Senior Platform Engineer
Sully.AI - US - Remote
Posted Feb 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Platform Engineer US - Remote 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,
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