Backend Developer - GenAI Systems

Backend Developer - AI Systems

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Location: Mumbai, Pune (or willing to relocate)

Core Qualifications

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- Master's degree in Computer Science with additional certifications in back-end development or cloud computing (AWS Certified Developer, Google Professional Cloud Architect)

- 5+ years of experience building enterprise-grade, distributed back-end systems with fault tolerance and high availability

- Expertise in microservices architecture, event-driven systems, and designing for scalability

- Demonstrated leadership in back-end engineering projects, mentoring junior developers

- Active contributor to open-source back-end frameworks or libraries

Technical Skill Requirements

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Core Development Expertise

- Expert-level skills in server-side languages and frameworks

- Experience contributing to large-scale, distributed applications

- Proven ability to design and maintain complex database architectures

- Expertise in API development for large-scale, secure systems

- Experience with modern architectural patterns (serverless, containers)

- Demonstrated ability to optimize system performance at scale

System Architecture Design

- Expertise in designing enterprise-level, distributed systems

- Experience with advanced architectural patterns (event sourcing, CQRS)

- Proven ability to integrate multiple subsystems

- Designs hybrid cloud and on-premises architectures

- Implements advanced monitoring and alerting systems

- Demonstrated leadership in architectural decision-making

API Development & Integration

- Expertise in designing enterprise-grade APIs for high traffic

- Implementation of API gateways and service meshes

- Design of APIs with multi-language SDKs

- Development of reusable API frameworks

- Experience with cross-cloud and hybrid environments

- Demonstrated success in large-scale API integration

Database Design & Management

- Expertise in architecting enterprise-grade database systems

- Design of highly scalable database architectures

- Implementation of data pipelines for real-time processing

- Proficiency in database governance and compliance

- Experience with multi-cloud database management

- Implementation of cross-region replication

Security & Compliance

- Expertise in designing enterprise-grade security architectures

- Implementation of end-to-end encryption and secure pipelines

- Development of organizational security policies

- Experience with security audits and penetration testing

- Leadership in security best practices

- Recognition as a security thought leader

Cloud Architecture & Infrastructure

- Expertise in enterprise-scale cloud architectures

- Implementation of advanced cloud infrastructure solutions

- Design of highly available and disaster recovery systems

- Development of automated CI/CD pipelines

- Experience with global traffic management

- Proven success in scaling cloud systems

Performance Optimization & Scaling

- Expertise in enterprise-scale system optimization

- Implementation of advanced resource utilization techniques

- Development of automated monitoring systems

- Implementation of predictive scaling strategies

- Experience with global system optimization

- Achievement of industry-leading performance benchmarks

DevOps & CI/CD Pipelines

- Expertise in enterprise-scale DevOps workflows

- Implementation of automated security checks

- Design of self-healing pipelines

- Experience with blue-green/canary deployments

- Leadership in organizational DevOps initiatives

- Establishment of best practices

Multi-Agent System Integration

- Expertise in enterprise-scale multi-agent systems

- Implementation of adaptive agent coordination

- Design of reusable architectural patterns

- Proactive performance optimization

- Innovation in multi-agent architectures

- Integration of cutting-edge technologies

AI/ML Model Deployment

- Expertise in deploying enterprise-scale ML systems

- Implementation of sophisticated deployment strategies

- Development of automated model management frameworks

- Experience with large model fine-tuning

- Leadership in MLOps practices

- Recognition as thought leader in model deployment

Required Tools & Technologies

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- Expert proficiency in server-side languages (Python, Java, Go)

- Advanced knowledge of cloud platforms (AWS, Azure, GCP)

- Experience with container orchestration (Kubernetes)

- Proficiency in database management systems

- Expertise in monitoring and logging tools

- Knowledge of security and compliance frameworks