Senior
Software Engineering Lead
Software Engineering Lead
Would you enjoy working on cutting-edge products?
Are you ready to take the next step in a Software Engineering Lead role?
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 Software Engineering Lead, you will contribute to the design, development, and maintenance of complex software solutions. You will collaborate with cross-functional teams, share technical expertise, and continue to grow your skills while delivering scalable, high-quality products. We foster professional development and encourage team members to learn, mentor others, and drive continuous improvement.
Responsibilities
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Develop, maintain, and enhance software solutions as part of a collaborative team.
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Investigate and resolve issues reported by customers and colleagues.
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Participate in knowledge-sharing initiatives and contribute to a supportive team environment.
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Assist with project planning and effort estimation for upcoming work.
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Support other teams as needed and contribute to ongoing improvements.
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Communicate effectively and collaborate with colleagues from diverse backgrounds.
Requirements
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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.
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Proficiency in Python and must have direct experience with AI tools like LLM APIs (OpenAI, Bedrock, or Azure OpenAI). Understanding of OOPS concepts (.Net).
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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.
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Deep expertise in Microsoft SQL Server, including schema design, performance optimization, stored procedures, and advanced troubleshooting.
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Experience in application design, root cause analysis, and the development of shared or reusable components.
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Strong written and verbal communication skills.
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Hands-on experience with AWS cloud services and cloud-native application development.
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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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