Gables Search Group
Linkedin · Posted 7d ago
Software Engineer
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Indexed description
Will not sponsor. Must be legally authorized to work in the United States without current or future employer sponsorship.Key Responsibilities
- Analyze, design, develop, and test software programs and systems with a focus on search technologies.
- Translate business and technical requirements into scalable, maintainable code using industry-standard programming practices.
- Collaborate with cross-functional teams to understand product requirements and delegate development tasks effectively.
- Lead the design and implementation of new features and enhancements across multiple system modules.
- Conduct and participate in unit, system, performance, and acceptance testing; recommend and implement improvements.
- Champion innovation in search technologies, staying current with emerging trends and tools.
- Drive the development and interpretation of technical requirements and specifications
- Bachelor’s degree in Computer Science or a related field.
- Minimum of 4 years of professional software development experience.
- Proficiency in Java, Scala, and Python.
- Expert-level knowledge in:
- Java, Object-Oriented Design
- Spring Boot, Spring Framework, Gradle
- RESTful web services
- Search technologies including full-text search and indexing (e.g., Lucene, Solr)
- Large-scale search systems and search architecture
- Experience with Big Data technologies and the Hadoop ecosystem.
- Solid understanding of Linux/Unix environments and database design principles.
- Strong communication skills—oral, written, and presentation.
- Creative problem-solving and innovative thinking.
- Proven ability to work effectively in a collaborative team environment.
- Experience with AI-assisted coding tools (e.g., Cursor, Claude Desktop).
- Familiarity with Graph Search and vector databases.
- Hands-on experience developing applications using Large Language Models (LLMs).
- Monitoring and observability tools such as New Relic.
- Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Proficiency in relational databases (MySQL, PostgreSQL).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
- Expertise in performance optimization and stress testing.
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