Software Engineering MTS

Salesforce

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$117,200–$176,200 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $147k
$106k most similar roles pay here $222k

This role pays less than 67% of similar roles. Most pay $142,378–$199,475 — the shaded band above. At the midpoint, this role pays about $147k versus about $171k 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 88 open roles on FindRole.

Listed pay typically runs $171,850–$260,100 across 76 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Software Engineering MTS

As a Senior Software Engineer on the FEDX and Orchestration Service team at Salesforce, you will play a crucial role in enhancing global service delivery through Hyperforce, a pivotal infrastructure platform. Your day-to-day responsibilities include designing, developing, and operating resilient distributed systems across thousands of compute nodes, using technologies like Kubernetes, Docker, and Terraform to automate cloud infrastructure requests. You will contribute to open-source projects such as Spinnaker and Zookeeper while ensuring system availability and performance through continuous monitoring and telemetry analysis. The role requires expertise in Java, Golang, Python, or Ruby, experience with relational databases, and a strong background in Agile development and Test Driven Development. This position involves driving innovations that improve service reliability and participating in on-call rotations to address complex issues in real-time.

What you'll do

  • Design and develop resilient distributed systems across multiple data centers.
  • Automate cloud infrastructure using Terraform on public clouds like AWS or GCP.
  • Write microservices using Kubernetes and Docker for scalable enterprise applications.
  • Resolve complex technical issues to enhance system availability and performance.
  • Develop test strategies and automation frameworks to increase code coverage.

What we're looking for

  • 2+ years of software development experience with expertise in distributed systems design
  • Strong AI development skills to automate SDLC processes and increase throughput
  • Deep knowledge of Java, Golang, Python, or Ruby programming languages
  • Experience with Kubernetes for building scalable APIs and microservices
  • Proficiency in Terraform or similar infrastructure as code language for automation
  • Ownership and operation of multiple instances of critical services required
  • Use of telemetry and metrics to drive operational excellence and improve performance

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