Principal Cloud Engineer – AI/ML

Jobtailor

Town of Florida (NY)

On-site

USD 150,000 - 190,000

Full time

4 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

Design, code, integrate, and operate AI-enabled capabilities across cloud engineering products
Deploy AI-enabled capabilities for account vending, landing zones, CaaS, FinOps, developer onboarding, and application migration and transformation
Develop production agents and reusable skills for account, subscription, and project requests, landing-zone configuration, access and policy validation, deployment guidance, incident triage, CaaS troubleshooting, cost optimization, and migration readiness
Build and maintain MCP servers, adapters, and supporting services exposing cloud platform APIs, automation, inventory, telemetry, cost data, and operational knowledge
Automate developer onboarding, prerequisite checks, guardrail validation, documentation, environment setup, access workflows, and handoff to platform services
Enhance Kubernetes-based CaaS offerings with self-service and AI-assisted workload onboarding, deployment, compliance, observability, troubleshooting, and remediation
Create FinOps tooling and agents for allocation, tagging quality, anomaly detection, rightsizing, forecasting, commitment utilization, waste reduction, and optimization recommendations
Build application transformation accelerators for discovery, dependency analysis, cloud readiness, containerization, migration planning, modernization, and repeatable implementation artifacts
Partner with Enterprise AI, Information Security, Responsible AI, Enterprise Architecture, and application teams on standards, approved models, security reviews, identity, data protection, audit, evaluation, and lifecycle controls
Instrument capabilities with product and operational metrics, support production incidents, gather customer feedback, and improve adoption, reliability, latency, cost, and developer experience
Provide technical leadership through reference implementations, code reviews, pairing, and mentoring
Maintain architecture strategy, enterprise blueprints, conceptual architecture components, standards, guidelines, principles, frameworks, and reference models
Drive system migration based on enterprise and domain roadmaps
Provide consulting services and direction for projects and architectures

Requirements

BA/BS degree in Information Technology, Computer Science, or related field, and a minimum of 8 years of experience in architecture/design in relevant technology disciplines; or an equivalent combination of education and experience
Candidates must reside within a reasonable commuting distance from one of the posting locations unless an accommodation is granted
This position is not eligible for current or future visa sponsorship
Recent hands‑on experience building and operating production cloud platforms and software
Ability to author and review application code, infrastructure as code, APIs, automated tests, CI/CD pipelines, and operational tooling
Deep experience with at least one major public cloud provider and core cloud platform patterns
Experience with Kubernetes and container platform capabilities
Strong software engineering skills in Python, Go, TypeScript, or Java
Experience building production generative AI or agent solutions
Experience building MCP servers, clients, or comparable agent‑to‑tool integrations
Experience with Terraform or CloudFormation, secure CI/CD, DevSecOps, secrets management, least‑privilege access, and production support
Working knowledge of FinOps and cloud cost management
Experience supporting application migration, modernization, containerization, or platform onboarding programs
Experience integrating agents into developer portals, IDEs, command‑line tools, chat interfaces, or workflow automation platforms
Experience implementing responsible AI controls, AI security testing, agent evaluation, and human approval patterns in production
Experience working in regulated environments and across matrixed enterprise teams

Core Competencies

Demonstrates expertise in designing and deploying AI-enabled cloud engineering solutions, with a strong focus on Kubernetes, FinOps, and production cloud platforms. Proven ability to lead technical initiatives, mentor teams, and implement responsible AI practices in regulated environments.

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