Back-End Engineer

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.

• 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.
  

• 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.
  
• Infrastructure automation.
  
• Performance optimization.
  
• Cost optimization.
  
• Security best practices.
  
• Disaster recovery planning.
  

• 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.
  

• 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.
  

• Python (Expert)
  
• Node.js (Expert)
  
• JavaScript / TypeScript
  

• REST APIs
  
• GraphQL 
  
• Microservices Architecture
  
• Event-Driven Architecture
  
• Message Queues
  
• Asynchronous Processing
  
• API Security
  
• Authentication & Authorization (OAuth2, JWT)
  

• React.js
  
• Next.js
  

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
  

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

• Bachelor's or Master's 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.
  

• 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.