Software Engineering LMTS

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$172,500–$260,100 / yr
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $216k
$134k $274k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $160,951–$222,125 — the blue band above. At the midpoint, this role pays about $216k versus about $192k 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 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Software Engineering LMTS

The Software Engineering LMTS joins the Experience Monitoring Cloud team to architect, implement, and operate telemetry agents and instrumentation libraries. This role focuses on building the telemetry stack to provide observability for Salesforce products, specifically handling metrics, logs, traces, and events. You will develop and maintain agents that run on millions of hosts, ensuring high efficiency and reliability across Kubernetes environments like EKS and GKE. Key responsibilities include designing distributed services, managing agent-side anomaly detection, and building instrumentation libraries for LLM services. Required technical skills include proficiency in Go, Java, or Python within Linux environments, along with experience in public cloud platforms like AWS and GCP. You will utilize OpenTelemetry, eBPF, and container orchestration to solve complex data collection and real-time data management problems.

What you'll do

  • Design, develop, and implement critical functionality for telemetry agents and instrumentation libraries.
  • Instrument, collect, transform, and export logs, metrics, traces, and events across Kubernetes and LLM services.
  • Build and operate distributed services that ensure 99.99% reliability in production environments.
  • Manage agent footprint, host impact, and safe rollouts across a large-scale fleet of millions of hosts.
  • Develop scalable and maintainable solutions using Go, Java, or Python in a Linux/UNIX environment.
  • Operate workloads such as DaemonSets or sidecars in production using containers and Kubernetes.
  • Present technical work and project updates to peers, leadership, and broader engineering groups.
  • Write understandable, testable code while applying engineering best practices to all software deliverables.

What we're looking for

  • B.S./M.S. in Computer Science or an equivalent field.
  • 8+ years of software development experience.
  • Experience building highly scalable, available, and real-time data management or data collection services.
  • Deep understanding and experience building services on the public cloud (AWS, GCP, Azure, etc.).
  • Strong experience developing services/software in a Linux/UNIX environment using Go, Java, or Python.
  • Hands-on experience with containers and Kubernetes (EKS/GKE), including operating workloads such as DaemonSets or sidecars in production.
  • Experience building and operating services while ensuring 99.99% reliability in production.
  • Experience with OpenTelemetry, observability signals, or low-level instrumentation like eBPF (preferred).

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