Engineer I Software Engineering IX

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Key Responsibilities

Core Development: Design, code, test, and deploy clean, maintainable backend services and APIs for our data center management platform using Java.
Infrastructure Integration: Develop and optimize components that interface with data center hardware, ensuring reliable data ingestion, device monitoring, and system alerts.
System Optimization: Participate in application architecture evaluation, performance tuning, and troubleshooting of high-throughput, low-latency technical issues.
Collaboration: Partner with Product Managers, Frontend Engineers, and QA to align on requirements and deliver features within agile sprints.
Code Quality: Conduct and participate in constructive code reviews to maintain high coding standards and engineering best practices.
Modern Engineering: Actively leverage modern AI-assisted engineering tools (e.g., GitHub Copilot) into daily workflows to optimize code generation, debugging, and productivity.

Required Technical Skills & Experience

Experience: Minimum of 3 years of professional software development experience, primarily focused on backend Java development.
Domain Knowledge: Prior experience or strong familiarity with Data Center Management Systems (DCIM), infrastructure monitoring software, or enterprise-level network management platforms is a plus.
Java Core: Strong proficiency in Java (Java 11/17 or higher), including a deep understanding of OOP concepts, multi-threading, high-concurrency, and memory management.
Frameworks: Extensive experience with SpringBoot and the broader Spring ecosystem (Spring MVC, Spring Data, Spring Security).
Databases: Solid experience with relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks like Hibernate/JPA. Familiarity with TimescaleDB or InfluxDB (for time-series data) is a major plus.
CI/CD & Tools: Proficiency with Git, Maven/Gradle, Docker, and Linux/Ubuntu environments.

Preferred/Nice-to-Have Qualifications

Familiarity with data center/hardware communication protocols (e.g., SNMP, Modbus, BACnet, IPMI).
Proven capability in leveraging AI developer tools effectively to improve code quality and delivery speed.
Prior experience with automated testing frameworks (JUnit, Mockito).

Soft Skills & "Below-the-Waterline" Attributes

Problem-Solving: Analytical mindset with a methodical approach to resolving intricate technical challenges and infrastructure edge cases.
Communication: Excellent verbal and written communication skills; ability to articulate complex technical concepts clearly within a team.
Adaptability: A strong desire to learn domain-specific technologies and adapt to evolving project requirements.