Senior Cloud Platform Engineer - AI-Driven Monitoring

Salesforce

Washington

Hybrid

USD 180,000 - 260,000

Full time

4 days ago

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Job summary

Salesforce is seeking a Senior Member of Technical Staff (SMTS) for the Monitoring Cloud team. You will own and operate the systems ensuring reliability across multi-cloud environments, bridging high-level design and deep system stability.

Responsibilities include automating deployments with Terraform and Kubernetes and securing air-gapped environments for sensitive customers. This AI-first engineering role uses AI-assisted tools as the default for inner-loop activities, code authoring, and

Qualifications

5+ years proven track record in distributed systems, API platforms, infrastructure engineering, observability or DevOps at scale.
Proficiency with Kubernetes (K8s) and Terraform.
Hands-on experience managing infrastructure in AWS and/or GCP.
Proficiency in programming languages (e.g., Java, Python).
Experience with monitoring or observability tooling is a plus.

Responsibilities

Infrastructure as Code (IaC) & Automation using Terraform and Kubernetes across multi-cloud deployments.
Productize monitoring components (e.g., Grafana, Terraform providers) for internal teams.
Secure and operate air-gapped environments for sensitive customers.
Lead on-call rotations, RCA, and incident response with AI-assisted tooling.
Deliver Next-Gen features using AI-driven development practices and guardrails.