Senior Lead Software Engineer, Site Reliability

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CASeattle, WANew York, NY
Salary
$148,500–$313,700 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $231k
$129k most similar roles pay here $334k

This role pays more than 83% of similar roles. Most pay $155,000–$220,550 — the shaded band above. At the midpoint, this role pays about $231k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 163 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 119 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Site Reliability

As a Senior/Lead Software Engineer, Site Reliability (Agentforce Operations), you will join the Agentforce Operations and Missionforce teams to shape infrastructure, process automation, and engineering practices for mission-critical systems. You will design and ship scalable infrastructure, manage cost-efficient platform capabilities, and develop internal tools for testing and releasing products in secure, public-cloud environments. Your daily work involves optimizing data models, streamlining asynchronous operations, and managing AI/ML infrastructure to ensure high availability. The role requires proficiency in Kubernetes, Terraform or OpenTofu, and cloud platforms like AWS, GCP, or Azure. You will write production-level code in Golang, TypeScript, or Python while utilizing GraphQL and PSQL. This position addresses the challenge of modernizing supply chain management by building an AI-powered platform to automate complex business processes and ensure reliable performance across distributed backend systems.

What you'll do

  • Manage the reliability roadmap to evolve startup architectures into highly available, globally scalable systems.
  • Design and implement infrastructure as code to create robust, "push-button" deployment processes.
  • Support the scaling and deployment of AI/ML infrastructure to ensure cost-effective and reliable performance.
  • Build internal tools and automated systems for testing, releasing, and diagnosing products with minimal manual intervention.
  • Strengthen identity, access controls, networking, and workload isolation to ensure security by default.
  • Resolve complex architectural problems including data model improvements, performance tuning, and state management.
  • Mentor engineers on backend architecture and system design while establishing high engineering quality standards.
  • Utilize AI tools to automate routine operational tasks and accelerate infrastructure delivery.

What we're looking for

  • Proficiency in Kubernetes, Terraform/OpenTofu, and AWS, GCP, or Azure is required.
  • Ability to write and review production-level code in Golang, TypeScript, or Python.
  • Deep understanding of distributed systems, including microservices, databases, and AI agents.
  • 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a focus on infrastructure (Super Agent).
  • Mastery of Golang, GraphQL, and PSQL with experience in RDS, Redis/Elasticache, and EKS (Super Agent).
  • Advanced degree in Computer Science or equivalent practical experience (preferred).
  • Experience building products for regulated industries or high-security environments like DoD IL6 (preferred).
  • Familiarity with Temporal, Istio, Typesense, Jenkins, Spinnaker, or the Salesforce platform (preferred).

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