Software Engineer III

Are you passionate about building secure, cloud-native applications that solve complex business challenges?

Do you enjoy leveraging AI-powered tools, automation, and modern engineering practices to drive innovation and operational excellence?

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at 

https://risk.lexisnexis.com/

This team will focus on building new applications, modernizing existing systems, and solving complex technical problems using AI as a practical development tool. We are looking for engineers with strong fundamentals, sound judgment, and the ability to evaluate and improve AI-generated solutions. The team will also own Laravel platform standards and contribute to automation, operational support, and security across our environments.

We are seeking a highly skilled and motivated Software Engineer III to join our engineering team. This role is ideal for an engineer who combines strong software engineering fundamentals with cloud-native development, security expertise, and an AI-first mindset. The successful candidate will contribute to the design, development, deployment, and support of scalable enterprise applications while helping drive engineering excellence, automation, and secure software delivery practices.

As a Software Engineer III, you will operate with a high degree of autonomy, take ownership of complex technical initiatives, mentor junior engineers, and play a critical role in advancing our cloud and security capabilities.

• Design, develop, test, and maintain high-quality software solutions that meet business and technical requirements.
• Apply established software design patterns and engineering best practices to create scalable, maintainable, and secure systems.
• Participate in architectural discussions and contribute to system design decisions.
• Perform code reviews and provide constructive feedback to peers.
• Troubleshoot and resolve complex technical issues across multiple application layers.
• Ensure software quality through automated testing, monitoring, and continuous improvement practices.

• Build, deploy, and support applications running in cloud-native environments.
• Develop and maintain CI/CD pipelines using GitHub Actions and related automation technologies.
• Deploy and troubleshoot workloads running on Kubernetes.
• Support Azure-based infrastructure and services, ensuring reliability, scalability, and operational excellence.
• Collaborate with platform and infrastructure teams to improve deployment automation, observability, and operational efficiency.
• Participate in root cause analysis and remediation of production incidents.

• Leverage AI-powered development tools, agents, and automation frameworks to improve engineering productivity and software quality.
• Build intelligent automation solutions that reduce manual effort and improve operational efficiency.
• Utilize AI-assisted troubleshooting techniques to accelerate root cause identification and resolution.
• Evaluate emerging AI technologies and recommend practical applications within the software development lifecycle.
• Champion responsible and effective adoption of AI across engineering teams.

• Act as a security-conscious engineer throughout the software development lifecycle.
• Analyze Common Vulnerabilities and Exposures (CVEs) and assess their impact on applications, infrastructure, and supporting services.
• Develop remediation plans and partner with stakeholders to ensure timely resolution of security findings.
• Support security initiatives spanning both Linux and Windows environments.
• Implement secure coding practices and contribute to threat mitigation efforts.
• Collaborate with security, infrastructure, and development teams to improve organizational security posture.
• Participate in security reviews, vulnerability assessments, and incident response activities as needed.

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline preferred.
• Minimum of 3 years of professional software engineering experience.
• Strong understanding of software engineering fundamentals, object-oriented programming, and system design patterns.
• Experience designing and building scalable enterprise applications.
• Strong troubleshooting and problem-solving skills.
• Experience with cloud-native technologies and deployment practices.
• Experience with Kubernetes and containerized application deployments.
• Experience using Azure cloud services.
• Experience creating and supporting CI/CD pipelines using GitHub Actions or similar technologies.
• Demonstrated experience leveraging AI tools, agents, and automation platforms to improve software delivery and operational outcomes.
• Strong understanding of application and infrastructure security concepts.
• Experience analyzing CVEs, performing risk assessments, and driving remediation activities.
• Experience supporting applications running on both Linux and Windows environments.

• Practical development experience using C#/.NET.
• Practical development experience using Laravel/PHP.
• Experience with infrastructure-as-code and cloud automation.
• Experience implementing monitoring, logging, and observability solutions.
• Knowledge of secure software development lifecycle (SSDLC) practices.
• Experience working in highly regulated or security-sensitive environments.
• Relevant cloud or security certifications.

• Thinks like an engineer first and uses technology choices as tools rather than constraints.
• Demonstrates strong ownership and accountability.
• Is comfortable working across development, cloud infrastructure, operations, and security domains.
• Embraces AI as a force multiplier while maintaining strong engineering judgment.
• Balances delivery speed with quality, reliability, and security.
• Continuously seeks opportunities to automate repetitive work and improve engineering processes.
• This position offers an opportunity to work on business-critical systems while helping shape the future of cloud-native, AI-enabled, and security-focused software engineering practices.

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