Cloud Native Full Stack Engineer

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.

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