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Backend Java Engineer – Kafka Distributed Systems
Job Location:
Monthly Salary:
Experience Required:
Posted:
19 August 2026 (2 hours ago)
Posted:
Application Deadline:
16 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Backend Java Engineer Kafka / Distributed Systems
Location: Vancouver BC - Hybrid (3 Days WFO)
Key Responsibilities
Design implement and optimize backend services handling high-volume data flows with strict performance and reliability requirements.
Develop Java-based components using modern frameworks (Spring/Spring Boot or equivalent).
Build and maintain asynchronous and event-driven workflows using messaging systems such as MQ/Kafka/RabbitMQ.
Implement performance tuning profiling and observability to support sub-second latency and 99.99% availability goals.
Drive solutioning and system designs for new features integrations and platform enhancements across distributed systems.
Ensure service robustness through automated testing (unit integration load tests) and CI/CD workflows.
Apply secure-by-design principles including threat modeling safe data handling API hardening and least-privilege access.
Implement and support authentication and authorization patterns (e.g. OAuth2 mTLS JWT service-to-service auth).
Participate in architecture reviews offering technical leadership and mentorship to junior engineers.
Diagnose and resolve complex production issues across infrastructure code and messaging layers.
Enhance platform reliability via improved logging monitoring alerting and operational tooling.
Required Qualifications
5 years of hands-on backend development experience in large-scale high-throughput environments.
Strong proficiency in Java (Java 8 multithreading concurrency libraries performance optimization).
Solid understanding of Linux fundamentals (filesystem networking basics shell operations performance tools).
Extensive experience with Message Queue systems (IBM MQ Kafka RabbitMQ ActiveMQ etc.).
Deep knowledge of asynchronous programming non-blocking IO patterns and event-driven system design.
Good understanding of modern network protocols including:
gRPC (service-to-service communication protobuf streaming patterns)
HTTP/2 (multiplexing header compression flow control performance benefits)
Experience implementing and maintaining CI/CD pipelines and DevOps tooling including:
Jenkins
Chef Infra / Chef Habitat
Terraform
PCF CLI
Demonstrated ability to design scalable system architectures and evaluate design trade-offs.
Basic understanding of Authentication/Authorization concepts and secure communication patterns.
Familiarity with containerization and orchestration (Docker Kubernetes) is an asset.
Excellent debugging problem-solving and performance-profiling skills.
Preferred Qualifications
Experience in financial services real-time scoring risk systems or other low-latency domains.
Exposure to observability stacks (Splunk Prometheus Grafana ELK).
Knowledge of DevOps practices automation and additional IaC tools.
Hands-on understanding of reliability engineering (circuit breakers retries backpressure failover strategies).
Ability to lead complex technical initiatives and drive cross-team alignment.
What We Look For
A strong ownership mindset with a passion for delivering secure high-quality and resilient services.
Ability to influence architecture mentor engineers and uplift engineering standards.
Strong communication skills and the ability to work in a fast-paced collaborative environment.
Required Skills:
Sailpoint
