Software Engineer

Vogrinc Search Group; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Vogrinc Search Group is seeking a Software Engineer to analyze, design, develop, and test software with a focus on search technologies. You will translate requirements into scalable code and collaborate with cross-functional teams to deliver features across multiple modules.

You will work with Java, Scala, and Python, leveraging Spring Boot and RESTful services, and contribute to large-scale search systems within a Linux/Unix environment.

Qualifications

• 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 (Lucene, Solr), and Large-scale search systems.
• 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.

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 practices.
• Collaborate with cross-functional teams to understand product requirements and delegate tasks effectively.
• Lead the design and implementation of new features across multiple system modules.
• Conduct and participate in unit, system, performance, and acceptance testing; suggest improvements.
• Champion innovation in search technologies and stay current with trends.
• Drive the development and interpretation of technical requirements and specifications.

Skills

Java

Scala

Python

Big Data

Search technologies

Linux/Unix

Communication

Problem solving

Team collaboration

Education

Bachelor's degree in Computer Science

Tools

Spring Boot

Spring Framework

Gradle

RESTful web services

Lucene

Solr

Hadoop ecosystem

New Relic

MongoDB

PostgreSQL

Docker

Kubernetes

Job description

Software Engineer

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

Required Qualifications

• 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.

Highly Desired Skills

• 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.