Senior Java Software Engineer

AMISEQ is seeking a Senior Java Software Engineer to design, develop, and maintain high-performance Java applications. The role involves architecting cloud-native solutions, collaborating with teams to deliver APIs, and mentoring junior engineers while ensuring best practices in software development and observability.

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
• 10+ 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
• 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