# Software Engineering SMTS - Cloud Reliability at Salesforce

Salesforce is hiring a Software Engineering SMTS - Cloud Reliability in New York, United States. It pays $149k-$224k a year and Level rates it Little AI ●○○○; you can [apply on Salesforce](https://jobsbylevel.com/go/2434581b-2454-4712-bb4b-ce4320367782?utm_medium=ai-agent).

AI Level 1, AI centrality 7 out of 100. New York - New York.

## Details

- Company: [Salesforce](https://jobsbylevel.com/companies/salesforce)
- AI level: AI Level 1 (score 7 out of 100)
- Location: New York - New York
- Salary: $149k-$224k
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/2434581b-2454-4712-bb4b-ce4320367782?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=software-engineering-smts-cloud-reliability-at-salesforce-6abe93

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/software-engineering-smts-cloud-reliability-at-salesforce-6abe93

## Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. 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. About the Team The Cloud Platform Engineering team builds and operates the highly available, active-active cloud infrastructure that powers Salesforce at scale. We treat our internal platform as a product — obsessing over developer velocity, automation-first design, and a strict "No Ticket-Ops" philosophy. We are a lean team at the leading edge of platform engineering — AI tools in every workflow, Slack as our enterprise WorkOS, and agents wired into our GitOps pipelines. We move fast, we automate everything, and we expect you to do the same. The Shared Team DNA We are "T-shaped" engineers with distinct focus areas who learn from one another. Every member shares a passion for: Platform-as-a-Product: Internal engineers are our customers — their DX and velocity come first. Eradicating Toil: Recurring issue? Write the automation. Ship code, don't file tickets. Shift-Left Security: Compliance and guardrails baked into the code by default — never bolted on. SRE Mindset: Engineer for failure. Self-healing systems. 99.999% availability. Deep Observability: Rich telemetry, distributed tracing, automated alerting — proactive, not reactive. AI-Native & Agentic: AI tools in every workflow, agents in every pipeline. Non-negotiable. About the Role You are the engineer who builds the cloud infrastructure engine. Partnering across platform teams, you design and deliver the infrastructure vending machines and reusable IaC modules that empower internal product teams to provision fully governed, multi-account AWS environments in 15 minutes, not two weeks . You own your domain like a product — understanding customer pain, reducing friction, and shipping solutions. Your Impact – Responsibilities AWS Infrastructure Vending Machine: Own AFT as Terraform Enterprise SME; automate multi-region, multi-account provisioning via AWS Organizations and Control Tower. Enterprise Golden Modules: Author, test, and version-control a library of secure, pre-approved Terraform modules; translate compliance requirements into Sentinel/SCP policies. CI/CD & Guardrail Integration: Embed automated security scanning, Policy-as-Code enforcement, and cost guardrails directly into developer PRs — leveraging AI to intelligently surface risk, suggest remediations, and evolve the ruleset continuously. Resilience & Active-Active Delivery: Implement automated failover across AZs and regions using Cloud WAN, ARC, and FIS; lead Game Days simulating catastrophic failure. Agentic ChatOps & Slack Integration: Wire provisioning pipelines and AI agents into Slack for real-time intelligence, ChatOps control, and zero-touch operations. AI-Augmented IaC: Use AI coding assistants (Claude Code, Codex, Cursor) as primary tools to author, review, and validate infrastructure code at speed. Observability Platform: Build centralized logging, metrics, and tracing (Prometheus, Grafana, ELK, Datadog); define and enforce SLOs/SLIs. SRE Advisory: Advise internal teams on observability best practices, alerting strategies, and resilience architecture — trusted advisor, not CloudOps. Minimum Qualifications 7+ years in Software Engineering, SRE, or Platform Engineering in large-scale AWS

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineering-smts-cloud-reliability-at-salesforce-6abe93

Source: https://jobsbylevel.com/jobs/software-engineering-smts-cloud-reliability-at-salesforce-6abe93

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