Overview
On Site
$$55hr - $60hr
Contract - W2
Contract - 1 day((s))
Skills
Java Lead
Job Details
Job Description:
Pay Range: $55hr - $60hr
- Lead the design and implementation of enterprise-grade Java applications using Kubernetes, Springboot and other related technologies.
- Architect and design microservices that are scalable, resilient, and optimized for cloud environments.
- Provide thought leadership on the use of containers (Docker) and Kubernetes for container orchestration and deployment.
- Define best practices for building cloud-native applications, emphasizing scalability, security, and maintainability.
- Collaborate with stakeholders, including business analysts, product owners, and other architects, to understand requirements and translate them into technical solutions.
- Define and enforce standards for CI/CD pipelines, automation, version control, and code quality.
- This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
- Experience: 8+ years of professional software development experience, with at least 3-5 years in a leadership or architect role.
- Extensive experience with Java and Springboot for building scalable, maintainable backend systems.
- Proven experience designing and building microservices architectures and deploying them in cloud-native environments.
- In-depth knowledge of Java 8+, Spring Boot, Spring Cloud, Spring Security, and related Spring technologies.
- Hands-on experience with containers (Docker) and Kubernetes for deploying and managing applications in production.
- Strong understanding of microservices architecture, API design (RESTful, GraphQL), and integration patterns.
- Solid experience with cloud infrastructure (AWS, Azure, Google Cloud Platform) and leveraging cloud-native services.
- Strong background in distributed systems, message queues, and event-driven architectures (e.g., Kafka, RabbitMQ).
- Security: Experience with OAuth, JWT, and other security mechanisms for securing microservices.
- Monitoring & Logging: Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging platforms (e.g., ELK stack).
- Event-Driven Architectures: Experience with event streaming technologies like Apache Kafka, AWS Kinesis, or Google Pub/Sub.
- Performance Tuning: Strong background in performance optimization, profiling, and tuning Java applications.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.