Cloud Infrastructure Engineer

Software Engineer (MTS)

Platform Engineering – Cloud Infrastructure organization. Build and operate core platform services in Go and Python for a multi‑cloud Kubernetes fleet spanning AWS, Azure, GCP, and OCI.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work is changing and we are looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

The Software Engineer (MTS) is part of the Platform Engineering team within the Cloud Infrastructure organization. We design, build, and operate the internal developer platform powering hundreds of Kubernetes clusters across clouds. Your work will enable fast, secure, and reliable delivery for product teams.

• 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.
• Use AI tooling in everyday engineering workflows—agentic coding assistants (e.g., Claude Code) for development, code review, automation, and operational runbooks—to multiply your output.
• Develop an agentic mindset: spot repetitive work and propose AI‑augmented automations that reduce manual effort.
• Participate in design reviews and code reviews, write clear technical documentation, and grow your platform and cloud‑native expertise.
• Join on‑call rotations and help improve the platform’s operational posture through automation and post‑incident learning.

• 2-4 years of professional experience in cloud infrastructure engineering and continuous deployment.
• Hands‑on Kubernetes experience—deploying, troubleshooting, and automating workloads or clusters (networking, scaling, upgrades).
• Good programming skills in Golang and/or Python, with experience building services, CLIs, or automation tooling.
• 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 to amplify engineering output.
• Strong communication and collaboration skills, and an eagerness to learn and grow within a fast‑moving platform team.

• 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 (IDPs), platform APIs, or developer experience tooling.
• Contributions to open source cloud‑native projects (CNCF ecosystem).

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. All applicants are assessed on the basis of merit, competence, and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.

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