Cloud Native Full Stack Engineer

Info Way Group
Plano, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 156K

Job location

Plano, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Software Applications
Automation of Tests
Unit Testing
Cloud Computing
Cloud Engineering
Code Generation
Software Quality
Code Review
Continuous Integration
Distributed Systems
Amazon DynamoDB
Github
Python
Performance Tuning
Cloud Services
Software Engineering
Systems Integration
Xml Technologies
Scripting (Bash/Python/Go/Ruby)
Enterprise Software Applications
GitHub Copilot
Large Language Models
Spring-boot
Generative AI
Infrastructure as Code (IaC)
Gitlab
Build Management
Amazon Web Services (AWS)
Containerization
Angular
Amazon Web Services (AWS)
Web Technologies
Functional Programming
Api Gateway
REST
Terraform
GPT
Devsecops
Docker
Microservices

Job description

We are seeking a highly skilled Senior Full Stack Software Engineer with expertise in modern web technologies, cloud-native development, and AI/GenAI-enabled software engineering practices. The ideal candidate will be a hands-on developer experienced in designing, building, and scaling enterprise applications using Java, Python, Angular, and AWS services., * Design, develop, and maintain scalable full-stack applications using Java (Spring Boot), Python, and Angular.

  • Build and deploy cloud-native solutions using AWS services such as ECS/EKS, AWS Fargate, Lambda, API Gateway, S3, RDS, DynamoDB, and CloudFront.
  • Implement modern microservices-based and distributed system architectures.
  • Integrate AI/GenAI capabilities into software development workflows using GitHub Copilot, ChatGPT, and LLM-powered tools.
  • Develop and utilize agentic AI workflows to automate development tasks and improve engineering efficiency.
  • Use AI tools for code generation, unit testing, automation testing, and AI-assisted code reviews.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Participate in DevSecOps and CI/CD practices to ensure secure, reliable, and efficient deployments.
  • Mentor junior developers and contribute to engineering best practices and technical leadership.
  • Ensure high standards of code quality, performance optimization, security, and maintainability.

Requirements

Do you have experience in Spring Boot?, This role requires strong experience with AI-assisted development tools such as GitHub Copilot, ChatGPT, and Large Language Model (LLM)-based workflows to improve engineering productivity, automation, and code quality., * Strong hands-on experience with Java, Spring Boot, Python, and Angular.

  • Experience with AWS cloud services including:
  • AWS Fargate
  • Amazon CloudFront
  • S3
  • RDS
  • DynamoDB
  • ECS/EKS
  • API Gateway
  • Practical experience with AI/GenAI tools such as GitHub Copilot and ChatGPT.
  • Understanding of Large Language Models (LLMs) and AI-driven development workflows.
  • Experience with CI/CD pipelines and DevSecOps practices.
  • Knowledge of REST APIs, microservices architecture, and distributed systems.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

Preferred Skills

  • Experience integrating LLM APIs or building AI-powered applications.
  • Familiarity with Infrastructure as Code (IaC) and Terraform.
  • Exposure to containerization technologies such as Docker and Kubernetes.
  • Experience with automation frameworks and test automation tools.
  • Knowledge of XML technologies and enterprise integrations.
  • GitLab/GitHub pipeline experience.

Good-to-Have Skills

  • DevSecOps
  • Automation scripting
  • Agent-based AI architectures
  • Security-focused engineering practices
  • Cloud infrastructure engineering

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