Software Engineering MTS

Salesforce

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$117,200–$176,700 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $147k
$107k most similar roles pay here $214k

This role pays less than 60% of similar roles. Most pay $135,393–$203,200 — the shaded band above. At the midpoint, this role pays about $147k versus about $169k 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 121 open roles on FindRole.

Listed pay typically runs $167,600–$260,100 across 106 roles with salary data.

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At a glance

TL;DR · Software Engineering MTS

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As a Member of Technical Staff in the Platform Engineering team at Salesforce, you will design and maintain core platform services for Kubernetes clusters across multiple cloud providers including AWS, Azure, GCP, and OCI using Go and Python. Your daily tasks include contributing to continuous deployment pipelines with GitOps tools like Flux and Argo CD, participating in fleet initiatives such as cluster lifecycle management, and collaborating with SREs and product engineering teams to enhance platform capabilities. You will also develop an agentic mindset by integrating AI into your workflows for automation and operational efficiency, while continuously improving the reliability and scalability of the internal developer platform. Ideal candidates have 1+ years of cloud infrastructure experience, hands-on Kubernetes knowledge, proficiency in Go or Python, familiarity with GitOps and IaC tools, and a growing comfort level using AI to augment their engineering practices.

Skills

Kubernetes Go Python AWS Azure GCP OCI Flux Argo CD Pulumi Terraform GitOps CI/CD AI Claude Code MVP agentic mindset policy-as-code Kyverno OPA/Gatekeeper supply-chain security cosign SBOM internal developer platforms platform APIs developer experience tooling open-source cloud-native projects

What you'll do

  • Build and maintain Kubernetes management services in Go and Python across multi-cloud environments.
  • Contribute to GitOps continuous deployment pipelines using Flux, Argo CD, Pulumi, or Terraform.
  • Automate cluster lifecycle management and improve observability with guidance from senior engineers.
  • Develop self-service platform capabilities that reduce operational toil for SRE and security teams.
  • Use AI tools like Claude Code to enhance daily engineering workflows and multiply output efficiency.
  • Propose and implement agent-driven automations to reduce repetitive manual operations in the cloud.
  • Participate in on-call rotations, improving operational posture through automation and post-incident analysis.

What we're looking for

  • 1+ years of professional experience in cloud infrastructure engineering and continuous deployment.
  • Hands-on Kubernetes experience with deploying, troubleshooting, and automating workloads or clusters.
  • Proficient programming skills in Golang and/or Python for building services, CLIs, or automation tooling.
  • Multi-cloud exposure primarily on AWS, including core compute, networking, IAM, and managed Kubernetes services.
  • Familiarity with GitOps using Flux or Argo CD and infrastructure-as-code frameworks like Pulumi or Terraform.
  • Demonstrated use of AI tools in daily engineering work to amplify output through agentic coding practices.

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