At least one of the following programming languages:

• Python
• JavaScript
• C# +
• NET
• Java
• Kotlin

Opis oferty 

The leading advisory and IT development service company focused on helping clients build cutting-edge and innovative solutions. SoftServe is about open-minded people who love technology and have an environment where they can craft their personal and professional growth. We understand that the best way to build our future is to help you build yours.

Client’s company provides a cloud-native, artificial intelligence-powered legal solution that simplifies e-discovery, legal document review, and case management for enterprises, law firms, legal services providers, and governments. Our scalable, integrated solution enables legal departments to easily collect, process, and review enterprise data that is relevant or potentially relevant to legal matters.

YOU ARE
A professional Software Engineer strong in

• Python, JavaScript, C#/.NET, Java, Kotlin (at least one)
• Designing and communicating architectural perspectives of well-encapsulated systems (Service-Oriented Architecture, Docker-based Services, microservices) by using Architecture/Design Patterns and Sequence Diagrams
• ‘Big Data’ technologies: Elasticsearch, NoSQL Stores, Kafka, Columnar Databases, Data Flow or Pipeline Systems, Graph Data Stores, data warehouses such as Snowflake
• Domain-Driven Design concepts and practices: bounded contexts, event storming, specification by example
• Design, implementation, and operation of data-intensive, distributed systems ('Designing Data-Intensive Applications' book)
• CI/CD with an emphasis on a well-maintained testing pyramid
• Designing and operating software in AWS, Azure, or GCP
• Even Better If You Have
• Knowledge about algorithm development for intensive pipeline processing systems
• An understanding of how to design and develop from a Security Perspective

Zakres obowiązków

1. DESIGNING AND OPERATING PLATFORM-WIDE SERVICES SUCH AS: 
2. Event Bus and Event Sourcing capabilities that provide business and engineering leverage and efficiencies 
3. Highly scalable and crazy performant search systems 
4. Transactional or eventually consistent stores that provide well-encapsulated domain object semantics 
5. Domain and data modeling that provides efficiency, scalability, and flexibility 
6. Orchestrated scaled-out data pipelines that can leverage serverless and containerized computing 
7. Algorithmically intensive data engines that operate on streaming, large, or multi-tenant datasets