Senior AI-Driven Cloud Monitoring Engineer

Salesforce; Bellevue (WA); Hybride; USD 149 000 - 224 000; Plein temps

Résumé du poste

Salesforce is seeking a Senior Member of Technical Staff to own and operate the Monitoring Cloud stack at scale across our multi-cloud footprint. You’ll automate with Terraform and Kubernetes, productize Grafana-based services, and ensure security for air-gapped environments.

This AI-first role uses Claude Code and other tools to accelerate development, while you own architecture, on-call response, and customer outcomes in a high-impact infrastructure team.

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 managing or extending monitoring tools (Grafana), messaging systems (Kafka), Elasticsearch, caching frameworks.
• Security First: Understanding of authN/authZ security protocols, particularly in managing isolated or restricted network environments.
• AI-assisted development fluency: demonstrated use of AI coding assistants (e.g., Claude Code) as part of a daily engineering workflow, able to prompt effectively, critically evaluate generated code, and integrate AI into IaC, testing, and automation pipelines.

Responsabilités

• Design and implement automation frameworks using Terraform and Kubernetes.
• Standardize deployments across AWS and GCP for global consistency.
• Use AI-assisted tooling for IaC modules and automation scripts while guiding intent.
• Own the Monitoring Cloud stack lifecycle, including upgrades and performance tuning.
• Productize core components (Grafana, Terraform providers) to be consumable as services.
• AI-assisted upgrade planning, migration scaffolding, and boilerplate work with accountability.
• Deploy and manage the monitoring stack in air-gapped environments.
• Ensure observability for restricted environments and maintain security.
• Participate in on-call rotation and perform RCA with AI assistance.
• Design and deliver platform features with enterprise standards and AI-driven practices.
• Contribute to and evolve the team's AI-assisted development playbook.

Connaissances

Distributed systems

Kubernetes

Terraform

AWS/GCP

Programming languages (Java, Python)

Monitoring tools (Grafana, Kafka, Elst

Outils

Kubernetes

Terraform

Grafana

Kafka

Elasticsearch

Description du poste

Salesforce is seeking a Senior Member of Technical Staff to own and operate the Monitoring Cloud stack at scale across our multi-cloud footprint. You’ll automate with Terraform and Kubernetes, productize Grafana-based services, and ensure security for air-gapped environments.

This AI-first role uses Claude Code and other tools to accelerate development, while you own architecture, on-call response, and customer outcomes in a high-impact infrastructure team.