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Cloud Infrastructure Engineer

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: 100 Salesforce, Inc.
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software, AWS
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Software Engineer (MTS)

Platform Engineer role in the Cloud Infrastructure organization, part of the Platform Engineering team that designs, builds, and operates the internal developer platform powering Kubernetes clusters across AWS, Azure, GCP, and OCI.

Overview

Build and operate core platform services in Go and Python, contribute to Git Ops and continuous deployment pipelines, learn to operate Kubernetes at scale, and become an AI amplifier using agentic coding assistants.

Responsibilities
  • Build and maintain platform services and automation in Go and Python that help manage Kubernetes clusters across AWS, Azure, GCP, and OCI.
  • Contribute to continuous deployment pipelines using Git Ops tooling (Flux, Argo CD) and infrastructure‑as‑code frameworks (Pulumi, Terraform) to enable safe, repeatable releases.
  • Take part in fleet initiatives such as cluster lifecycle automation, upgrades, policy enforcement, and observability improvements, with guidance from senior engineers.
  • Partner with SRE, security, and product engineering teams to understand their needs and help deliver self‑service platform capabilities that reduce toil.
  • Be an AI amplifier: use AI tooling in everyday engineering workflows, enforce agentic coding assistants for development, code review, automation, and operational runbooks.
  • Develop an agentic mindset, spot repetitive operational work, and propose agent‑driven or AI‑augmented automations that reduce manual effort.
  • Participate in design reviews and code reviews, write clear technical documentation, and grow platform and cloud‑native expertise.
  • Join on‑call rotations and help improve the operational posture of the platform through automation and post‑incident learning.
Qualifications
  • 2–4 years of professional experience in cloud infrastructure engineering and continuous deployment.
  • Hands‑on Kubernetes experience – deploying, troubleshooting, and automating workloads or clusters.
  • Good programming skills in Golang and/or Python, with experience building services, CLIs, or automation tooling.
  • Experience with multi‑cloud exposure, primarily AWS, with a working understanding of core compute, networking, IAM, and managed Kubernetes services.
  • Familiarity with Git Ops using Flux or Argo CD, and infrastructure‑as‑code with Pulumi (or comparable tooling such as Terraform).
  • Demonstrated AI literacy and an emerging agentic mindset – actively use AI tools in daily engineering work and can speak to how AI has amplified your output.
  • Strong communication and collaboration skills, and an eagerness to learn and grow within a fast‑moving platform team.
Preferred Qualifications
  • Hands‑on experience with Claude Code or other agentic coding tools – building agentic workflows, custom commands, or MCP integrations.
  • Experience with GCP, OCI, or Azure beyond AWS, especially managing Kubernetes (GKE, OKE, AKS) across providers.
  • Exposure to compliance‑driven environments (FedRAMP, SOC
    2) and sound security and change‑management practices.
  • Familiarity with policy‑as‑code (Kyverno, OPA/Gatekeeper), supply‑chain security (cosign, SBOM), or artifact/registry governance.
  • Exposure to internal developer platforms, platform APIs, or developer experience tooling.
  • Contributions to open‑source cloud‑native projects within the CNCF ecosystem.
Benefits
  • Time off programs
  • Medical, dental, vision, mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k) retirement plan
  • Employee stock purchase program
Equal Opportunity Statement

Salesforce is a certified equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Hiring decisions are made based on merit, competence, and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, transgender status, age, disability, veteran status, marital status, or other protected class characteristics. This policy applies to all aspects of employment, including recruiting, hiring, job assignment, compensation, promotion, benefits, training, performance assessment, discipline, and termination.

Salesforce also offers equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

Accommodations

If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form.

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