Position: Middle Java Developer
Company: YayPay
Experience required: 2y
Category: Java
English level: upper
Published: 2022-04-01T00:00:00+03:00

**Hard skills:**

Production Experience in integration with enterprise systems using REST/SOAP API or CSV 2+ years of commercial software engineering experience Strong Knowledge of Java Core / Java EE experience (11 is preferable but not required) Understanding and practical knowledge with the development of Multi-Tiered Distributed Architecture, SOA, and Microservices.

Strong knowledge of SQL/RDBMS (MySQL is preferable but not required) Understanding multithreading and concurrency

Understanding of the following technologies:

— Spring framework (Boot, Core, Web, Data, Cloud, AOP, JDBC, Test)

— Hibernate ORM or JooQ

— JMS/AMQP knowledge

— Apache Kafka

— Web services (SOAP, REST, etc.)

— XML/JSON

— Maven or Gradle

— Git

ERP/CRM integration experience is considered an advantage

**Soft Skills:**

2+ years experience of leading a team of 3+ people
Sensitive to details, thought able to see the complete picture
Result oriented
Able to delegate efficiently
Able to take decisions in ambiguity and take responsibility for them
Ability to take responsibility for another teammate
Good mediator
Effective communicator
Positive attitude carrier and distributor
Responsibilities:

The Team Leader responsibility would be to manage the team of Developers and QA that will be designing and maintaining Connectors between YayPay and different finance and sales systems (mainly ERP and CRM systems).

Advantage of taking active part in new team forming process. Do connector development and act as subject matter expert in technologies for the team. In addition to that, team leader will be involved in the development and improvements of different areas of YayPay product in general, as well as the underlying integration framework that allows scaling integrations components dynamically based on the load.

You will also be collaborating with the global international teams, including the Implementations team, Customer Succes, Product, and other Engineering teams.


**We offer:**

Perks & Benefits:

Flexible working hours
Possibility of working home or anywhere
Paid vacation and sick leave
Medical insurance
The anonymous psychological assistance program
Personal and professional development compensation
Access to online training platforms, such as language courses and Linkedin Learning
Career and leadership development
Employee referral bonuses
Team-building activities
Comfortable office with a convenient location and free parking
About Project

YayPay is building a cutting-edge accounts receivable management software that uses machine learning to help finance teams become revenue heroes. YayPay’s vision to help finance teams perform their most valuable work. We’re a rapidly growing company at the forefront of back-office automation, AI, and machine learning. YayPay is also one of the leaders of the industry in terms of user experience and consumerization of enterprise software.

From the technology perspective, YayPay Platform is a SaaS offering, which integrates with a number of different systems, such as:

— ERP systems to pull accounts receivable data from (e.g. NetSuite, Intacct, Sage X3 etc.

— CRM systems, like SalesForce to pull and push relevant customer information

— Payment Providers to allow CreditCard and ACH to be made through the platform

— Credit Providers like CreditSafe to pull credit information

The application currently undergoes the phase of the active new feature development — we are working on building new modules: Reporting & Analytics Module, Credit Module, Cash Application Module and actively extending Integrations.

The application is built on Service-Oriented Architecture, with the use of Kubernetes and technologies around it.

**The main technology stack is described below:**

— Back-End: Java 11, Spring Framework, Hibernate, MySQL, Kafka, Exasol

— Front-End: VueJS and KendoUI

— Machine Learning: Python and relevant machine learning libraries are used for the ML services

— Hosting: the application is hosted on AWS, with extensive use of the native AWS services