Requirements

Computer Science degree and/or 6+ years of relevant work experience
Excellent understanding of OOP, Functional Programming, and Typed Languages (Java or Scala); familiarity with/interest in LLM frameworks and Python is a plus
Strong algorithm, logical and problem-solving skills
Experience with writing maintainable, secure and performant code
Ability to learn and apply new technologies
Ability to take initiative to address technical challenges, self-motivation, continuous improvement approach
Dedication to delivering high-quality products, demonstrating accuracy and thoroughness both in testing and code development
Experience with cloud services platforms (AWS and/or Azure) is desirable
Experience with building, delivering, and operating high-quality SaaS solutions: testing, CI/CD, monitoring, infrastructure as code
Experience using data-intensive processing frameworks and technologies: Spark, Flink, Kafka Streaming, Hadoop, HBase, MapReduce, Kafka; operational experience is a plus
Excellent interpersonal skills. Excellent English verbal and written communication skills. Highly collaborative working style.

What you'll be doing

Transform business requirements into feature specifications
Build and maintain high-performance, scalable solutions
Be involved in all product development and delivery stages as part of a unified engineering team: build, coding, code review, unit testing, bug fixing, operations
Perform on-call activities, on rotation with the rest of the team
Be part of an agile, highly collaborative, and passionate team developing new products and features
Research various technologies useful for the project and stay up to date with the evolution of the Analytics market
Improve your technical and collaboration skills