via Dice
$90K - 130K a year
Design and develop scalable enterprise applications using .NET technologies and cloud services.
10+ years experience in .NET and cloud-native application development with strong skills in microservices, API design, and DevOps.
• 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. Required Qualifications • 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, Google Cloud Platform, 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 Javaconcurrency 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.
This job posting was last updated on 3/3/2026