Drimva

Salesforce

Senior/Lead Software Engineer, Site Reliability (Agentforce Operations)

$148K–$345K

California - San Francisco +2 · Office Tech-Flexible · Senior · Full-time · Posted Oct 2, 2026

Location
California - San Francisco
Washington - Seattle
New York - New York
Experience
5+ years for Super Agent; no specific number stated for Missionforce/Operations.
Education
Missionforce/Operations: Advanced Degree in Computer Science or equivalent practical experience (preferred). Super Agent: B.S. in Computer Science (M.S. preferred).

About the job

Senior site reliability engineer improving the scalability, resilience, performance, security, and deployment of Salesforce Agentforce Operations and Missionforce systems.

What you'll do

  • Diagnose and address distributed-system and infrastructure issues, including performance, data-model, and reliability improvements.
  • Build infrastructure automation, deployment and release systems, and tools for operating customer environments securely and reliably.
  • Partner with engineering teams on architecture and reliability strategy; mentor peers and improve engineering practices.

What they ask for

  • For the Super Agent role: 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and infrastructure.
  • For the Missionforce/Operations role: strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
  • Production-level coding ability in Golang, TypeScript, or Python for the Missionforce/Operations role; mastery of Golang, GraphQL, and PSQL for Super Agent.
  • Deep distributed-systems expertise; Super Agent candidates must have repeatedly owned foundational system work in complex distributed systems.

Nice to have

  • Advanced degree in Computer Science or equivalent practical experience; Super Agent lists B.S. in Computer Science (M.S. preferred).
  • Experience with regulated or public-sector environments, Temporal, Istio, Typesense, Jenkins, Spinnaker, supply chain/logistics/manufacturing, or the Salesforce platform.

Pay

$148,500 - $313,700 annually (base salary); $178,900 - $344,700 annually (base salary)

Tools

Kubernetes, Terraform/OpenTofu, AWS/GCP/Azure, Golang, TypeScript, Python, GraphQL, PSQL

AI focus

Supports reliable, cost-effective deployment and scaling of AI/ML infrastructure and features; uses modern AI development tools to automate operational work and accelerate infrastructure delivery.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)