Junior Back-end Engineer

Annova Solutions India; Indore District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Annova Solutions India is seeking a Junior Backend Engineer with about 2 years of hands-on backend experience. The role focuses on Python and/or Node.js, REST APIs, databases, AWS, Docker, and building scalable backend services.

You will work with senior engineers to develop, test, and improve backend applications, APIs, and data-processing pipelines in a fast-paced environment.

Qualifications

• Bachelors degree in Computer Science, Software Engineering, or related field.
• Around 2 years of hands-on backend development experience.
• Good knowledge of Python and/or Node.js.
• Experience developing REST APIs.
• Exposure to AWS or another cloud platform.

Responsibilities

• Design and develop scalable backend applications using Python and Node.js.
• Build secure, high-performance RESTful APIs and asynchronous services.
• Design modular, maintainable software following best practices.
• Lead backend architecture discussions and optimize performance.
• Collaborate with AI/ML teams on data pipelines and deployment.

Skills

Python

Node.js

REST APIs

JavaScript/TypeScript

Education

Bachelor's degree in CS/Software Eng or related

Tools

Docker

AWS

Kubernetes

Job description

Job Description:

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

• Bachelors 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.

Requirements: