Full Stack Java Development Lead creating cloud-native microservices and APIs at General Motors. Focused on backend engineering and driving technical design discussions for scalable solutions.
Responsibilities
Lead technical design discussions and create detailed architecture for new features and services.
Guide junior engineers through code reviews and technical mentorship (without direct people management).
Drive high engineering standards: unit testing, integration testing, code quality, automated testing frameworks.
Ensure secure coding practices, API hardening, and adherence to enterprise security policies.
Work closely with product owners, architects, and platform teams to translate requirements into technical solutions.
Provide backlog input, effort estimates, and help shape technical roadmaps.
Design, develop, and maintain scalable Java-based cloud microservices (Spring Boot & Spring Cloud).
Develop services for cloud environments (Azure, AWS or GCP) including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Build robust, secure, and versioned RESTful APIs and integrations.
Implement asynchronous messaging, event-driven patterns, and distributed processing.
Ensure reliability, observability, and monitoring through logging, tracing, and metrics.
Design and optimize data models leveraging RDBMS (PostgreSQL, MySQL, Oracle, etc.) and NoSQL databases (MongoDB, CosmosDB, Cassandra).
Implement efficient data access layers and query strategies for performance and scalability.
Diagnose performance bottlenecks and optimize services for throughput and latency.
Requirements
Minimum of 8 years of hands-on software development experience
Demonstrated expertise in Java 11+, Spring Boot, and Spring Cloud
RESTful API design and implementation
Microservices architectures and distributed systems
Object-oriented design principles and Java design patterns
Strong experience building cloud-native applications on Azure, AWS, or GCP
Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes
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