Software Engineer

Aspire Talent Solutions; North Carolina; On-site; USD 110,000 - 160,000; Full time

Job summary

Aspire Talent Solutions is seeking a Software Engineer to design, implement, and test scalable software with a focus on search technologies. You will translate requirements into robust code, collaborate with cross-functional teams, and contribute to large-scale search systems using Java, Scala, and Python in a Linux environment.

Strong background in Spring Boot, RESTful services, and data tooling; excellent communication and problem-solving skills are essential for success in a fast-paced,

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Minimum of 4 years of professional software development experience.
• Proficiency in Java, Scala, and Python.
• Expert in Java, OOP Design, Spring Boot, RESTful services, and search tech (Lucene/Solr).
• 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 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

Skills

Java

Scala

Python

OOP Design

Spring Boot

Spring Framework

Gradle

RESTful Services

Search Technologies

Lucene/Solr

Large‑scale Search

Hadoop Ecosystem

Linux/Unix

Database Design

Communication

Problem Solving

Collaboration

Education

Bachelor’s degree in Computer Science

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.