Regular Java Developer

Luxoft; Toronto; On-site; CAD 90,000 - 115,000; Full time

Job summary

A multinational technology company in Ontario is looking for a developer to enhance its Liquidity Risk platform. This role involves developing new functionalities while collaborating with teams globally. Candidates should have expertise in Java and SQL, alongside experience in containerization technologies like Docker and Kubernetes. The compensation offered is competitive, ranging from 90,000 to 115,000 CAD gross annually.

Qualifications

• 4+ years of experience in Java development with version 17 or higher.
• Proficiency in advanced SQL querying and optimization.
• Understanding of both OOP and Functional design approaches.

Responsibilities

• Develop new functionality for the Liquidity Risk platform.
• Collaborate with global teams to ensure platform effectiveness.

Skills

Java 17+

UNIX Shell

Gradle

SQL

Relational databases

Docker

Kubernetes

Job description

Overview

We are working on building Liquidity Risk platform for one of US banks. Our team is growing and we have a need in additional developer that will help in building Core part of platform. Our platform helps the bank to increase efficiency and scalability, reduce operational risk and eliminate the majority of manual interventions in processing margin calls.

Responsibilities

The candidate will work on development of new functionality for Liquidity Risk platform closely with other teams over the globe.

Compensation

90000 - 115000 CAD Gross Per Year

Mandatory Skills

• Java 17+ (4 years+), UNIX Shell;
• Gradle;
• SQL (advanced querying, optimization, stored procedures);
• Relational databases (Oracle, PostgreSQL, SQL Server);
• Data warehousing concepts (Star/Snowflake schema);
• Docker and Kubernetes containerization;
• Understand difference between OOP (SOLID principles) and Functional design approach, understand what is event driven architecture;
• Understand transactions level isolation in RDBMS and MapReduce pattern in BigData.

Nice-to-Have Skills

• Apache Hadoop, Spark, Hive ecosystems;
• Apache Kafka for data streaming;
• Apache Airflow or similar workflow orchestration;
• Parquet, Avro, or other columnar data formats;
• CI instruments: TeamCiti/Jenkins, uDeploy
• Experience with complex deployment infrastructures
• Knowledge in software architecture, design and testing