Senior Software Engineer II
Do you enjoy working as part of a team that supports a diverse range of products and technologies?
Do you enjoy mentoring and supporting junior colleagues?
About the Business
LexisNexis Risk Solutions is a trusted partner in risk assessment. Within our Business Services vertical, we provide a wide range of solutions that help organizations drive revenue growth, improve operational efficiency, and enhance customer experiences. Our offerings address complex challenges across Anti-Money Laundering and Counter Terrorist Financing, Identity Authentication and Verification, Fraud and Credit Risk Mitigation, and Customer Data Management. Learn more about LexisNexis Risk Solutions: https://risk.lexisnexis.com/
About Our Team
We deliver powerful digital solutions that help customers tackle some of the world’s most significant challenges. Our Software Engineering team develops innovative, customer-focused products that create meaningful value and impact.
About the Role
As a Senior Software Engineer II, you will help design, develop, and maintain software solutions that have a real impact. You will work in cross-functional teams, share knowledge, and contribute to projects that make a difference for our users. Your input will help drive innovation and improve our products.
Responsibilities
- Develop, maintain, and enhance software solutions as part of a collaborative team.
- Investigate and resolve issues reported by customers and colleagues.
- Participate in knowledge-sharing initiatives and contribute to a supportive team environment.
- Assist with project planning and effort estimation for upcoming work.
- Support other teams as needed and contribute to ongoing improvements.
- Communicate effectively and collaborate with colleagues from diverse backgrounds.
Requirements
Strong understanding of modern software development methodologies, including Agile and Scrum, with the ability to diagnose and resolve complex technical issues while guiding others through problem-solving.
Proficiency in Python and must have direct experience with AI tools like LLM APIs (OpenAI, Bedrock, or Azure OpenAI). Understanding of OOPS concepts (.Net).
Work experience in RAG pipelines: chunking, embeddings, vector stores, retrieval quality, Structured extraction with Pydantic or similar schema-driven approaches, Agentic patterns and orchestration (Lang Graph, Lang Chain, or hand-rolled equivalents; framework matters less than understanding the patterns), Prompt engineering and some awareness of evals/testing LLM outputs.
Deep expertise in Microsoft SQL Server, including schema design, performance optimization, stored procedures, and advanced troubleshooting.
Experience in application design, root cause analysis, and the development of shared or reusable components.
Strong written and verbal communication skills.
Hands-on experience with AWS cloud services and cloud-native application development.
Understanding of security engineering principles and their practical application and Knowledge of JavaScript frameworks and TypeScript/node.js is a plus.
Our Commitment to Inclusion
We welcome applications from individuals of all backgrounds, including underrepresented groups, people with disabilities, career changers, and candidates with non-traditional education or experience. If you require accommodations at any stage of the recruitment process, please let us know. We are committed to supporting your success.
Learn more about the LexisNexis Risk Solutions team and how we work
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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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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Skills Required
- Strong understanding of Agile and Scrum software development methodologies
- Ability to diagnose and resolve complex technical issues and guide others through problem-solving
- Proficiency in Python
- Direct experience with LLM APIs, including OpenAI, Amazon Bedrock, or Azure OpenAI
- Understanding of object-oriented programming concepts and .NET
- Experience with RAG pipelines, including chunking, embeddings, vector stores, and retrieval quality
- Experience with structured extraction using Pydantic or similar schema-driven approaches
- Understanding of agentic patterns and orchestration using LangGraph, LangChain, or equivalent approaches
- Prompt engineering experience and awareness of evaluating and testing LLM outputs
- Deep expertise in Microsoft SQL Server, including schema design, performance optimization, stored procedures, and advanced troubleshooting
- Experience in application design, root cause analysis, and development of shared or reusable components
- Strong written and verbal communication skills
- Hands-on experience with AWS cloud services and cloud-native application development
- Understanding of security engineering principles and their practical application
- Knowledge of JavaScript frameworks and TypeScript or Node.js
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
