June 5
• Design, develop, and maintain high-performance data-intensive applications using Python, Go, and C++, focusing on event-driven architectures • Implement and optimize queue mechanisms and tools to manage high-volume data streams effectively • Collaborate with cross-functional teams to ensure seamless integration of event-driven systems within the larger application infrastructure • Optimize data processing workflows for efficiency and reliability in handling large datasets • Identify and resolve performance bottlenecks in data-intensive applications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • +5 years of experience in software development with a strong focus on data-intensive applications • Expertise in Python, Go, and C++ programming languages • Proven experience with event-driven architecture and queue tools like Kafka, RabbitMQ, or similar • Proficient understanding of distributed systems, data structures, and advanced algorithms • Experience with database technologies (Postgres, Scylla, Mongo, Redis)
• Experience developing high-performance data-intensive applications • Opportunity to work with cutting-edge technologies and data-driven architectures • Collaborative and innovative work environment • Competitive compensation and benefits package
Apply NowApril 18
Senior Software Engineer for Chainlink Labs powering blockchain integrations.
March 20