Senior Backend Java ML Engineer- Canada
at Rackspace
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Oct, 2024 | Not Specified | 31 Jul, 2024 | 8 year(s) or above | Gradle,Continuous Monitoring,Logging,Maven,Maintainability,Design,Reliability,Documentation,Continuous Improvement | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
We are seeking a highly experienced Senior Backend Java Engineercombined with Data and Machine learning experience with a minimum of 8 years of industry experience. The ideal candidate will be an independent contributor, self-driven, and possess excellent communication and collaboration skills. This role requires close interaction with the Research team and Product Managers to bring machine learning models into production.
REQUIREMENTS:
- Collaborate and Integrate: Work closely with the Research team and Product Managers to understand requirements and translate them into robust backend solutions. Ensure seamless integration of machine learning models into production environments.
- Design and Development: Architect, design, and develop distributed, scalable, and high-performance software solutions. Apply best practices in software engineering to ensure code quality, reliability, and maintainability.
- Proactive Issue Resolution: Take initiative to identify potential issues and proactively resolve them. Ensure the robustness and reliability of the backend systems through continuous monitoring and improvement.
- Operability Measures: Implement and maintain operability measures such as logging, monitoring, alerting, and debugging. Ensure that systems are always running smoothly and any issues are quickly addressed.
- DevOps Practices: Embrace DevOps methodologies to streamline the development and deployment process. Utilize CI/CD pipelines and build tools like Maven and Gradle to ensure efficient and reliable software delivery.
- Performance Optimization: Continuously analyze and optimize the performance of backend systems. Ensure that applications can handle high volumes of traffic and data efficiently.
- Documentation and Best Practices: Create and maintain comprehensive documentation for the backend systems and processes. Share best practices with the team and contribute to a culture of continuous improvement.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:8.0Max:13.0 year(s)
Computer Software/Engineering
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Proficient
1
Toronto, ON, Canada