Software Engineer AI / Full Stack

The company is seeking a skilled Software Engineer – AI / Full Stack to design, develop, test, and deploy scalable cloud-native applications and microservices. The successful candidate will work across the full software development lifecycle, building modern backend services, responsive web interfaces, and cloud infrastructure using AWS, C#/.NET Core, Node.js/TypeScript, Python, and React.js. This role requires a hands-on engineer with strong full-stack development capabilities, cloud engineering experience, and a solid understanding of modern microservices architectures, containerization, Infrastructure as Code, automated testing, and CI/CD practices.

Key Responsibilities:

• Design, develop, test, and deploy scalable and high-performance microservices.
• Develop backend services using C#/.NET Core, Node.js with TypeScript, and Python.
• Build modern, responsive, and intuitive web applications using React.js and modern JavaScript.
• Design and implement cloud-native solutions using AWS services.
• Develop and manage containerized applications using Docker and AWS ECS.
• Develop serverless solutions using AWS Lambda and integrate services through AWS API Gateway.
• Design and implement data solutions using Amazon DynamoDB, Amazon RDS, and Amazon ElastiCache.
• Configure and work with AWS load-balancing and application availability services.
• Manage application configuration and operational parameters using AWS Systems Manager (SSM) and related AWS services.
• Define and manage AWS cloud infrastructure using AWS CloudFormation and Infrastructure as Code (IaC) practices.
• Develop robust unit tests and automated End-to-End (E2E) tests to ensure application reliability and quality.
• Participate in code reviews and contribute to engineering standards, coding practices, and technical design decisions.
• Monitor application and platform health, investigate production issues, and implement appropriate corrective actions.
• Troubleshoot performance, availability, and reliability issues across application and cloud infrastructure layers.
• Work collaboratively with engineering teams to design and deliver production-grade software solutions.
• Participate in Agile development practices, sprint planning, refinement, stand-ups, retrospectives, and technical discussions.
• Share technical knowledge and contribute to continuous engineering improvement.
• Explore emerging technologies and identify opportunities to improve application architecture, engineering productivity, and platform capabilities.
• Contribute to innovation initiatives and evaluate new technologies relevant to AI, cloud, software engineering, and application modernization.

Required Qualifications:

• Strong hands-on experience developing production-grade microservices using C# and .NET Core.
• Strong experience with Node.js and TypeScript.
• Strong programming experience with Python.
• Solid understanding of RESTful APIs, service integration, and microservices architecture.
• Experience designing scalable, maintainable, and resilient backend services.
• Strong hands-on experience developing web applications using React.js.
• Strong knowledge of modern JavaScript and TypeScript.
• Experience developing responsive and user-friendly web interfaces.
• Understanding of frontend architecture, component-based development, and API integration.
• Strong hands-on experience with AWS cloud services.
• Experience with AWS ECS and Docker containers.
• Experience developing and deploying applications using AWS Lambda.
• Experience with AWS API Gateway.
• Experience working with Amazon DynamoDB and Amazon RDS.
• Experience with Amazon ElastiCache or comparable caching technologies.
• Experience with AWS load-balancing technologies.
• Experience with AWS Systems Manager (SSM) and related operational services.
• Strong understanding of cloud-native application architecture and distributed systems.
• Hands-on experience with AWS CloudFormation and strong understanding of Infrastructure as Code (IaC) principles.
• Strong understanding of software testing principles and hands-on experience developing unit tests and implementing automated E2E testing.
• Ability to design software with testability, reliability, and maintainability in mind.
• Hands-on experience with Docker and containerized application development.
• Understanding of virtualization and containerization technologies.
• Experience working with CI/CD pipelines and automated build, test, and deployment processes.

Preferred Qualifications:

• Experience working on AI-enabled applications or platforms.
• Experience integrating AI/ML capabilities or services into cloud-native applications.
• Experience with AWS AI/ML services is an advantage.
• Experience designing event-driven or serverless architectures.
• Experience with distributed systems and highly available cloud applications.
• Experience with observability, application monitoring, logging, and performance optimization.
• Experience with automated infrastructure provisioning and deployment.
• Experience working in large-scale enterprise environments.
• Experience with Agile/Scrum development methodologies.

Language Requirements:
Proficiency in English is required.

What You Will Bring:

• Strong software engineering fundamentals and a passion for building high-quality production systems.
• Ability to work across both frontend and backend technologies.
• Strong problem-solving and troubleshooting capabilities.
• Ability to design scalable and maintainable cloud-native solutions.
• Strong understanding of modern microservices and distributed application architectures.
• Ability to collaborate effectively with cross-functional engineering teams.
• Strong communication and technical documentation skills.
• A continuous-learning mindset with an interest in emerging cloud, AI, and software engineering technologies.
• Ability to work effectively in an Agile environment and contribute to shared engineering objectives.