Senior AI-Driven Cloud Platform Engineer

Jobtailor

Town of Florida (NY)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

Jobtailor is seeking a senior cloud architect to design and operate AI-enabled capabilities across cloud engineering products in a production environment. You will deploy AI features for landing zones and migration tooling, and you will lead the development of MCP servers, adapters, and platform APIs.

The role requires hands-on experience with major cloud providers, Kubernetes, IaC, and CI/CD, plus leadership to mentor teams and drive architecture standards.

Qualifications

  • Bachelor's degree in Information Technology, Computer Science, or related field with 8+ years in architecture/design.
  • Candidates must reside within reasonable commuting distance from posting locations.
  • This position is not eligible for visa sponsorship.
  • Hands-on experience building and operating production cloud platforms.
  • Ability to author infrastructure as code, APIs, automated tests, CI/CD pipelines, and operational tooling.

Responsibilities

  • Design, code, integrate, and operate AI-enabled capabilities across cloud engineering products.
  • Deploy AI-enabled capabilities for account vending, landing zones, and migration tooling.
  • Build and maintain MCP servers, adapters, and cloud platform APIs and data services.
  • Automate developer onboarding, guardrail validation, and environment setup.
  • Lead architecture strategy, review reference implementations, and mentor engineers.

Skills

Cloud Platform Architecture
Kubernetes & Containerization
Python/Go/TypeScript/Java
FinOps & Cloud Cost Management

Education

BA/BS in Information Technology or Computer Science

Tools

Kubernetes
Terraform
CloudFormation
CI/CD Tools
Developer Portals
IDE Integration
Command-Line Tools
Workflow Automation Platforms

Job description

Jobtailor is seeking a senior cloud architect to design and operate AI-enabled capabilities across cloud engineering products in a production environment. You will deploy AI features for landing zones and migration tooling, and you will lead the development of MCP servers, adapters, and platform APIs.

The role requires hands-on experience with major cloud providers, Kubernetes, IaC, and CI/CD, plus leadership to mentor teams and drive architecture standards.

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