Senior Cloud Platform Engineer

Who you are

• 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

What the job involves

• 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
• 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
• You will be at the heart of Salesforce’s "Stability First" mission
• This role offers the unique challenge of operating at massive scale while solving the intricate security puzzles of air-gapped infrastructure
• You'll also be on the leading edge of AI-augmented infrastructure engineering, using AI on every inner-loop activity to deliver more per engineer than has ever been possible, while still owning the human-critical work (on-call, security, and customer outcomes) that defines great infrastructure teams
• If you enjoy building "infrastructure as a product" and thrive in a high-impact environment, this is your next step

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year