Design, implement, and maintain backend services and APIs to support applications.
Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
Monitor and troubleshoot performance issues in distributed systems and databases.
Write clean, maintainable, and efficient code following best practices for backend development.
Participate in code reviews, testing, and continuous integration efforts.
Ensure security, scalability, and reliability of backend services.
Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
Requirements
Proven experience as a Backend Engineer with a focus on database design and system architecture.
Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
Hands-on experience with Elasticsearch for indexing and searching large datasets.
Proficient in backend programming languages such as Python, Go.
Experience with RESTful API design and development.
Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
Experience with performance tuning, data modeling, and query optimization.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Tech Stack
Cloud
Distributed Systems
ElasticSearch
Microservices
Postgres
Python
Go
Benefits
Compensation for this position includes a base salary, equity, and a variety of benefits.