Software Engineer

Description Key Responsibilities

• Design, develop, and maintain scalable data pipelines and backend services that support core business operations.
• Build robust solutions to ingest, transform, and standardize data from diverse sources, ensuring accuracy and consistency.
• Enhance search and discovery capabilities, including relevance tuning, performance optimization, and index management.
• Collaborate with cross-functional teams - including data science, product, and infrastructure - to support data and AI/ML use cases.
• Develop and maintain APIs and integrations with enterprise systems and external platforms.
• Implement data quality, governance, and monitoring frameworks to ensure system reliability and compliance.
• Champion best practices in automated testing, CI/CD pipelines, and DevOps methodologies.
• Optimize system performance, scalability, and reliability across distributed environments.
• Participate actively in Agile development processes, including sprint planning, code reviews, and retrospectives.
• Stay abreast of emerging technologies and contribute to a culture of continuous improvement and innovation.
• Perform additional duties as required to support team and organizational goals.

Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• Typically a minimum of 5 years of relevant professional experience; or 3 years with a Master's degree; or equivalent demonstrated experience in application delivery and software development.

Technical Skills

• Advanced proficiency with the Java/Linux technology stack, including application servers, backend processing frameworks, and web tier architectures.
• Hands-on experience with data engineering and distributed data systems (e.g., Apache Spark, Kafka, Hadoop, or equivalent).
• Experience with online information retrieval systems; familiarity with Solr/Lucene or Elasticsearch is strongly preferred.
• Advanced knowledge of acceptance test-driven development (ATDD), including automated testing frameworks, test-driven development (TDD), defect tracking, and test case management.
• Experience with Big Data technologies such as Hadoop, Spark, and Scala is desirable.
• Familiarity with cloud platforms and containerization technologies, including Docker and Kubernetes.
• Experience designing and implementing scalable GraphQL APIs, including schema design and query optimization.
• Understanding of data modeling, metadata management, or semantic and knowledge graph concepts is highly desirable.

Professional Competencies

• Collaborative mindset with experience in or openness to pair programming practices.
• Excellent verbal and written communication skills, with comfort presenting and discussing work in team and stakeholder settings.
• Genuine passion for software development, with a demonstrated commitment to continuous learning both on and off the job.
• Adaptability and willingness to develop cross-functional skills to meet evolving team needs.
• Strong sense of ownership, accountability, and attention to detail.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities


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