Founded in 2013 by entrepreneurs with deep expertise in blockchain, big data, and financial infrastructure, our client solves some of the most prevalent challenges in the financial industry. The client is based in Silicon Valley with sales offices in New York and London.


The client’s platform enables financial institutions to perpetually synchronize their data across multiple internal and external systems guaranteeing data and process integrity. The platform simplifies reconciliation, automates exception processing, and provides greater end-to-end operational visibility across workflows in real-time.


Our expectations



  • Strong understanding of Java core;
  • Strong understanding of basic algorithms and data structures;
  • Experience with distributed computing: Spark is preferred;
  • Experience with analytics engines: Elasticsearch is preferred;
  • Experience with NoSQL databases: Cassandra is preferred;
  • Strong communication skills and problem-solving mindset;


Nice to have:


  • Experience with AWS;
  • Experience with Jenkins;
  • Understanding of CI/CD patterns;
Job requirements

To work in a highly interactive, flexible and team-oriented environment it’s important to:


  • Have excellent communication skills;
  • Have IIntermediate English;
  • Have strong analytical skills and be comfortable asking questions to ensure understanding;
  • Be able to improve software platform using new tools, frameworks, and technologies, determine what kind of solutions is needed most for the particular case;
  • Be ready to learn new development areas;
  • Understand the products, services, and features;


Preferred education: Computer Science or Applied Mathematics.

  • designing and developing BigData processing framework;
  • implementing data structures and business logic algorithms;
  • ensuring robust and reliable data processing pipelines
  • providing end-to-end feature validation;
  • improving system performance and scalability;
  • visiting Silicon Valley (California) to meet customers and discuss product development a couple of times a year;
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