About the Role We are looking for a Junior Backend Engineer with around 2 years of hands-on experience in backend development. The ideal candidate should have good working knowledge of Python and/or Node.js, REST APIs, databases, AWS, Docker, and backend application development. You will work closely with senior engineers and cross-functional teams to develop, maintain, test, and improve scalable backend applications and services. Key Responsibilities Backend Architecture & Development • Design and develop scalable backend applications using Python and Node.js • Build secure, high-performance RESTful APIs and asynchronous event-driven services. • Design modular, reusable, and maintainable software following industry best practices. • Lead backend architecture discussions. • Optimize application performance, scalability, and reliability. AI, NLP & Data Processing • Design and implement large-scale document and data processing pipelines. • Build backend systems supporting AI and NLP workloads. • Develop services for processing structured and unstructured datasets. • Integrate Large Language Models (LLMs) and other AI services into enterprise applications. • Collaborate with AI/ML engineers to deploy production-ready machine learning models. • Optimize AI inference pipelines for performance and cost. Cloud Engineering (AWS) Design, deploy, and manage cloud-native applications using AWS services including: • Amazon EKS • AWS Lambda • Amazon EC2 • Amazon S3 • Amazon RDS • Amazon ECS • IAM • CloudWatch • EventBridge • SQS/SNS • API Gateway • Secrets Manager • CloudFront Responsibilities include: • Designing highly available cloud architectures. • Infrastructure automation. • Performance optimization. • Cost optimization. • Security best practices. • Disaster recovery planning. Database & Data Engineering • Design scalable database schemas. • Optimize SQL queries and indexing strategies. • Work with relational and NoSQL databases. • Build ETL/data ingestion pipelines. • Handle large-scale data migration and processing. • Ensure data integrity, consistency, and high availability. DevOps & Platform Engineering • Build and maintain CI/CD pipelines. • Containerize applications using Docker. • Deploy applications to Kubernetes (Amazon EKS). • Implement logging, monitoring, and observability solutions. • Improve deployment automation and operational efficiency. Leadership & Mentorship • Mentor junior and mid-level engineers. • Conduct architecture and code reviews. • Define engineering standards and best practices. • Participate in sprint planning and technical estimation. • Collaborate with cross-functional teams to deliver high-quality solutions. Required Technical Skills Programming Languages • Python (Expert) • Node.js (Expert) • JavaScript / TypeScript Backend Technologies • REST APIs • GraphQL • Microservices Architecture • Event-Driven Architecture • Message Queues • Asynchronous Processing • API Security • Authentication & Authorization (OAuth2, JWT) Frontend (Working Knowledge) • React.js • Next.js AWS Cloud Strong hands-on experience with: • Amazon EKS • AWS Lambda • Amazon EC2 • Amazon S3 • Amazon RDS • Amazon ECS • API Gateway • CloudWatch • IAM • VPC • CloudFront • Route 53 • Elastic Load Balancer • Auto Scaling • EventBridge • SQS • SNS • AWS Secrets Manager Databases • PostgreSQL • MySQL • MongoDB • Redis • Elasticsearch/OpenSearch (preferred) Requirements Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, or a related field. • Around 2 years of hands-on backend development experience. • Good knowledge of Python and/or Node.js. • Experience developing REST APIs. • Good understanding of databases and SQL. • Exposure to AWS or another cloud platform. • Experience with Git and version control. • Good problem-solving and debugging skills. • Willingness to learn new technologies and work in a fast-paced environment. Preferred Qualifications • Experience with both Python and Node.js. • Experience with microservices architecture. • Hands-on Docker experience. • Exposure to Kubernetes/Amazon EKS. • Experience with AWS services. • Exposure to AI/ML, NLP, LLM, or document-processing applications. • Experience with PostgreSQL, MongoDB, or Redis. • Understanding of CI/CD pipelines.