Engineer I Software Engineering IX

Engineer I Software Engineering IX

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.

 

Experience Level

Mid Level