AI-Native Full-Stack Engineer (Cloud, AI-Driven SDLC)

maxar

Westminster (CO)

On-site

USD 105,000 - 154,000

Full time

3 days ago
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Benefits offered by this job

Benefits: 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance

Job summary

Vantor is seeking an AI-native Full Stack Software Engineer who embraces AI as a core engineering capability. The role focuses on cloud-native development using Java/Spring Boot, Vue.js, and Python/FastAPI to deliver secure, scalable software.

You will own features end-to-end—from specifications to production deployment—with Product Management, Systems Engineering, and Solution Architecture, while applying AI to accelerate the SDLC and improve quality.

Qualifications

  • Bachelor's degree in Computer Science or Software Engineering required.
  • 3–5 years of experience building cloud-native applications.
  • Proficiency in Java/Spring Boot, Vue.js, React, Angular, PostgreSQL, Python/FastAPI.
  • Experience with AWS, Docker, Kubernetes, and Infrastructure as Code (IaC).
  • Strong REST API design, Agile methods, and AI-assisted SDLC experience.

Responsibilities

  • Design, develop, test, deploy, and support full-stack applications on AWS.
  • Collaborate with Product Management and Systems Engineering to refine specs.
  • Build and operate cloud-native apps using Docker, Kubernetes, and IaC.
  • Develop secure APIs and ensure code quality, reliability, and maintainability.
  • Apply AI to accelerate development, testing, and automation.

Skills

Java
Spring Boot
Vue.js
React
Angular
PostgreSQL
Python
FastAPI
AWS
Docker
Kubernetes
Terraform
CloudFormation
CDK
REST APIs
Agile development
AI-assisted SDLC

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Terraform
CloudFormation
CDK

Job description

Vantor is seeking an AI-native Full Stack Software Engineer who embraces AI as a core engineering capability. The role focuses on cloud-native development using Java/Spring Boot, Vue.js, and Python/FastAPI to deliver secure, scalable software.

You will own features end-to-end—from specifications to production deployment—with Product Management, Systems Engineering, and Solution Architecture, while applying AI to accelerate the SDLC and improve quality.

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