Senior Java Developer
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Job Description
Senior Java Developer working at Accellor, an AI-first digital transformation partner. Building high-performance Java applications and leading technical roadmaps with innovative teams.
Responsibilities:
- Design, develop, and maintain high-performance, modular, and scalable Java applications using Spring Boot 3.4.x.
- Architect and implement cloud-native solutions, ensuring best practices for distributed systems, reliability, maintainability, and observability.
- Integrate observability into applications, including metrics collection, distributed tracing, structured logging, and proactive monitoring.
- Collaborate with cross-functional teams to deliver robust RESTful APIs and microservices.
- Optimize application performance, memory usage, and reliability.
- Lead and mentor junior engineers, performing code reviews and setting engineering best practices.
- Integrate and utilize AI coding assistants (such as GitHub Copilot or similar tools) to accelerate development and improve code quality.
- Contribute to the evolution of our architecture and technology stack with a focus on modern Java, modularization, cloud technologies, and observability.
- Ensure security, compliance, and observability of all deployed services.
- Participate in Agile development processes, including planning, estimation, and retrospectives.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
- 5+ years of hands-on experience in Java development (Java 11+ required, Java 21 preferred).
- Expert knowledge of Spring Boot (3.x preferred), Spring Cloud, and related frameworks.
- Proven experience designing and building cloud-native applications (AWS, Azure, GCP, or similar).
- Strong understanding of RESTful API design, microservices architecture, and distributed systems.
- Experience integrating observability stacks (OpenTelemetry, Micrometer, Prometheus, Grafana, etc.) for monitoring, logging, and tracing.
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Demonstrated proficiency using AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine) in daily development workflows.
- Solid grasp of software engineering best practices (modular code design, testing, version control, code review).
- Excellent problem-solving, analytical, and communication skills.
- **Preferred Skills:**
- Experience with reactive programming, asynchronous processing, and modern Java concurrency features.
- Deep familiarity with distributed tracing, log aggregation, and alerting systems.
- Knowledge of security best practices for cloud applications.
- Contributions to open-source projects or technical communities.
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