• At least 3 — 5 years of overall software development experience.
• Solid experience with software design, solutioning complex data architectures.
• Heavy functional programming experience designing, implementation and testing of Scala applications.
• Extensive experience with distributed computing technologies such as Akka, Kafka, Lagom and related technologies.
• Programming experience in SQL, Spark programming etc.
• Ability to conduct software analysis, programming, testing and debugging.
• Deep knowledge in building Java and Scala based microservices.
• Knowledge about cloud-based platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud (GC).
• Significant contribution to open source Scala projects but not a must.
• Any references to GitHub is a major plus.
• Competitive salary based on your experience level
• Full-time work schedule
• Friendly and trustful atmosphere
• Professional and career growth opportunities
• Big goals, challenging work and meaningful feedback
• Opportunity to work and communicate directly with the customers
• Your health support via compensation of sports activities, vacation policy and private medical insurance
• Free English classes
• Modern and comfortable office in the city-center
• Leisure activities in the office
• Bike parking zone
TEAM International is looking for experienced Scala Developers to build a team of 8 in our Kyiv office. The team will be a part of the global development team which currently has 30 developers who are located in Michigan, USA.
You will be working on the development of a cognitive decision making platform that 1) analyses data, 2) creates insights, 3) makes suggestions on actions to take in a variety of industries: Financial, Healthcare, Retail, Insurance, eCommerce, Automotive and Gaming.
It is a reactive distributed system comprised of many intelligent sub-systems, which collaborate with each other to create a cognitive synergy-yielding intelligence that is far beyond the reach of a single sub-system.
The design of the product is based on patent-pending methods built around the concept of an opportunity, and a cognitive decision-making methodology.