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

Robust 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.

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