Senior Backend Engineer

• Design and implement scalable backend services and APIs using TypeScript/Node.js to support our developer-focused platform.
• Build robust data pipelines and processing systems to handle complex code analysis workflows and large-scale datasets.
• Develop and optimize backend architecture to ensure high performance, reliability, and scalability as our platform grows.
• Implement efficient data models and database schemas to support complex code relationship analysis and developer insights.0. m,
• Create comprehensive testing frameworks and monitoring systems to ensure system reliability and performance.
• Collaborate closely with our AI/ML team to integrate advanced algorithms and models into production backend systems.
• Optimize backend services for low-latency responses and high-throughput data processing.
• Contribute to engineering best practices, code reviews, and technical decision-making across the platform.

• 5+ years of experience as a backend engineer, with strong expertise in TypeScript/Node.js and modern JavaScript ecosystem.
• Proven experience in building and scaling backend services, APIs, and data processing systems.
• Solid understanding of data engineering fundamentals, including pipeline development and data modeling.
• Experience with both relational databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Redis).
• Track record of developing and deploying SaaS applications with focus on performance and reliability.
• Proficiency with backend frameworks such as Express, Fastify, NestJS, or similar TypeScript-first frameworks.
• Familiarity with cloud environments (AWS, GCP, Azure) and associated services for data processing and application deployment.
• Understanding of backend architecture patterns, software design principles, and scalability considerations.
• Experience with testing frameworks (Jest, Mocha) and establishing robust testing practices.
• Strong analytical and problem-solving skills with attention to performance optimization.
• Excellent communication abilities and aptitude for collaborative, cross-functional teamwork.
• Enthusiasm for continuous learning and staying current with backend development trends and technologies.
• Leadership skills

Nice to have

• Experience working with AI/ML systems or integrating machine learning models into backend services.
• Knowledge of graph databases or experience with complex data relationship modeling.
• Familiarity with containerization (Docker, Kubernetes) and DevOps practices.
• Understanding of microservices architecture and distributed systems.
• Experience with message queues, event-driven architecture, and real-time data processing.
• Previous experience in developer tools, code analysis platforms, or similar technical domains.

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