Job Opportunities

Senior Backend Engineer (Python & Node.js)

Job Description:

We are looking for a hands-on Senior Backend Engineer to architect, design, and deliver scalable, high-performance systems while mentoring a growing team of engineers. This role requires a technical authority who can bridge the gap between strategic vision and practical execution, ensuring all solutions align with business objectives.

Key Responsibilities

Technical Leadership & Mentoring
- Lead a team of 8-10 engineers, providing technical guidance and fostering a culture of excellence.
- Conduct deep-dive code reviews to enforce engineering standards and best practices.
- Mentor junior developers through technical challenges and personalized growth plans.

Architecture & System Design
- Own the backend architecture, designing scalable microservices and distributed systems.
- Implement event-driven architectures and real-time data streaming pipelines.
- Translate complex product requirements into robust technical designs and execution plans.

Hands-on Development
- Maintain high individual output (approx. 70-80% coding/architecture) by building mission-critical modules.
- Develop and oversee RESTful and asynchronous APIs using Node.js and Python frameworks (e.g., Express, Fast API, Django).
- Perform performance profiling to identify bottlenecks in the event loop or database queries.
- ML AND AI integration

Collaboration & Quality
- Partner with Product Managers, DevOps, and Frontend teams to deliver end-to-end features.
- Drive CI/CD automation, TDD, and rigorous testing standards to ensure production readiness.
- Oversee cloud infrastructure on platforms like AWS, Azure, or GCP.

Required Skills & Qualifications

- Experience: 5–12 years in backend development, with at least 2 years in a leadership or senior role.
- Core Languages: Expert proficiency in Python (Django/Flask/FastAPI) and Node.js (Express/NestJS).
- Architecture: Deep understanding of microservices, distributed systems, and messaging patterns like Kafka or RabbitMQ.
- Databases: Hands-on expertise with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems.
- Infrastructure: Proficiency in Docker, Kubernetes, and cloud-native services (ECS, Lambda, S3).
- Soft Skills: Exceptional communication, proactive problem-solving, and a "Security by Design" mindset.