Sr. Software Engineer
CAN - Ontario - Toronto, Canada
CAD 130K-165K (estimate) Senior-level Full Time
Tasks
- Analyze performance bottlenecks
- Architect scalable AI applications
- Automate LLM refactoring
- Build AI augmented features
- Build automated test suites
- Conduct architectural reviews
- Deliver operational excellence
- Design and develop big data processing solutions
- Design resilient enterprise solutions
- Develop debug and troubleshoot code
- Elicit analyze and refine technical requirements
- Engineer backend logic
- Ensure security protocols
- Identify remediate system impediments
- Implement high concurrency applications
- Implement microservices
- Implement serverless computing
- Integrate proprietary systems
- Maintain data analytics platform performance
- Optimize system efficiency
- Oversee application deployment
- Participate in agile ceremonies
- Perform root cause analysis
- Produce technical documentation
- Provide application lifecycle support
- Translate business requirements into technical solutions
- Triage critical product issues
- Use infrastructure as code
- Validate system functionality
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agentic Frameworks | Agile | Airflow | Apache Beam | Automated testing | BigQuery | Bigtable | Cause analysis | Cloud Technology | Cloud platform | Composer | Context engineering | Continuous integration | Dataflow | Docker | GCS | GitHub Copilot | Google Cloud | Google Cloud Platform | Gradle | Infrastructure as Code | J2EE | Java | Java EE | LLM refactoring | Langchain | Langgraph | Language Models | Large Language Models | Maven | Microservices | Performance Engineering | PostgreSQL | PubSub | Python | REST API | Root Cause Analysis | Root cause | SQL | Serverless | Spring Boot | Technical documentation | “as-code”
Education
N/A
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