Back-End Engineer

Annova Solutions Pvt Ltd; Indore District; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Annova Solutions Pvt Ltd in Indore, India, is seeking a Senior Backend Engineer to lead the design and development of scalable, cloud-native backend systems and AI-powered platforms.

You will architect microservices, design APIs, build data pipelines, and collaborate with data scientists, frontend engineers, DevOps, and product teams to deliver secure, high-performance applications. Expertise in Python and Node.js, AWS, and processing large datasets is essential.

Qualifications

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

Responsibilities

• Design and develop scalable backend applications using Python and Node.js.
• Build secure, high-performance RESTful APIs and asynchronous services.
• Design modular, reusable software following industry best practices.
• Lead backend architecture discussions.
• Optimize performance, scalability, and reliability.
• Design and implement large-scale document/data processing pipelines.
• Build backend systems for AI/NLP workloads and integrate LLMs.
• Collaborate with AI/ML engineers to deploy production models.
• Ensure security and cost-effective operations.

Skills

Python

Node.js

AWS

NLP

Microservices

REST APIs

Kubernetes

TypeScript

GraphQL

Education

Bachelor's or Master's in Computer Science / related field

Tools

Docker

Kubernetes

Terraform

AWS CloudFormation

Job description

Job Summary

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 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

• 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

• VPC
• Route 53
• Elastic Load Balancer
• Auto Scaling
• SQS
• SNS
• AWS Secrets Manager

Databases

• PostgreSQL
• MySQL
• MongoDB
• Redis
• Elasticsearch/OpenSearch

Required Qualifications

• Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.
• 5-8 years of experience in backend software development.
• Proven experience designing scalable distributed systems.
• 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 building AI-driven enterprise platforms.
• Experience developing NLP applications.
• Experience integrating commercial or open-source LLMs into production systems.
• Familiarity with HIPAA, SOC 2, HITRUST, or other regulated environments.
• Experience designing multi-tenant SaaS platforms.
• Experience with performance tuning and cost optimization on AWS.