#req10865
y, S3, DynamoDB, RDS, Cognito, etc.) to build scalable, secure, and resilient solutions.
Explore and integrate AWS AI/ML capabilities into applications to drive innovation.
Collaborate with cloud engineers, QA, architects, and engineering teams to translate business requirements into robust technical solutions.
Optimize system performance, troubleshoot issues, and ensure adherence to security and compliance standards.
Write and maintain SQL and NoSQL queries, schemas, and stored procedures as required.
Participate in peer code reviews, technical design discussions, and documentation.
Continuously evaluate and adopt new tools, frameworks, and cloud engineering best practices.
Frontend: React.js, TypeScript, JavaScript
Backend: Node.js, .NET (Core/ASP.NET) / Java, REST APIs
Database: SQL (PostgreSQL/MySQL), NoSQL (DynamoDB/MongoDB)
Cloud & DevOps: AWS (Lambda, ECS, API Gateway, S3, RDS, DynamoDB), Docker, Git, Jenkins, GitHub Actions, CloudFormation
Collaboration Tools: Jira, Confluence
You've Got What It Takes If You Have...
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
1-3 years of professional experience as a Full Stack Developer.
Strong expertise in React, Node.js, TypeScript, and .NET or Java development.
Proven experience building cloud-native applications on AWS.
Hands-on experience with CI/CD pipelines, containerization (Docker), and Infrastructure as Code.
Exposure to AWS AI/ML services and eagerness to expand AI integration capabilities.
Solid understanding of cloud security principles, scalability, and performance optimization.
Strong problem-solving skills, ability to work in a fast-paced global environment, and excellent communication skills.
#LI-Onsite