Software Engineering

Technology

SoftwareEngineeringSMTS-CloudReliability

$149–224k United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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