Senior Cloud Platform Engineer — AI‑Powered Monitoring

salesforce.com, inc.; San Francisco (CA); On-site; USD 179,000 - 246,000; Full time

Job summary

Salesforce is seeking a Senior Member of Technical Staff for the Monitoring Cloud team in San Francisco to own and operate the systems that keep the platform reliable, scaling across multi-cloud environments with AI-assisted development. You will productize infrastructure, automate IaC, and guide security-focused, on-call engineering.

Expect to design Terraform/Kubernetes tooling, manage upgrades, and deliver reliable services like Grafana to internal teams, while ensuring privacy and air-gapped

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 (eg: java, python etc)
• Experience managing or extending monitoring tools (e.g., Grafana), messaging systems (kafka etc), elastic search, 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.

Responsibilities

• Design and implement automation frameworks using Terraform and Kubernetes to manage monitoring infrastructure.
• Standardize "paved path" deployments across AWS and GCP, eliminating manual configuration errors and ensuring global consistency.
• Use AI-assisted tooling as the default for authoring, refactoring, and reviewing IaC modules, Helm charts, and automation scripts while directing intent, validating output, and owning the final result.
• Own the lifecycle of the Monitoring Cloud stack, including version upgrades and performance tuning.
• Productize core components (e.g., Grafana, custom Terraform providers) to make them consumable as reliable services by internal engineering teams.
• Leverage AI for upgrade planning, release-note analysis, migration scaffolding, and boilerplate-heavy productization work (API wiring, schema plumbing, SDK generation), while retaining accountability for design and rollout.
• Deploy and manage the full monitoring stack within highly isolated, air-gapped environments.
• Ensure that our most secure customer segments receive the same level of observability and reliability as our public cloud offerings.
• Apply AI assistance during development of the artifacts that ship into these environments; operate them in-network with the disciplined, human-driven workflows these environments require.
• Participate in the team's on-call rotation, providing the deep technical expertise required to maintain strict SLAs and availability targets.
• Conduct root-cause analysis (RCA) for complex system failures and implement long-term preventative fixes.
• Address support requests with a "customer first" mindset.
• Use AI as a co-pilot during incident response and RCA: summarizing logs, correlating traces, proposing hypotheses, and drafting status updates and postmortem while the engineer remains the accountable responder and decision-maker.
• Design and deliver platform features that adhere to enterprise standards while pioneering AI-driven development practices to accelerate delivery and enhance system intelligence.
• Contribute to and evolve the team's AI-assisted development playbook: prompts, agents, skills, evaluation harnesses, and guardrails that let the team ship faster without sacrificing quality or security.

Skills

Distributed systems

Kubernetes (K8s)

Terraform

AWS

GCP

Java

Python

Grafana

Kafka

Elasticsearch

Security & authN/authZ

AI-assisted development fluency

Tools

Terraform

Kubernetes

AWS

GCP

Grafana

Kafka

Elasticsearch

Job description

Salesforce is seeking a Senior Member of Technical Staff for the Monitoring Cloud team in San Francisco to own and operate the systems that keep the platform reliable, scaling across multi-cloud environments with AI-assisted development. You will productize infrastructure, automate IaC, and guide security-focused, on-call engineering.

Expect to design Terraform/Kubernetes tooling, manage upgrades, and deliver reliable services like Grafana to internal teams, while ensuring privacy and air-gapped