AI-Powered Data Processing Expert

6 days ago

erode, India beBeeBackend Full time

Backend Software ArchitectAs a seasoned Backend Engineer at our organization, you will have the opportunity to design and implement scalable backend services that process high volumes of data efficiently.Key Responsibilities:Design and build large-scale backend systems that ensure reliable and efficient data processing.Develop and optimize event-driven architectures and asynchronous processing pipelines.Build and maintain APIs that power our product suite.Implement robust data storage patterns for multi-tenant environments, ensuring performance, security, and isolation.Collaborate with our ML/AI team to integrate AI capabilities into production systems.Design monitoring and alerting systems to ensure high availability and rapid incident response.Contribute to security best practices including authentication, authorization, and secure credential management.Participate in architecture decisions and help establish engineering standards as the team grows.Debug and resolve production issues across distributed systems.Requirements:Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.5+ years of backend engineering experience, with significant work on production systems at scale.Strong proficiency in Python or similar backend languages.Experience with cloud platforms and serverless architectures.Solid understanding of NoSQL databases, data modeling, and query optimization.Experience building and consuming RESTful APIs.Familiarity with event-driven architectures, message queues, and asynchronous processing patterns.Understanding of security fundamentals: authentication, encryption, secrets management.Ability to work independently and drive projects to completion.Preferred Skills:Experience building multi-tenant SaaS platforms.Familiarity with infrastructure-as-code and CI/CD pipelines.Experience integrating with third-party APIs and OAuth flows.Knowledge of cost optimization strategies for cloud infrastructure.Experience with billing systems and subscription management.Background in processing text data or working alongside ML/NLP systems.Familiarity with observability tools and distributed tracing.Experience mentoring engineers and contributing to engineering culture.Why Join Our Team?Work on interesting challenges: high-volume data processing, AI integration, real-time alerting.Join a small team where your architectural decisions shape the platform's future.Enjoy the flexibility and autonomy of a fully remote position.Build infrastructure that helps thousands of product teams understand their users better.

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