Are you someone who thrives on solving hard problems, learning fast, and pushing boundaries?

Do you seek out roles that challenge you intellectually and never settle for “good enough”?

Do you believe that success is a team sport — and that the best teams win together through grit, trust, and shared purpose?

If this sounds like you, we may have the perfect opportunity.

About the Team:
We are a small, high-performing R&D team embedded within a large, socially responsible big data organization. Our mission is to tackle the toughest technical challenges — often where conventional solutions fall short. We specialize in artificial intelligence, automated code generation, and building elegant systems that scale. You’ll work alongside colleagues who are passionate, collaborative, and committed to excellence. Many of us have advanced degrees, but what truly defines us is our mindset: curiosity, resilience, and a drive to beat the hardest problems.

About the Role:
We are looking for a talented and driven Software Engineer with expertise in Git/GitHub, Java, Natural Language Processing, and regular expressions to join our Linking team. The successful candidate will play a key role in enhancing, maintaining, and optimizing the core Deduced Abstraction Field Transformer engine, which supports entity extraction, part-of-speech analysis, and the parsing of semi-structured text using regular expressions.

If you’re looking for a place where you’ll be stretched, supported, and surrounded by people who care deeply about their craft, we’d love to hear from you.

Responsibilities:

• Enhance, maintain, and optimize the core Deduced Abstraction Field Transformer engine, focusing on entity extraction, part-of-speech analysis, and parsing of semi-structured text using regular expressions.

• Collaborate with the Linking team to design and implement high-quality software solutions that meet business requirements and technical specifications.

• Lead code reviews and provide constructive feedback to ensure adherence to best practices and code quality standards.

• Troubleshoot and resolve complex technical issues, ensuring the stability and performance of the software.

• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

• Stay up-to-date with emerging technologies and industry trends, applying this knowledge to drive innovation and efficiency within the team.

Requirements:

• Bachelor’s or master’s degree in computer science, computer engineering, or a related field; advanced degree preferred

• 5+ years of professional software development experience.

• Strong problem-solving skills, with a desire to learn and the ability to grasp new concepts quickly. Must be able to work independently as well as in a team environment.

• Excellent communication skills, both written and verbal.

• Proficiency in Java (Java 8 or later), with strong knowledge of object-oriented programming, concurrency, and performance optimization.

• Extensive experience working with traditional Natural Language Processing (NLP) techniques, libraries, and frameworks (e.g., spaCy, Stanford NLP, OpenNLP, or similar).

• Strong understanding and practical use of regular expressions for pattern matching, text extraction, and input validation.

Technical Skills

• Solid grasp of data structures, algorithms, and design patterns.

• Knowledge of text pre-processing, tokenization, POS tagging, and entity recognition techniques in traditional NLP.

• Experience working with large-scale text datasets, parsing unstructured data, and optimizing for performance and accuracy.

• Ability to ensure that quality solutions integrate seamlessly with existing data pipelines and architectures.

• Experience building and integrating RESTful APIs and microservices architectures.

• Familiarity with unit testing and test-driven development (e.g., JUnit, Mockito).

• Expertise in Git and GitHub workflows, including branching strategies, pull requests, code reviews, and CI/CD pipelines.

• Proficient with build tools such as Maven or Gradle.

Bonus/Preferred Qualifications

• Familiarity with machine learning techniques and how they apply to NLP tasks.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Exposure to containerization technologies like Docker and orchestration tools such as Kubernetes.

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business:

LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com/

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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