Requirements

A degree in Computer Science or relevant experience.
Understanding of topics like object-oriented programming concepts, software architecture, concurrency.
Knowledge of relational databases, and other approaches to data management.
Interest in data-intensive application development.
Familiarity with the Machine Learning lifecycle.
Extensive familiarity with at least one high-level language, including Java, Kotlin, Python, etc.
Basic understanding of diagnosing and troubleshooting software issues.
Analytical and problem-solving skills.
Vivid interest in at least one area outside of coding (architecture, algorithms, optimization, automation, scalability, etc.)
Strong written and verbal communication skills in English.

Nice to have

Experience in fast-growing tech companies and scaleups.
Past work experience in the field of data engineering, data science or streaming analytics.
Personal coding projects or contributions to open-source projects.
A strong growth mindset and enthusiasm for learning specific technologies used by the team.

Assisting in designing and implementing scalable, robust and innovative solutions for high-traffic platforms.
Contributing to product development roadmap and project execution.
Participating in monitoring and maintaining system health.
Developing software using modern engineering approaches and agile principles.
Making technology and the team scale as the business grows.
Owning deliverables from start to finish and delivering high-quality solutions.