Software Engineering Lead: AI/ML & Cloud Systems

RELX INC; Atlanta (GA); Remote; USD 120,000 - 210,000; Full time

Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is seeking a Software Engineering Lead to provide technical leadership, mentor engineers, and deliver scalable AI/ML driven software for financial compliance screening. The role emphasizes cloud proficiency (AWS/Azure), Java and Python expertise, and API-first design across enterprise systems.

The candidate will guide architecture, set project plans, and manage a team, with hands-on coding and strong collaboration to drive innovation and data-driven decisions.

Qualifications

• 7+ years of Software Engineering experience.
• Strong knowledge of Java, Python, XML, SQL and scripting languages.
• Experience with Agile and Waterfall methodologies.
• Experience leading and mentoring software engineers.
• Cloud experience with AWS and/or Azure.

Responsibilities

• Serve as the initial point of escalation for software development issues within areas of responsibility.
• Write and review portions of detailed specifications for complex components.
• Complete complex bug fixes and translate requirements into designs.
• Mentor entry-level engineers and coach teams toward high performance.
• Design and work with complex data models and data storage subsystems.
• Lead development processes, code reviews, and best practices across teams.
• Collaborate across Agile and other development environments to meet objectives.

Skills

Java

Python

XML

SQL

Linux/UNIX

Cloud (AWS/Azure)

Agile & Waterfall

Leadership

Mentoring

API design

Education

Bachelors of science in Engineering/Computer Science or equivalent experience

Tools

AWS

Azure

APIs

Job description

LexisNexis Risk Solutions is seeking a Software Engineering Lead to provide technical leadership, mentor engineers, and deliver scalable AI/ML driven software for financial compliance screening. The role emphasizes cloud proficiency (AWS/Azure), Java and Python expertise, and API-first design across enterprise systems.

The candidate will guide architecture, set project plans, and manage a team, with hands-on coding and strong collaboration to drive innovation and data-driven decisions.