Java Developer

Cynet systems Inc; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology company is seeking a skilled developer with expertise in Spring Boot and Kafka-based architectures to design and implement microservices. The role requires strong knowledge of Docker, Kubernetes, and cloud services including AWS, Azure, and GCP. Candidates should also be proficient in data pipeline design and have experience with SQL databases. This position is located in Toronto, Ontario.

Skills

Spring Boot Java REST API development

Kafka Based event-driven architectures

Microservices lifecycle design

Docker orchestration

Kubernetes

AWS

Azure

GCP

Python

Scala

Shell Scripting

Apache Spark

Hive

SQL Server

Oracle

MySQL

Snowflake

SQL query optimization

CICD pipelines

Terraform

GitHub

Monitoring microservices

Cloud security

IAM policies

Data pipelines

AWS Glue

Azure Data Factory

Airflow

Snowpipe

Job description

Overview

6 Years of Experience.

Qualifications

• Hands-on expertise in Spring Boot Java REST API development and Kafka Based event-driven architectures.
• Strong understanding of microservices lifecycle design development containerization Docker orchestration Kubernetes and deployment in cloud environments AWS Azure GCP.
• Experience in Python Scala Shell Scripting Apache Spark and Hive.
• Proficient in database integration with SQL Server Oracle MySQL and Snowflake with strong SQL query optimization skills.
• Wellversed with DevOps tools and practices including CICD pipelines using Jenkins Terraform GitHub Docker and Kubernetes.
• Skilled in monitoring troubleshooting and optimizing microservices using Client CloudWatch and logbased analysis.
• Experience in Spring Boot with multiple microservices enabling interservice communication using Kafka asynchronous messaging and HTTPREST APIs. Familiar with gRPC as a generic protocol though not implemented in production
• Deep understanding of cloud security IAM policies VPCs subnets and monitoring using CloudWatch and Client.
• Skilled in designing scalable data pipelines and orchestrating data flow using AWS Glue Azure Data Factory Airflow and Snowpipe.