Software Engineering MTS

Salesforce

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WAMcLean, VASan Francisco, CA
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $170k
$121k $214k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $134,450–$204,762.

Based on 240 similar postings.

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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 MTS

The Software Engineering MTS joins the Network Visibility and Telemetry team within the Infrastructure Strategy Datacenter Operations organization. In this role, you will build and ship production-grade software to automate systems services across storage, network, and server infrastructure. You will enable the collection of infrastructure telemetry, ensure alerts are generated for necessary actions, and design complex systems where AI agents integrate into human workflows. Key responsibilities include evaluating code for security and performance and maintaining shared system context. Required skills include experience with distributed services in Clojure, Java, JavaScript, or Python, as well as Jenkins, REST APIs, and Linux. You must demonstrate an AI-first approach using tools like GitHub Copilot or Cursor, alongside proficiency in configuration automation tools like Ansible, Puppet, or Chef.

What you'll do

  • Build and ship production-grade software using modern engineering practices and AI development tools.
  • Automate systems services across storage, network, and server infrastructure.
  • Design and orchestrate complex systems where AI agents integrate into human workflows.
  • Evaluate code for correctness, quality, security, and performance.
  • Maintain a shared system context repository of designs, constraints, and standards for AI reliability.
  • Enable the collection of infrastructure telemetry and ensure alerts are generated for necessary actions.
  • Participate in an on-call rotation to support infrastructure systems.

What we're looking for

  • A related technical degree is required.
  • At least 4 years of experience supporting a codebase for distributed services in modern programming languages like Clojure, Java, JavaScript, or Python.
  • Experience with automation of systems services and processes.
  • Experience in publishing and consuming REST APIs.
  • CI/CD experience with Jenkins.
  • Knowledge of Linux (RedHat) including configuration, packages, services, daemons, shells, and troubleshooting.
  • Experience with configuration automation tools such as Ansible, Puppet, and/or Chef.
  • Advanced prompt engineering skills and experience using AI tools in development workflows.
  • Experience with monitoring and alerting of network or storage infrastructure in a high-availability datacenter environment (preferred).
  • Experience with container orchestration systems like Docker and Kubernetes (preferred).
  • Experience with Terraform, Helm, and Spinnaker (preferred).
  • Strong Network Engineering skills including SNMP, BGP, OSPF, and LAN switching technologies (preferred).
  • Experience with application databases and document stores like Elasticsearch or Cassandra (preferred).

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