Java Engineer - Scalable AI Infra, Customer-Centric

Clera; Los Angeles (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Clera in Los Angeles, CA is seeking a Java Developer to bridge customer needs with engineering execution. You will translate real-world requirements into robust, scalable software that delivers lasting value to our users and clients.

Join an early-stage, venture-backed AI infrastructure company building production-ready systems for high-performance AI clusters, including inference pipelines and distributed training, with a strong emphasis on clean, maintainable code.

Qualifications

• Strong hands-on Java development experience.
• Ability to translate customer requirements into technical solutions.
• Solid understanding of data structures and algorithms.
• Excellent written and verbal communication with diverse teams.
• Focus on writing clean, maintainable code in scalable systems.

Responsibilities

• Partner with customers and internal stakeholders to understand requirements and translate them into actionable technical solutions.
• Design, develop, and maintain high-quality Java-based applications aligned with customer expectations and business goals.
• Analyze complex customer problems and implement clean, scalable code that drives long-term system reliability.
• Collaborate cross-functionally to ensure timely delivery of features reflecting user needs.
• Iterate on existing applications by incorporating customer feedback and applying software engineering best practices.

Skills

Java development

Customer requirements understanding

Communication skills

CS fundamentals

Software engineering principles

Job description

Clera in Los Angeles, CA is seeking a Java Developer to bridge customer needs with engineering execution. You will translate real-world requirements into robust, scalable software that delivers lasting value to our users and clients.

Join an early-stage, venture-backed AI infrastructure company building production-ready systems for high-performance AI clusters, including inference pipelines and distributed training, with a strong emphasis on clean, maintainable code.