Job TitleBackend Software Engineer - Java & Google Cloud Platform (GCP)
Overview / Summary We are seeking an experienced and highly motivated Backend Software Engineer to join a high-performing engineering team in a fast-paced environment. This role offers the opportunity to work with cloud-native technologies including Google Cloud Platform (GCP), Spring Boot, Cloud SQL, Dataflow, BigQuery, and related platforms. The ideal candidate will have strong backend development experience, expertise in Java and Spring Boot, and experience building scalable cloud-based applications using Agile development practices.
Key Responsibilities - Develop and enhance backend APIs and services primarily using Java and Spring Boot.
- Develop data transformation solutions using GCP Dataflow, BigQuery, and Google Cloud Storage (GCS).
- Troubleshoot and debug applications to optimize performance and stability.
- Integrate analysis tools to improve code security and software quality.
- Integrate internal and external libraries and APIs to deliver business functionality.
- Instrument, measure, and monitor application performance using Grafana, Splunk, GCP Cloud Logging, and other cloud-native tools.
- Support the full application lifecycle, including design, development, testing, deployment, and operational support.
- Collaborate with multiple product teams to deliver solutions and drive innovation.
- Advocate for engineering excellence, usability, and software quality.
- Build scalable Java 17+ Spring Boot microservices.
- Develop automated acceptance and end-to-end testing solutions.
- Integrate microservices with GCP services and infrastructure.
- Containerize and deploy applications using GCP Cloud Run.
- Develop and maintain cloud-native CI/CD pipelines using Tekton.
- Implement secure enterprise services using Spring Security.
- Design and optimize BigQuery schemas and SQL queries.
- Design and develop ETL data pipelines.
Required Qualifications - Bachelor's Degree.
- 4+ years of IT experience.
- 3+ years of software development experience.
- 1+ year of experience with a machine learning language.
- Experience developing applications using Java and Spring Boot.
- Experience with acceptance testing and automated end-to-end testing.
- Experience integrating applications with Google Cloud Platform (GCP).
- Experience deploying applications using GCP Cloud Run.
- Experience building CI/CD pipelines using Tekton.
- Experience implementing application security using Spring Security.
- Experience developing with Python.
- Experience with BigQuery and SQL development.
- Experience designing and developing ETL processes and data pipelines.
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