


Backend Engineer - Python
Location
Bangalore, India
Experience Required
2-3 years minimum
Job Overview
We are seeking a skilled Backend Engineer with expertise in Python to join our engineering team. The ideal candidate will have hands-on experience building and maintaining enterprise-level, scalable backend systems.
Key Requirements
Technical Skills
CS fundamentals are must (CN, DBMS, OS, System Design, OOPS) • Python Expertise: Advanced proficiency in Python with deep understanding of frameworks like Django, FastAPI, or Flask
• Database Management: Experience with PostgreSQL, MySQL, MongoDB, and database optimization
• API Development: Strong experience in designing and implementing RESTful APIs and GraphQL
• Cloud Platforms: Hands-on experience with AWS, GCP, or Azure services
• Containerization: Proficiency with Docker and Kubernetes
• Message Queues: Experience with Redis, RabbitMQ, or Apache Kafka
• Version Control: Advanced Git workflows and collaboration
Experience Requirements
• Minimum 2-3 years of backend development experience
• Proven track record of working on enterprise-level applications
• Experience building scalable systems handling high traffic loads
• Background in microservices architecture and distributed systems
• Experience with CI/CD pipelines and DevOps practices
Responsibilities
• Design, develop, and maintain robust backend services and APIs
• Optimize application performance and scalability
• Collaborate with frontend teams and product managers
• Implement security best practices and data protection measures
• Write comprehensive tests and maintain code quality
• Participate in code reviews and architectural discussions
• Monitor system performance and troubleshoot production issues
Preferred Qualifications
• Knowledge of caching strategies (Redis, Memcached)
• Understanding of software architecture patterns
• Experience with Agile/Scrum methodologies
• Open source contributions or personal projects

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It is a US based startup founded in 2018 to build an edge data platform for the autonomous world.Rich data in large volumes is getting collected at the edge (outside a data center) in use cases like autonomous vehicles, smart manufacturing, satellite imagery, smart retail, smart agriculture etc.These datasets are characterized by being unstructured (images/videos), large size (Petabytes per month), distributed (across edge, on-prem and cloud) and form the input for training AI models to get to higher degrees of automation. It is engaged with building products that solve these unique challenges and be at the forefront of this edge data revolution.
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Although salary is not a constraint for a deserving candidate
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