Archived listing. The details below describe a past opening.
Summary:
We are seeking a Senior Software Engineer for a hybrid opportunity in Vancouver, Canada. This role is primarily focused on backend software development using Java, with an emphasis on problem solving, coding, system design, and building high-performance backend applications supporting AI inferencing and model deployment.
Here are some of the specific details:
Job Title: Senior Software Engineer
Job Location: Vancouver, Canada – Hybrid (3 days onsite)
Duration: 12 Months Contract – Potential Extension
Pay Rate: $71.00/hr T4
Top Skills
- Strong Java backend development experience
- Excellent problem-solving and analytical skills
- Strong coding and software engineering fundamentals
- Experience with system design and architecture
- Experience with Spring/Spring Boot and backend services
- Strong Git/GitHub and repository management experience
Primary Responsibilities
- Design, develop, and maintain high-performance backend applications using Java and Spring
- Analyze complex problems, break down requirements, identify edge cases, and develop effective solutions
- Contribute to system design, architecture discussions, and technical trade-off decisions
- Develop scalable backend services and APIs
- Collaborate with engineering teams to define requirements and deliver production-ready solutions
- Participate in code reviews, testing, automation, and CI/CD activities
- Troubleshoot production issues and analyze application performance, latency, and scalability
- Take ownership of technical workstreams and work independently at a senior level
- Support backend services related to AI inferencing and model deployment
Preferred Skills
- gRPC
- Kubernetes
- Docker
- AWS/Azure or other cloud platforms
- SQL/Oracle
- Microservices and distributed systems
- Jenkins/CI/CD
- Experience with production troubleshooting and performance optimization
AI Experience:
AI/ML model development experience is not required. The role is primarily focused on backend engineering supporting AI inferencing and model deployment. Strong software engineering, problem-solving, and system design skills are the primary focus.
