Senior Cloud Platform Engineer (SMTS)

Salesforce; Washington; Hybrid; USD 180,000 - 260,000; Full time

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.

Skills

Kubernetes

Terraform

AWS/GCP

Distributed systems

Java/Python

Job description

Job Category

Software Engineering

Job Details

About Salesforce

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 as we know it is changing and we're 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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description: Senior Member of Technical Staff (SMTS) - Monitoring Cloud Infrastructure

Location: Bellevue / Seattle / San Francisco / Palo Alto/ Hybrid / On-Site

Role Level: Software Engineering Senior MTS

Team: Infrastructure Engineering / Monitoring Cloud

Position Overview

As a Senior Member of Technical Staff (SMTS) within our Monitoring Cloud team, you will be a key owner and operator of the systems that keep Salesforce reliable. You won't just be "using" tools; you will be productizing infrastructure to ensure our monitoring capabilities evolve at the scale of our multi-cloud footprint.

Your mission is to bridge the gap between high-level feature design and deep-system stability. From automating the "paved path" across AWS and GCP to securing air-gap environments for our most sensitive customers, you will ensure our monitoring stack is invisible, resilient, and intelligent.

This is an AI-first engineering role. You will use AI-assisted development tools (e.g., Claude Code) as the default for every inner-loop activity, code authoring, Terraform and Kubernetes scaffolding, test generation, refactoring, log/trace analysis, runbook drafting, and documentation. We expect AI to compound your throughput on routine implementation so you can focus your human judgment on architecture, security, on-call response, and customer outcomes.

Core Responsibilities

1. Infrastructure as Code (IaC) & Automation
   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.
2. Infrastructure Upkeep & Productization
   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.
3. Secure & Air-Gapped Operations
   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.
4. Operational Excellence & Health
   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.
5. Next-Gen Feature Delivery
   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.

Required 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 monito