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Member of Technical Staff (Software Engineering)

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Onsite

Member of Technical Staff (Software Engineering)

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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