Software Engineering, MTS, Security and Network Defense

The Email Security & Network Defense (ESND) team protects the enterprise by engineering adaptive defense systems across email, network edge, secure browsing, application control, and emerging AI workflows. As a Software Engineering, MTS on this team, you build and maintain the security architecture that keeps Salesforce resilient against evolving threats, using an automation-first philosophy and Agile execution to deploy modern defenses without slowing business momentum. You use Artificial Intelligence (AI) as a core part of your engineering workflow, working alongside AI agents to design, build, and govern secure systems at scale.

Develop security solutions leveraging best development practices and modern AI tools and approaches.

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow, pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

Contribute to Infrastructure-as-Code automation efforts to provision and manage security systems, ensuring version-controlled and repeatable deployments across global environments.

Develop and maintain Configuration-as-Code for policy governance for security configurations, using Continuous Integration/Continuous Delivery (CI/CD) pipelines to validate and deploy changes, guaranteeing that security tooling is auditable and peer-reviewed.

Support and maintain application control policies, tuning, and ongoing management to ensure effective enforcement across the organization.

Support and maintain secure internet access solutions, including Secure Access Service Edge (SASE) architectures, TLS inspection (TLSi), and secure browser technologies.

Design and orchestrate systems where AI agents integrate seamlessly into security workflows, driving efficiency and innovation at scale.

Contribute to building and maintaining shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably, and critically evaluate code (human- or AI-generated) for correctness, quality, security, and performance.