Lead Java Developer

Cynet systems Inc; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading tech company in Toronto, Ontario, is looking for an experienced developer with strong expertise in Spring Boot and Java REST APIs. The ideal candidate should have a solid understanding of event-driven architectures and containerization using Docker and Kubernetes. Familiarity with cloud platforms such as AWS, Azure, and GCP, as well as experience with DevOps tools, is essential. This role focuses on designing and optimizing microservices in a dynamic tech environment.

Qualifications

• 6 years of experience in software development.
• Hands-on expertise in Spring Boot and microservices.
• Strong understanding of DevOps practices.

Skills

Spring Boot Java REST API development

Event-driven architectures

Containerization Docker

Orchestration Kubernetes

Cloud environments (AWS, Azure, GCP)

Python

Scala

Shell Scripting

Apache Spark

Hive

SQL query optimization

DevOps tools

Monitoring and troubleshooting microservices

Tools

AWS Glue

Azure Data Factory

Apache Airflow

Snowpipe

Jenkins

Terraform

GitHub

Job description

Job Description

• 6 Years Experience.
• Handson expertise in Spring Boot Java REST API development and Kafkabased eventdriven 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.