We are seeking a Backend Developer with a deep understanding of web application architecture, server-side programming, and a passion for optimizing backend systems. The ideal candidate will thrive in a collaborative environment and bring a wealth of experience to help maintain and improve the performance of our backend systems, ensuring high availability, scalability, and reliability.
As a Backend Developer, you will play a key role in developing and maintaining robust, efficient, and scalable Python-based backend systems. This includes building and optimizing data storage solutions, implementing APIs, and managing databases using clean and maintainable code. Youll be part of a dynamic team dedicated to solving complex technical challenges and delivering solutions that meet client and team requirements.
Role:
Build and optimize Python-based backend services and APIs to deliver real-time content recommendations with low latency across multiple data centers.
Handle large-scale data processing and ensure the performance and scalability of backend systems.
Design and implement efficient data storage and retrieval mechanisms using databases like PostgreSQL, MySQL, and NoSQL systems (Redis, Elasticsearch).
Integrate with cloud platforms (AWS, GCP, or similar) to deploy and manage backend services, ensuring high availability and fault tolerance.
Collaborate with cross-functional teams to understand business requirements and translate them into effective backend solutions.
Write clean, maintainable, and well-documented Python code that adheres to industry best practices.
Stay up-to-date with emerging technologies and trends in backend development, and continuously improve the backend stack.
As a Backend Developer, you will play a key role in developing and maintaining robust, efficient, and scalable Python-based backend systems. This includes building and optimizing data storage solutions, implementing APIs, and managing databases using clean and maintainable code. Youll be part of a dynamic team dedicated to solving complex technical challenges and delivering solutions that meet client and team requirements.
Role:
Build and optimize Python-based backend services and APIs to deliver real-time content recommendations with low latency across multiple data centers.
Handle large-scale data processing and ensure the performance and scalability of backend systems.
Design and implement efficient data storage and retrieval mechanisms using databases like PostgreSQL, MySQL, and NoSQL systems (Redis, Elasticsearch).
Integrate with cloud platforms (AWS, GCP, or similar) to deploy and manage backend services, ensuring high availability and fault tolerance.
Collaborate with cross-functional teams to understand business requirements and translate them into effective backend solutions.
Write clean, maintainable, and well-documented Python code that adheres to industry best practices.
Stay up-to-date with emerging technologies and trends in backend development, and continuously improve the backend stack.
Requirements:
At least 3 years of solid experience in Backend Engineering
At least 3 years of experience with cloud platforms like AWS, GCP, or Azure.
At least 2 years of solid experience with containerization and orchestration tools like Docker and Kubernetes.
Strong proficiency in Python and a deep understanding of Python web frameworks (e.g., Flask, FastAPI, Tornado).
Experience working with NoSQL technologies (e.g., Redis, Elasticsearch) for high-performance data storage and retrieval.
Experience with cloud services (AWS, GCP, Azure) and cloud-native architectures.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
In-depth experience with backend APIs and microservices architectures.
Ability to optimize and troubleshoot complex systems for performance and efficiency.
Strong knowledge of data structures, algorithms, and distributed systems.
Excellent communication skills and a collaborative mindset.
At least 3 years of solid experience in Backend Engineering
At least 3 years of experience with cloud platforms like AWS, GCP, or Azure.
At least 2 years of solid experience with containerization and orchestration tools like Docker and Kubernetes.
Strong proficiency in Python and a deep understanding of Python web frameworks (e.g., Flask, FastAPI, Tornado).
Experience working with NoSQL technologies (e.g., Redis, Elasticsearch) for high-performance data storage and retrieval.
Experience with cloud services (AWS, GCP, Azure) and cloud-native architectures.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
In-depth experience with backend APIs and microservices architectures.
Ability to optimize and troubleshoot complex systems for performance and efficiency.
Strong knowledge of data structures, algorithms, and distributed systems.
Excellent communication skills and a collaborative mindset.
This position is open to all candidates.
