Inshorts- Backend Developer
1 week ago
Company - Inshorts
Role - Backend Developer
Location- Noida
Company Profile :
Inshorts is a leading tech company specializing in short-format informational content. Our platform delivers concise and engaging news stories and hyperlocal updates to users in a variety of formats.
Role: Backend Developer
We are seeking a skilled Backend Developer with experience in AI tools and data management to join our team and build robust, scalable, and intelligent backend systems. You will be responsible for designing, developing, and maintaining APIs, data pipelines, and AI-driven services.
Responsibilities
● API Development: Design, develop, and maintain RESTful and/or GraphQL APIs for seamless data exchange.
● AI Integration: Integrate AI/ML models and services into backend systems to enhance application functionality.
● System Architecture: Design and implement scalable and reliable backend architectures.
● Performance Optimization: Identify and resolve performance bottlenecks to ensure optimal system performance.
● Code Quality: Write clean, well-structured, and maintainable code adhering to best practices.
● Database Management: Design and optimize database schemas and queries.
● Cloud Services: Utilize cloud platforms (e.g., AWS, GCP, Azure) for deployment and management of backend services.
● Collaboration: Work closely with data scientists, front-end developers, and product managers to deliver integrated solutions.
Requirements
● 2-4 years of backend development experience, with a strong understanding of microservices architecture.
● Btech/Mtech/MS in Computer Science or related field.
● Proficiency in Go or Java.
● Experience with relational/NoSQL databases, data pipelines, and Git.
● Proficiency in containerization (Docker, Kubernetes) and caching mechanisms (Redis/Memcached)
● Basic Python knowledge.
● Strong problem-solving and communication skills.
Preferred Qualifications
● Experience with AI/ML frameworks (e.g., Langchain, LangGraph, LLTensorFlow), cloud-based AI services, and message queues (e.g., Kafka, RabbitMQ).
● Knowledge of data warehousing/ETL.
● Experience with performance monitoring tools and serverless architectures.
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