Java FullStack Developer
Role details
Job location
Tech stack
Job description
Responsibilities Take end-to-end responsibility for software services that drive customer experiences and the platforms supporting them. Design and deploy reactive microservices using Java, Spring Boot, Hibernate JPA, and Kubernetes. Build and maintain high-performance REST and gRPC APIs, documented via Swagger and tested via Postman. Refactor existing APIs and microservices for simplification, efficiency, and scalability. Manage CI/CD pipelines using GitHub, Argo, SonarQube, and Fossa. Practice Test Driven Development (TDD) and ensure all code is Clean Code compliant. Implement Canary deployment strategies to ensure seamless updates in production [1] critical environments. Execute API Load and Performance (L&P) testing to validate system resiliency. Monitor platform health using Datadog, Prometheus, and Grafana. Participate in AI-driven anomaly detection and automated incident diagnostics. Support critical applications in an "always-on" production environment. Participate in whiteboard sessions and architectural discussions to gather requirements and design solutions.
Skill RequiredJava, Java Reactive, Spring Boot, Hibernate JPA, Google Cloud Platform, AWS, Kafka, PostgreSQL, Kubernetes, Argo, GitHub, SonarQube, Fossa, REST, gRPC, Swagger, Postman, Datadog, Prometheus, Grafana, Agile, Kanban, TDD, CI/CD
Requirements
Experience Required5+ years of progressive experience in cloud-based development using Java and Spring Boot. 3+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform) or other cloud providers (AWS, Azure). Experience with Java Reactive Programming Hands-on experience with Apache Kafka (streaming/messaging) and PostgreSQL. Production experience with Kubernetes and microservices architecture. Experience designing, deploying, and supporting cloud-based solutions at scale. Knowledge of API methods for system integrations and data exchange (JSON, REST, Swagger, Postman). Understanding security considerations in cloud-based software (OAuth2, OIDC, SAML). Experience with AI-driven observability or anomaly detection tools. Proven experience supporting "always-on," high-availability production environments.
Education RequiredBachelor's degree in computer science, Electrical Engineering, or a closely related field.