Software Engineering MTS

Job Description

The Experience:

We're building a new internal cloud platform for network security controls and management. Our mission: develop highly-available, performant distributed systems that provide security at the network level across Salesforce's public cloud — microsegmentation, network policy distribution, access control, distributed firewalls, and DDoS prevention. Our scope spans VMs and containers across cloud compute substrates.

We're a team focused on securing Salesforce's public cloud at the network layer. We design and operate platforms that enforce security policy across a multi-cloud, multi-substrate environment. If you're passionate about distributed systems, networking, and building security infrastructure at scale, reach out!

What You'll Actually Be Doing:

• Architect and implement distributed systems for network-level security controls — policy management, ACL enforcement, distributed firewalls, and DDoS/network protection
• Develop microservices to support our 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 — you build it, you run it
• Elevate engineering excellence through code reviews and mentorship
• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.

You're Our Person If You Have:

• 2 years in SaaS, PaaS, or IaaS software development
• 2 years in a high-availability 24/7 environment (cloud platforms a plus)
• A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
• Proficiency in Go, Java, C++, or Python
• A related technical degree is required.

Even Better If You Have:

• Network security platforms — segmentation, ACLs, DDoS protection
• Cloud network architecture (VPCs, security groups, NACLs, transit gateways, PrivateLink)
• Cloud security services (AWS Shield, WAF, Azure Firewall, GCP Cloud Armor)
• Container networking and service mesh (Cilium, Calico)
• Strong fundamentals in networking protocols (TCP/UDP, DNS, DHCP, HTTP/HTTPS) and the OSI model
• Auth frameworks (SSO, SAML, OAuth), secure transport (TLS/SSL), and identity management (certs, PKI)
• DevOps orientation — you test, monitor, deploy, and maintain what you build