Cloud Infrastructure Engineer

Overview of the Role

Platform Engineering is part of the Cloud Infrastructure organization. Platform Engineers, SREs, and Dev Ops specialists design, build, and operate the internal developer platform that supports hundreds of Kubernetes clusters across AWS, Azure, GCP, and OCI. The role focuses on building and operating core platform services in Go and Python, contributing to Git Ops and continuous‑deployment pipelines, and learning to run Kubernetes  candidate will develop an agentic mindset and become an AI amplifier who multiplies output with AI‑assisted engineering practices from day one.

• 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 such as Flux and Argo CD and infrastructure‑as‑code frameworks like Pulumi and Terraform to enable safe, repeatable releases.
• Take part in fleet initiatives such as cluster lifecycle automation, upgrades, policy enforcement, and observability improvements.
• Partner with SRE, security, and product engineering teams to understand needs and 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 force‑multiply output.
• Learn to 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 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 using AI tools in daily engineering work (code generation, debugging, documentation, automation).
• 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, SOC2) 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 in the CNCF ecosystem.

When you join Salesforce, you’ll find limitless opportunities to grow and impact. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best.

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