**Responsibilities**:- Design and development of core Java- Design, support and continuously enhance the developed codebase, continuous integration pipeline, etc.- Interact with a variety of teams including Cloud infrastructure-, Data Science-, ML- and Big Data engineering teams**Requirements**:- Expertise in Java development- Proficient in Scala- Hands-on experience with Kafka or equivalent messaging system- Solid understanding of big data fundamentals and concepts- Experience designing highly reliable and low latency Microservices- Strong verbal and written English communication skills**Nice to have**:- Predictive analytics experience- Feature engineering- AWS experience- Kubernetes- Cassandra or equivalent database- Spark experience- Lead experience**What we offer**:- Opportunity to work on bleeding-edge projects- Work with a highly motivated and dedicated team- Competitive salary- Flexible schedule- Benefits program- Medical insurance- Professional development opportunities**About Us**:Grid Dynamics is a leading provider of technology consulting, agile co-creation, scalable engineering, and data science services for Fortune 500 corporations undergoing digital transformation.We work in close collaboration with our clients on digital transformation initiatives that span strategy consulting, early prototypes, and enterprise-scale delivery of new digital platforms. We help organizations become more agile and create innovative digital products and experiences using deep expertise in emerging technology, top global engineering talent, lean software development practices, and high-performance product culture.Headquartered in Silicon Valley with over 2,000 technologists located in engineering delivery centers throughout the US, Central, and Eastern Europe, Grid Dynamics has architected and delivered some of the most extensive digital transformation programs in the retail, technology, and financial sectors to help its clients win market share, shorten time to market and reduce costs of digital operations on a massive scale.