Senior Backend Software Engineer – Node.js & Data

This is not a junior or entry-level position. Candidates should have proven production experience with Node.js backend systems and data-intensive applications.

About the Role

We are looking for a Senior Backend Software Engineer with strong experience in Node.js and data-intensive applications to join our engineering team.

The ideal candidate has hands-on experience building scalable backend systems, working with large and complex datasets, designing high-performance APIs, and integrating multiple external data sources.

This is a senior, hands-on engineering role. We are looking for someone who can take ownership, solve complex backend and data challenges, and contribute to technical architecture decisions.

Work Type: On-site or Remote

Key Responsibilities

• Design and build scalable backend systems using Node.js and TypeScript.
• Develop reliable and high-performance REST APIs.
• Work with large datasets and complex data structures.
• Design, optimize, and maintain MongoDB databases.
• Build data processing, transformation, matching, and normalization workflows.
• Integrate multiple third-party APIs and external data sources.
• Identify and resolve duplicate, inconsistent, or incomplete data.
• Improve API, database, and application performance.
• Build background jobs, queues, caching, and asynchronous processing systems.
• Integrate AI and LLM services into backend applications.
• Troubleshoot complex production and data-related issues.
• Participate in system architecture and technical decision-making.
• Review code and maintain high engineering standards.
• Collaborate with Product, Mobile, Web, Data, and AI teams.

Required Experience

• 5+ years of Backend Software Engineering experience.
• Strong professional experience with Node.js and TypeScript.
• Strong experience with NestJS and/or ExpressJS.
• Strong experience with MongoDB and Mongoose.
• Proven experience working with large or complex datasets.
• Strong understanding of data modeling and database optimization.
• Experience building and optimizing REST APIs.
• Experience integrating multiple third-party APIs and external data sources.
• Experience with Redis and background job processing.
• Experience with BullMQ and/or RabbitMQ.
• Experience with Docker, Git, and CI/CD.
• Good understanding of scalable backend architecture and microservices.
• Strong debugging and performance optimization skills.

Data Engineering Experience

Strong experience in at least some of the following:

• Data ingestion and processing
• Data transformation and normalization
• Entity matching and deduplication
• Large-scale database operations
• Data quality and validation
• ETL / data pipelines
• Scheduled and background data processing
• High-volume API integrations

AI Integration

Experience integrating AI services or LLMs is a strong advantage, including:

• OpenAI / Claude or similar AI APIs
• Function Calling
• Structured Outputs
• RAG
• Embeddings
• Vector Search
• Prompt Engineering

Nice to Have

• Web scraping and data extraction experience.
• Playwright / Puppeteer experience.
• Proxy and anti-blocking solutions.
• AWS and MongoDB Atlas.
• WebSockets.
• Elasticsearch or similar search technologies.
• Experience with recommendation, search, marketplace, food delivery, or comparison platforms.

What We’re Looking For

We are specifically looking for a senior engineer who:

• Has deep hands-on Node.js experience.
• Is comfortable working with large and messy datasets.
• Can solve complex backend and data problems independently.
• Understands scalability, performance, and system architecture.
• Takes ownership from problem definition to production deployment.
• Can review and improve existing architecture and code.
• Can communicate technical decisions clearly with both technical and non-technical teams.