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 setting. 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.

📌 Junior Back-end engineer (India)
🏢 Annova Solutions
📍 India