Salesforce

3 weeks ago

Platform Engineer — Cloud Infrastructure (SMTS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Senior Platform Engineer specializing in AI-enabled infrastructure. Design, build, and operate the internal developer platform powering multiple Kubernetes clusters across AWS, Azure, GCP, and OCI. Write core services in Go and Python, design intelligent automation with AI/LLMs, and implement autonomous agents to improve reliability and developer experience. Drive GitOps pipelines and IaC with Pulumi/Terraform and mentor engineers on AI/ML concepts.

Location: Redwood City

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Design, build, and operate platform services and infrastructure automation in Go and Python, embedding AI capabilities directly into the core platform software.
•Architect and implement intelligent, closed-loop automation systems (AIOps) that leverage LLMs and autonomous agents to detect anomalies, perform root-cause analysis, and execute self-healing remediation playbooks.
•Build and maintain Retrieval-Augmented Generation (RAG) applications over internal platform documentation, runbooks, and historical incident data to drastically reduce MTTR.
•Develop custom tools, CLI plugins, and Model Context Protocol (MCP) integrations that connect our cloud infrastructure APIs to agentic coding tools, turning automation into autonomous workflows.
•Maintain and improve standard continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to ensure safe, repeatable delivery of both traditional platform code and AI-driven solutions.

Key Requirements

•5+ years of professional software or platform engineering experience, with a focus on AI solutions
•Strong programming skills in Golang and Python for production-grade backend services
•Hands-on experience with Kubernetes and multi-cloud environments (AWS, Azure, GCP, OCI)
•Familiarity with GitOps and infrastructure-as-code tools (Flux/Argo CD, Pulumi, Terraform)
•Experience with AI/ML concepts (LLMs, embeddings, vector databases) and agent-based automation concepts

Experience:5+ yearsPlatform engineeringAIDevOpsCloud

Education:Bachelor's

Skills:GolangPythonKubernetesGitOpsFluxArgo CDPulumiTerraformLLMsEmbeddingsVector databasesPrompt engineeringAgentic designClaude CodeAIML

Tech Stack:GoPythonKubernetesAWSAzureGCPOCIFluxArgo CDPulumiTerraformClaude Code

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Platform Engineer — Cloud Infrastructure (SMTS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Redwood City

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Manager level

Key Responsibilities

•Design, build, and operate platform services and infrastructure automation in Go and Python, embedding AI capabilities directly into the core platform software.
•Architect and implement intelligent, closed-loop automation systems (AIOps) that leverage LLMs and autonomous agents to detect anomalies, perform root-cause analysis, and execute self-healing remediation playbooks.
•Build and maintain Retrieval-Augmented Generation (RAG) applications over internal platform documentation, runbooks, and historical incident data to drastically reduce MTTR.
•Develop custom tools, CLI plugins, and Model Context Protocol (MCP) integrations that connect our cloud infrastructure APIs to agentic coding tools, turning automation into autonomous workflows.
•Maintain and improve standard continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to ensure safe, repeatable delivery of both traditional platform code and AI-driven solutions.

Key Requirements

•5+ years of professional software or platform engineering experience, with a focus on AI solutions
•Strong programming skills in Golang and Python for production-grade backend services
•Hands-on experience with Kubernetes and multi-cloud environments (AWS, Azure, GCP, OCI)
•Familiarity with GitOps and infrastructure-as-code tools (Flux/Argo CD, Pulumi, Terraform)
•Experience with AI/ML concepts (LLMs, embeddings, vector databases) and agent-based automation concepts

Experience:5+ yearsPlatform engineeringAIDevOpsCloud

Education:Bachelor's

Skills:GolangPythonKubernetesGitOpsFluxArgo CDPulumiTerraformLLMsEmbeddingsVector databasesPrompt engineeringAgentic designClaude CodeAIML

Tech Stack:GoPythonKubernetesAWSAzureGCPOCIFluxArgo CDPulumiTerraformClaude Code

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor