Backend Java Engineer

Our client has an immediate opening for Backend Java Engineer to join their team in Toronto on a 6 months’ contract with probability of further extension.

Required Experience:

Java & Spring Boot Expertise:

5+ years of Java development experience with strong proficiency in Java 8+ features

3+ years’ hands-on experience with Spring Boot framework including Spring Web MVC for RESTful API development

Spring Data JPA/Hibernate for data persistence

Spring Security for authentication and authorization

Spring Boot Actuator for monitoring and management

Experience with Spring Cloudponents (Gateway, Config Server, Service Discovery)

Backend API Development:

Proven track record in designing and developing high-performance RESTful APIs

Experience with microservices architecture and distributed systems

Strong understanding of API versioning, documentation (OpenAPI/Swagger), and testing

Knowledge of asynchronous processing and message queues

Experience with caching strategies (Redis) for high-traffic applications

Dev Ops &

Infrastructure:

CI/CD pipeline experience using tools like Git Lab CI and Jenkins

Proficiency with containerization (Docker) and orchestration (Kubernetes)

Experience with Infrastructure as Code (Terraform, Cloud Formation)

Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK stack)

Cloud platform experience (AWS, GCP, or Azure) with serverless and managed services

Code Quality & Best Practices:

Strong advocate for clean code principles and SOLID design patterns

Experience with Test-Driven Development (TDD) andprehensive testing strategies

Proficiency in code review processes and collaborative development workflows

Knowledge of security best practices for API development (OWASP guidelines)

Experience with static code analysis tools (Sonar Qube, Checkstyle)

AdTech Domain Knowledge:

Previous experience in advertising technology, programmatic advertising, or real-time bidding

Understanding of high-volume, low-latency systems handling millions of requests per second

Experience with data streaming and real-time analytics platforms

Database optimization experience (Big Query) including query tuning

Knowledge of event-driven architecture and event sourcing patterns

Experience with performance profiling and optimization techniques

Familiarity with No

SQL databases (Mongo

DB, Big Table) for specific use cases

Collaboration &munication:

Experience working in Agile/Scrum environments

Strong cross-functional collaboration skills with Dev Ops, QA, and Product teams

Mentoring experience and ability to contribute to technical documentation

Excellent problem-solving skills and ability to troubleshoot production issues

Ability to work in fast-paced, high-availability environments

Strong focus on scalability and performance optimization

Experience with 24/7 production support and on-call responsibilities