Golang Engineer, Kaiko

• If you’re interested in building high-performance systems for financial data processing, join our team!
• Bachelor's degree in Engineering, Computer Science, or a related field
• Strong experience developing backend services, data pipelines, and microservices using multiple programming languages
• Familiarity with Rust and a willingness to work with it
• Knowledge of other programming languages such as Python, or JavaScript
• Experience with distributed databases and strong knowledge of low-level system details
• Proficiency in concurrent programming, Go routines, and Go’s built-in data structures
• Experience with databases (SQL and/or NoSQL) and query optimization
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure
• Knowledge of CI/CD pipelines and automated testing frameworks
• Familiarity with monitoring and logging tools to maintain system health and performance
• Experience with containerization and orchestration tools like Docker and Kubernetes
• Strong problem-solving skills and the ability to analyze complex system interactions
• Ability to challenge and improve the design of new or existing products while effectively communicating trade-offs and benefits to the product team
• Strong communication and collaboration skills

Desirable

• You’ll be responsible for designing, developing, and testing solutions for market data analysis, pricing models, and risk management
• Your work will involve optimizing distributed data architectures, implementing financial algorithms, and improving existing systems to handle real-time and historical financial data efficiently
• You’ll also conduct market research, analyze large datasets to solve complex engineering and financial problems, and stay up-to-date with the latest trends in quantitative finance and technology
• Develop and maintain scalable, high-performance backend services and APIs using Go
• Collaborate with cross-functional teams, including product managers and quantitative researchers, to design and implement robust solutions for financial and market data
• Implement and maintain data pipelines that handle real-time and historical market data, ensuring accuracy, reliability, and performance
• Apply financial knowledge to develop and improve pricing models, derivatives processing, and risk management tools
• Available to provide on-call technical support, ensuring timely resolution of critical issues and maintaining operational continuity
• Participate in code reviews, providing and receiving constructive feedback
• Troubleshoot and debug applications to ensure optimal performance and user experience
• Stay updated with the latest trends in financial technology, market data processing, and relevant programming languages
• Testing: test the product at every stage, from its prototype to the sample released to the market
• Contribute to continuous improvement initiatives by designing upgrades and improvements to data infrastructure and processes
• Creating detailed technical documentation, including specifications, test plans, and reports to document every stage of the product development process

• Call with the People team (20 min)
• Interview with the Hiring Manager (45-60 min)
• Technical test / Business Case/ Technical Interview (60-90 min)
• Cross team interviews with 2-3 team members (30 min)
• Offer, reference check