> Markdown version of [/jobs/ext/2278891-software-engineering-mts](https://www.wearedevelopers.com/jobs/ext/2278891-software-engineering-mts). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering MTS - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $117,200.0 - $176,700.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Software as a Service, Cloud Computing, Cloud Computing Security, Code Review, Computer Networks, Cursor (Graphical User Interface Elements), Dynamic Host Configuration Protocol, DDoS Mitigation, DevOps, Distributed Systems, Domain Name System (DNS), Hypertext Transfer Protocols (HTTP), Infrastructure as a Service (IaaS), Identity and Access Management, OSI Models, Python (Programming Language), Network Security, Network Protocols, OAuth, Platform as a Service (PAAS), Public Key Infrastructure, Software Tools, Salesforce.Com, Security Assertion Markup Language (SAML), Single Sign-On, Software Engineering, Transmission Control Protocol (TCP), Cloud-native Network Functions (CNF), Transport Layer Security, Cloud Platform System, GitHub Copilot, Istio, Prompt Engineering, Firewalls (Computer Science), Ddos, Golang, Microservices - **Published:** August 28, 2026 - **Apply:** https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/California---San-Francisco/Software-Engineering-MTS_JR353585 ## About the Role 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., * 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 ## Description * 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. ## Related Videos - [WeAreDevelopers LIVE - Chrome for Sale? 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