Cloud-Native AI Engineer, Security & Automation

Lexis Nexis

Boca Raton (FL)

On-site

USD 79,000 - 131,000

Full time

14 days+
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Benefits offered by this job

Annual incentive bonus

Job summary

LexisNexis Risk Solutions is seeking a Software Engineer III to design, develop, and sustain scalable enterprise applications with an AI-first mindset. You will work on cloud-native systems, leverage Kubernetes and Azure, and contribute to secure software delivery and automation.

You will mentor junior engineers, drive automation, and collaborate with cross-functional teams to improve deployment automation and observability across environments.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related discipline preferred.
  • Minimum of 3 years of professional software engineering experience.
  • Strong understanding of software engineering fundamentals and system design patterns.
  • Experience with cloud-native technologies and deployment practices.
  • Experience with Kubernetes and containerized deployments.
  • Experience using Azure cloud services and CI/CD pipelines.

Responsibilities

  • Design, develop, test, and maintain high-quality software solutions.
  • Apply software design patterns to create scalable and secure systems.
  • Participate in architectural discussions and system design decisions.
  • Perform code reviews and provide feedback to peers.
  • Troubleshoot and resolve complex issues across application layers.
  • Ensure software quality through automated testing and monitoring.
  • Build, deploy, and support applications in cloud-native environments.
  • Develop and maintain CI/CD pipelines using GitHub Actions.

Skills

Cloud-native development
Kubernetes
Azure
CI/CD with GitHub Actions
AI tools & automation
Security engineering
OOP fundamentals
Mentorship

Education

Bachelor's degree in CS/Software Eng

Tools

Laravel
C#/.NET
GitHub Actions

Job description

LexisNexis Risk Solutions is seeking a Software Engineer III to design, develop, and sustain scalable enterprise applications with an AI-first mindset. You will work on cloud-native systems, leverage Kubernetes and Azure, and contribute to secure software delivery and automation.

You will mentor junior engineers, drive automation, and collaborate with cross-functional teams to improve deployment automation and observability across environments.

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