Production Support Engineering Lmts

Salesforce

Base: $172,500 - $260,100 annually; in select citi...
Not specified (likely hybrid or flexible based on company culture).
5+ years sre or production engineering experience
Kubernetes and terraform/opentofu proficiency
Golang typescript or python coding mastery
Salesforce is seeking a Production Support Engineer (LMTS) to join a dynamic, agile team focused on scaling their AI-powered supply chain platform. The ideal candidate will have extensive experience in site reliability engineering, backend engineering, and a strong proficiency in cloud technologies, with a collaborative mindset and a passion for innovation

Job Summary

  • This role offers the opportunity to lead the transition of a high-growth product from startup-speed architectures to global-scale enterprise solutions within Salesforce's Agentforce ecosystem.
  • The engineer will own the reliability roadmap, focusing on production excellence, performance tuning, and infrastructure automation while embedding directly into the product organization.
  • Candidates are expected to leverage AI tools like Claude Code to automate operational tasks and contribute to building a shared system context for reliable AI operations.

Matching Summary

Match Score: 85

Salesforce is seeking a Production Support Engineer (LMTS) to join a dynamic, agile team focused on scaling their AI-powered supply chain platform. The ideal candidate will have extensive experience in site reliability engineering, backend engineering, and a strong proficiency in cloud technologies, with a collaborative mindset and a passion for innovation.

Salary

Base: $172,500 - $260,100 annually; In select cities (SF/NYC): $207,800 - $285,800 annually; Includes bonus, equity, and benefits

Skills & Requirements

Must-have

  • 5+ years SRE or Production Engineering experience
  • Kubernetes and Terraform/OpenTofu proficiency
  • Golang TypeScript or Python coding mastery
  • Distributed systems debugging expertise
  • AI-first workflow and prompt engineering skills

Nice-to-have

  • Experience with Temporal for workflow reliability
  • Supply chain or logistics domain knowledge
  • Salesforce Hyperforce or Data Cloud familiarity
  • M.S. in Computer Science degree
  • Low-ego collaborative leadership style

Key Requirements

  • 5+ years of experience in SRE, Production Engineering, or Backend Engineering
  • Proven track record of scaling products through high-growth phases
  • Deep understanding of distributed systems and microservices
  • Advanced prompt engineering and AI tool integration skills

Work Rights

Not specified

Tailored Resume

Cover Letter