Position: Java Engineer, Investment Management Solutions
Company: Dataart
Experience required: 3y
Category: Java
English level: intermediate
Published: 2021-11-01T00:00:00+02:00

✅About the vacancy

Our client is one of the world’s top 10 investment companies with headquarters in Great Britain. The IT environment of this company is constantly growing: there are around 30 programs and more than 60 projects actively developing at present time. All of the systems are integrated with each other. To synchronize delivery the customer uses SAFe methodology and release trains.

This solution is a portfolio management solution for retail customers. It provides the functionality for retail customers to manage their private and pension investments and view reports.

📌The project is a golden standard for our client: it uses the latest technologies, microservice architecture, native images when needed and has all the necessary scrum artefacts.

✅Responsibilities

- Translate application storyboards and use cases into functional applications
- Design, build and maintain efficient, reusable, and reliable Java code
- Ensure the best possible performance, quality, and responsiveness of the applications
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and automatization
- Participate in Scrum ceremonies (stand up, planning, demo, retrospective sessions), estimation sessions and requirement clarification meetings
- Cover production code with automated tests (unit and integration tests)
- Review code

✅Must have

- 4+ years of experience in developing commercial applications on the Java platform
- Experience with Java streams, Spring, Spring MVC, and Spring Boot
- Experience with microservice architectures
- Practical experience with PostgreSQL
- Basic understanding of web services, RESTful API
- Basic understanding of design patterns
- Good spoken English

✅Would be a plus

- Knowledge and experience with OpenShift and Kubernetes
- Experience with ELK or similar stack
- Experience with AWS Lambda
- Experience with Quarkus
- Experience with Kafka
- Experience in the Finance domain or CFA certification
- Experience in individual investments