Develop and maintain high-performance backend systems and APIs using modern technologies such as serverless architectures, microservices, and containerization.
Design and implement server-side logic, database schemas, and integrations with third-party services to support scalable and efficient applications.
Deploy, monitor, and optimize backend services on AWS cloud infrastructure, ensuring high availability, performance, and cost-efficiency.
Collaborate closely with front-end engineers, DevOps, and product owners to deliver seamless, scalable solutions and align with business goals.
Ensure adherence to best practices in coding, security, performance, and scalability, including secure coding practices and data encryption.
Participate in technical discussions, code reviews, and agile development activities to foster continuous improvement and knowledge sharing.
Troubleshoot and resolve issues in production and development environments promptly and effectively to minimize downtime.
Stay current with emerging backend technologies and trends, such as AI integration, edge computing, and new programming languages, to drive innovation.
3+ years of hands-on experience in developing backend systems.
Proficiency in programming languages such as Python and Node.js.
Solid understanding of AWS services (e.g., EC2, S3, Lambda, API Gateway, RDS).
Strong knowledge of databases, both SQL (e.g., MySQL) and NoSQL (e.g., MongoDB, DynamoDB).
Experience with RESTful API design and integration.
Familiarity with serverless architectures (e.g., AWS Lambda, Serverless Framework).
Knowledge of CI/CD processes and tools (e.g., Jenkins, GitHub Actions).
Understanding of containerization technologies (e.g., Docker, Kubernetes).
Experience with security best practices for cloud-based applications, including data encryption and compliance standards.
Proficient in Git and comfortable working in an Agile/Scrum environment.
Strong problem-solving skills and a team player attitude.
Bonus: Good understanding of microservices architecture.
Bonus: Experience with AI and machine learning integration or familiarity with edge computing concepts.
Ideal Candidate: Passionate about technology and eager to learn and stay updated with industry trends and emerging technologies.
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