Java FullStack Developer
About The Position
Stefanini Group is looking for an experienced and highly motivated FullStack Developer to work as part of a high performing engineering team in an exciting and fast paced environment. In this role, you will have the opportunity to work with cutting-edge cloud-native technologies including Google Cloud Platform (GCP), Spring Boot, Cloud SQL, Dataflow, BigQuery, and our platforms. You will develop and enhance back-end APIs and services, primarily using Java/Spring Boot, develop data transformation using GCP Dataflow, BigQuery and GCS, troubleshoot and debug to optimize performance and stability, integrate and work with best-in-class analysis tools to improve code security and quality, integrate with third-party internal and external libraries and APIs as needed to deliver business functionality, instrument, measure and monitor application performance using cloud-native toolsets (Grafana, Splunk, GCP native tools and more), and work as part of an Agile team, supporting the entire application lifecycle from initial concept through design, development, test, deployment, and operational support. This role also involves integrating and deploying ML models, such as hosting a regression model on GCP Vertex AI, and implementing decision engines or leveraging GenAI APIs, like integrating Google's Gemini API or similar.
Requirements
- 4+ years of experience in IT; 3+ years in development
- 1+ years of experience in Machine Learning
- Backend experience in Java (Spring Boot)
- Experience in application delivery using iterative, Agile development practices including pairing/mobbing, test driven development (TDD), behaviour driven development (BDD), continuous integration/continuous delivery (CI/CD), feature flagging, A/B testing, blue/green deployment
- SQL experience (Postgres, MSSQL)
- Experience with instrumentation, monitoring and visualization tools including Grafana, Splunk, GCP Cloud Logging
- React
- Typescript
- Java
- Spring Boot Framework
- SQL Experience (Postgres, MSSQL etc.)
- Application delivery using iterative, test driven, Agile development practices including pairing/mobbing, instrumentation, monitoring and visualization tools including Grafana, Splunk, GCP Cloud Logging
- Java, Spring Boot, Acceptance Testing, Integration, GCP, GCP Cloud Run, Google Cloud Platform, GCP Vertex AI, Tekton, Spring Security, Python, Big Query, Extract Transform Load (Etl)
Nice To Haves
- Machine Learning
- Artificial Intelligence & Expert Systems
- Machine Learning
Responsibilities
- Develop and enhance back-end APIs and services, primarily using Java/Spring Boot
- Develop data transformation using GCP Dataflow, BigQuery and GCS
- Troubleshoot and debug to optimize performance and stability
- Integrate and work with best-in-class analysis tools to improve code security and quality
- Integrate with third-party internal and external libraries and APIs as needed to deliver business functionality
- Instrument, measure and monitor application performance using cloud-native toolsets (Grafana, Splunk, GCP native tools and more)
- Working as part of an Agile team, support the entire application lifecycle from initial concept through design, development, test, deployment and operational support
- Integrate and deploy ML models. E.g., Hosting a regression model on GCP Vertex AI
- Implement decision engines or leverage GenAI APIs. E.g., Integrating Google's Gemini API or similar
Benefits
- bonuses or other incentives
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
