Job SummaryThis job posting is for an existing, active vacancy and we are looking to hire Backend Developer in Canada (WFH), immediately who has strong experience in Java, Spring Boot/WebFlux, Kubernetes, CI/CD automation, microservices and cloud native applications.
Role Overview We are seeking a highly skilled Backend Developer with strong expertise in Java, Spring Boot/WebFlux, Kubernetes, and CI/CD automation. The ideal candidate will be responsible for designing, developing, and maintaining scalable microservices and cloud native applications while leveraging modern DevOps practices. Experience with GitHub Actions, Harness, Azure, Databricks, and Python is highly desirable.
Key Responsibilities - Design, develop, and maintain high performance backend services using Java and Spring Boot/WebFlux.
- Build and support microservices based architectures with a focus on scalability, resilience, and performance.
- Develop reactive applications using Spring WebFlux and asynchronous programming paradigms.
- Deploy, manage, and optimize containerized applications on Kubernetes.
- Implement and maintain CI/CD pipelines using GitHub Actions and Harness.
- Collaborate with cross functional teams including architects, DevOps engineers, product owners, and QA teams.
- Integrate applications with cloud services and data platforms hosted on Microsoft Azure.
- Work with Databricks for data processing integrations and analytics workflows.
- Develop automation scripts and utilities using Python.
- Monitor application performance, troubleshoot production issues, and implement improvements.
The pay range for this role is CAD $90,000 - CAD $110,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
