S
Salesforce
Member of Technical Staff (Software Engineering)
Skills
Google Cloud PlatformPythonGolangJavaMicroservicesAIAWSGitHubWorkdayAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$117,200 – $194,200 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
22 August 2026
What they need
- 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
- 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
Benefits
- Medical Care
- Life Insurance
- Retirement Savings
- Employee Assistance Programs
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
- Proficiency in Go, Java, C++, or Python
- 2 years in SaaS, PaaS, or IaaS software development
- A related technical degree is required
- 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
- 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
- 2 years in a high-availability 24/7 environment (cloud platforms a plus)
- Network security platforms — segmentation, ACLs, DDoS protection
- Cloud network architecture (VPCs, security groups, NACLs, transit gateways, PrivateLink)
- Container networking and service mesh (Cilium, Calico)
- Cloud security services (AWS Shield, WAF, Azure Firewall, GCP Cloud Armor)
- Strong fundamentals in networking protocols (TCP/UDP, DNS, DHCP, HTTP/HTTPS) and the OSI model
- DevOps orientation — you test, monitor, deploy, and maintain what you build
- Auth frameworks (SSO, SAML, OAuth), secure transport (TLS/SSL), and identity management (certs, PKI)
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