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# Senior Platform Engineer

- **Company:** The Sully Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Delivery, Continuous Integration, DevOps, Python (Programming Language), TypeScript, Pulumi, Google Cloud, Large Language Models, Mttr, Kubernetes, Deployment Automation, Software Coding, Terraform
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-platform-engineer-santa-clara-ca--c108c93f-0771-4e45-8eec-ed5254d3a3dd

## About the Role

Artificial Intelligence (AI), Healthcare, Nursing, Standards Development, Cloud Computing, Machine Tool, Continuous Deployment/Delivery, Continuous Integration, DevOps, Microsoft Windows Azure, * Senior-level experience & ability in Platform, DevOps, or SRE roles with production Kubernetes across multiple clouds (AWS, GCP, Azure), not single-cloud only.

 * Proficiency with GitOps and Infrastructure as Code, including ArgoCD and either Terraform or Pulumi.
 * Strong coding skills in Python or TypeScript for platform tooling and automation.
 * High levels of ownership in a startup/scaleup with a lean team

## Description

* Own multi-cloud provisioning, upgrading, and reliability of the core platform
 * Automate everything via infrastructure as code and GitOps
 * Ship fully automated deployments across regions
 * Standardize developer experience across areas such as tooling and CI/CD
 * Optimize our stack's scalability and maintain cost-awareness for AI workloads, * Take a loosely defined platform challenge, write the requirements, and deliver a working solution.
 * Audit platform, CI/CD, and dev tooling with Eng/Product; remove top blockers.
 * Baseline key metrics (lead time, deploy freq, MTTR, cost per token); draft a Platform Playbook.
 * 100% infrastructure changes via IaC + GitOps; no console edits.
 * Automated multi-region deployments across 2 clouds; SLOs enforced; MTTR 50%.
 * Engineer efficiency up 80-90% on routine workflows; reduced LLM and infra cost.