Software Engineering SMTS - Cloud Reliability

Salesforce•San Francisco, CA

1d•$148,500 - $246,000

About The Position

Salesforce’s Cloud Platform Engineering team builds and operates highly available, active-active cloud infrastructure at scale. The team treats its internal platform as a product, prioritizing developer velocity, automation-first design, security guardrails, reliability, deep observability, and AI-native workflows. The Software Engineering SMTS will build cloud infrastructure and partner with platform teams to deliver infrastructure vending machines and reusable infrastructure-as-code modules. These solutions enable internal product teams to provision governed, multi-account AWS environments. The engineer owns their domain as a product, understands internal customer needs, reduces friction, and delivers platform improvements. The role includes owning Account Factory for Terraform (AFT) as a Terraform Enterprise subject matter expert; developing secure Terraform modules and policy guardrails; integrating security, policy, and cost controls into CI/CD; engineering multi-region resilience and failover; connecting provisioning pipelines and AI agents with Slack; using AI coding assistants to develop infrastructure code; building observability capabilities; and advising teams on SRE practices.

Requirements

At least 7 years of experience in Software Engineering, SRE, or Platform Engineering in large-scale AWS environments.
Expert-level Terraform experience, including managing state at scale, decoupling modules, and continuous IaC delivery.
Strong Python or Go skills for custom tooling and AWS SDK integrations, such as Boto3 or the Go SDK.
Deep knowledge of AWS services including IAM, VPC, Cloud WAN, EKS/ECS, Lambda, and DynamoDB, and multi-region active-active disaster recovery.
Experience with GitOps-driven deployments and automated guardrails in enterprise pipelines.
Daily hands-on practice with AI-assisted development tools such as Claude Code, Codex, Cursor, Gemini, or equivalent.

Nice To Haves

AWS certification such as Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty.
Experience with AWS Control Tower, Account Factory for Terraform (AFT), or custom account vending.
Hands-on chaos engineering experience with AWS FIS, Gremlin, or equivalent Game Day practices.
Experience building agentic pipelines or AI-integrated developer tooling.
Familiarity with Slack platform development, Bolt SDK, or ChatOps automation.
Background in FinOps, Policy-as-Code (Sentinel or OPA), or secrets management (Vault).

Responsibilities

Own AFT as a Terraform Enterprise subject matter expert and automate multi-region, multi-account provisioning through AWS Organizations and Control Tower.
Author, test, and version-control secure, pre-approved Terraform modules, and translate compliance requirements into Sentinel and SCP policies.
Integrate automated security scanning, Policy-as-Code enforcement, and cost guardrails into developer pull requests, using AI to surface risks, suggest remediations, and improve rules.
Implement automated failover across availability zones and regions using Cloud WAN, ARC, and FIS, and lead Game Days that simulate catastrophic failures.
Integrate provisioning pipelines and AI agents with Slack for real-time intelligence, ChatOps control, and zero-touch operations.
Use AI coding assistants such as Claude Code, Codex, and Cursor to author, review, and validate infrastructure code.
Build centralized logging, metrics, and tracing capabilities using tools such as Prometheus, Grafana, ELK, and Datadog, and define and enforce SLOs and SLIs.
Advise internal teams on observability practices, alerting strategies, and resilience architecture.
Automate recurring issues, own the platform domain end-to-end, identify single points of failure, and maintain runbooks, ADRs, and processes as code.