to ensure auditable deployments.
Maintain application control policies, secure internet access solutions, and SASE architectures.
Design and orchestrate workflows where AI agents are integrated into core security operations.
Build and maintain a shared system context repository to enable reliable AI performance in security tasks.
Evaluate code for correctness, quality, and security while maintaining documentation for security processes.

What we're looking for

You must have 3+ years of experience working in a large-scale, enterprise security environment.
You must be able to build software using languages such as Golang, Python, Java, or similar.
You must have experience automating infrastructure or operational workflows using scripting languages and tools like Terraform or Ansible.
You must be proficient with container-based development and CI/CD workflows.
You must understand AWS cloud infrastructure, including containers, Kubernetes, and microservices architecture.
You must demonstrate an AI-first approach to engineering, including experience with AI tools and advanced prompt engineering skills.
You must have a proven track record of developing and maintaining documentation for security processes and procedures.
You must have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience automating workflows in DevSecOps is preferred.
Experience with application control, secure browser, Socket firewall, Proofpoint, or SASE platforms is preferred.
Experience securing AI and Large Language Model (LLM) workflows is preferred.
Holding a CISSP, CCSP, CISM, Security+, or similar security or network certification is preferred.