Software Engineering
Technology
SoftwareEngineeringSMTS-CloudReliability
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineering SMTS - Cloud Reliability at Software Engineering. Skills: Cloud Reliability, Platform Engineering, Infrastructure as Code, AWS. Own AWS infrastructure vending machine. Automate multi-region provisioning”
What You'll Achieve.
Provision AWS environments in 15 minutes; Reduce friction for customers; Ship solutions
Industry & Context.
Eradicating Toil; Engineer for failure; Self-healing systems; Root cause analysis
What They're Looking For.
Must Have
7+ years Software Engineering, 7+ years SRE, 7+ years Platform Engineering, Expert-level Terraform, Python for tooling, Go for tooling, AWS SDK integrations, Deep AWS core services, Multi-region active-active DR, GitOps-driven deployments, Automated guardrails in pipelines, AI-assisted development daily workflow
Nice to Have
AWS certifications, AWS Control Tower experience, Account Factory for Terraform experience, Custom account vending experience, Chaos engineering experience, Agentic pipelines experience, AI-integrated developer tooling experience, Slack platform development familiarity, Bolt SDK familiarity, ChatOps automation familiarity, FinOps background, Policy-as-Code background, Secrets management background
What You'll Do.
Own AWS infrastructure vending machine
Automate multi-region provisioning
Automate multi-account provisioning
Author secure modules
Version-control secure modules
Translate compliance requirements
Embed automated security scanning
Embed Policy-as-Code enforcement
Embed cost guardrails
Suggest remediations with AI
Evolve ruleset with AI
Implement automated failover
Simulate catastrophic failure
Wire provisioning pipelines
Use AI coding assistants
Author infrastructure code
Review infrastructure code
Validate infrastructure code
Build centralized logging
Advise on observability
How You'll Work.
Team & Collaboration
Partnering across platform teams; Internal product teams; Internal engineers as customers
Communication Scope
Trusted advisor
Process & Methodology
GitOps-driven deployments
Full Job 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 —
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