Back-End Engineer

Annova Solutions Corp.; Indore District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Annova Solutions Corp. is seeking an experienced Senior Backend Engineer to lead design and development of cloud-native backends and AI-powered platforms. You will architect highly available microservices, design APIs, and build data pipelines to support NLP workloads.

The role requires strong Python and Node.js expertise, deep AWS knowledge, and hands-on experience processing large datasets for enterprise AI solutions. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's or Master's in Computer Science, Software Engineering, or related field.
• 5–8 years of backend development experience with cloud-native apps on AWS.
• Experience with large datasets, high-throughput systems, and Kubernetes.
• Proficiency in Python and Node.js for backend services.
• Experience with AI/NLP workloads and LLM integration is a plus.

Responsibilities

• Design and develop scalable backend applications using Python and Node.js.
• Build secure, high-performance RESTful APIs and asynchronous services.
• Lead backend architecture discussions and code reviews.
• Design modular, maintainable software following best practices.
• Develop data processing pipelines for NLP/AI workloads.

Skills

Python

Node.js

REST APIs

GraphQL

API Security

AWS Cloud

Kubernetes

Docker

MySQL

MongoDB

Redis

Elasticsearch/OpenSearch

React.js

Next.js

Education

Bachelor's or Master's degree in CS/SE

Tools

EKS

Job description

We are looking for an experienced Senior Backend Engineer to lead the design and development of scalable, cloud-native backend systems and AI-powered platforms. You will be responsible for architecting highly available microservices, designing APIs, building data processing pipelines, and developing backend systems that support large-scale NLP and AI workloads.

This role requires strong expertise in backend development using Python and Node.js, deep experience with AWS cloud services, and hands-on knowledge of processing large datasets to build enterprise AI solutions. You will work closely with architects, data scientists, frontend engineers, DevOps, and product teams to deliver secure, high-performance applications.

Key Responsibilities

• 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.
  

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.
  
• Performance optimization.
  
• Security best practices.
  
• Disaster recovery planning.
  
• Optimize SQL queries and indexing strategies.
  
• Work with relational and NoSQL databases.
  
• Handle large-scale data migration and processing.
  
• Ensure data integrity, consistency, and high availability.
  
• 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.
  
• 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)
  
• REST APIs
  
• GraphQL
  
• API Security
  

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

• MySQL
  
• MongoDB
  
• Redis
  
• Elasticsearch/OpenSearch (preferred)
  

Requirements

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  
• 5–8 years of experience in backend software development.
  
• Strong experience building cloud-native applications on AWS.
  
• Experience working with large datasets and high-throughput systems.
  
• Hands-on experience deploying production applications to Kubernetes.
  
• Strong understanding of software design patterns and system architecture.
  

Preferred Qualifications

• Design, develop, and maintain scalable backend applications using Python and Node.js.
  
• Experience integrating commercial or open-source LLMs into production systems.
  
• Familiarity with HIPAA, SOC 2, HITRUST, or other regulated environments.
  
• Experience with performance tuning and cost optimization on AWS.