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💼 Full-time🗓 2026-06-25

Core

Own and scale multi-cloud infrastructure, delivering automated, reliable, and cost-efficient deployments while standardizing developer experience.

Role type

Senior Platform Engineer (multi-cloud)

Builds

Automated, multi-region deployments for AI workloads across AWS, GCP, and Azure

Domain

Healthcare + Multi-cloud Infrastructure

Deliverable

infrastructure

Required skills

Kubernetes (multi-cloud), GitOps, Infrastructure as Code (Terraform/Pulumi), Python, TypeScript

Preferred skills

None stated

Technologies

AWS, GCP, Azure, Kubernetes, ArgoCD, Terraform, Pulumi

Responsibilities

Own multi-cloud provisioning, upgrading, and reliability; Automate infrastructure via IaC and GitOps; Ship fully automated deployments across regions; Standardize developer experience (tooling, CI/CD); Optimize stack scalability and cost for AI workloads

Seniority

Senior, hands-on IC

Rewrite
## About Us At Sully.ai, We're Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that's not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission One Human, One Doctor. We enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care. ## About the Role We're hiring a Senior Platform Engineer to own and scale Sully.ai's multi-cloud infrastructure, delivering automated, reliable, and cost-efficient deployments across regions while standardizing developer experience and platform operations. ## Key Responsibilities - 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 ## Hard Requirements - 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. ## Key Results (First 90 Days) - 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. ## Why Join Sully.ai? - 🔥 Revolutionizing the antiquated $800B+ Healthcare market - 🧠 60%+ Ex-founders who have built, scaled, exited. We hire A-players - ⚡️ Speed matters: we operate with urgency, autonomy, and ownership - 🧪 You'll work on real, first-of-their-kind problems at the edge of AI and medicine - ❤️ Your work directly unlocks doctors to reclaim their time, and patients get better, faster care ## Sully.ai is an equal opportunity employer In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.
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