Sr Full Stack Software Engineer II
- Compensation
- Not disclosed
- Location
- Alpharetta, GA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Fullstack
- Posted
Skills
Must have
- Bachelor’s degree in engineering, Computer Science, or a related technical discipline.
- 10+ years of experience in Software Engineering along with 8+ years in Java/Spring Boot, React, and modern web architectures.
- Experience with Node.js, REST APIs, microservices, and event-driven systems.
- Hands-on experience with Microsoft Azure and cloud-native application development.
- Experience in integrating AI/ML technologies such as Azure OpenAI, Azure AI Speech, or similar platforms.
- Strong understanding of distributed systems, security, scalability, and DevSecOps practices.
- Proven ability to lead technical initiatives and influence architectural decisions.
- Experience with audio, video, image processing, or media platforms.
- Knowledge of Kubernetes, Docker, Terraform, GitHub Actions, and Azure DevOps.
- Experience building Generative AI solutions and enterprise AI applications.
- Background in highly regulated industries such as public safety, healthcare, finance, or government.
- Previous experience as a Technical Lead, Solution Architect, or Principal Engineer.
Full description
Are you passionate about building innovative AI-powered platforms that transform how organizations capture, process, and extract insights from media-rich content?
Do you enjoy leading technical architecture decisions while mentoring teams and delivering secure, scalable cloud-native solutions using modern AI technologies?
About the Business
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/
About our Team
Our team is a collaborative group of Software Technicians focused on designing, developing, and supporting mission-critical public safety and law enforcement solutions. We work across the full software development lifecycle, delivering scalable, secure, and reliable applications in cloud and hybrid environments.
The team consists of engineers with diverse expertise in application development, cloud technologies, DevOps, site reliability engineering, system integration, and modern web technologies. We partner closely with Product Owners, Architects and operational teams to deliver innovative solutions that improve customer experience and operational efficiency.
About the Role
Join our team to build next-generation AI-powered video, audio, and image capture solutions for a digital reporting platform. In this role, you will design and develop secure, cloud-native applications that leverage modern AI services to enable intelligent media processing and real-time data extraction. You will collaborate across engineering, product, UX, security, and operations teams while providing technical leadership and architectural guidance on enterprise-scale solutions.
Responsibilities
- Design and develop enterprise-scale applications using React.js and Java/Spring Boot.
- Build scalable microservices, APIs, and event-driven integrations.
- Integrate AI services including Azure OpenAI, Azure AI Speech, and Document Intelligence.
- Develop secure, cloud-native solutions leveraging Azure, Kubernetes, and containerized platforms.
- Establish architecture standards for security, scalability, performance, and reliability.
- Collaborate with Product, UX, Engineering, DevOps, and Security teams.
- Provide technical leadership, architecture guidance, and mentorship.
- Drive CI/CD, DevSecOps, and cloud engineering best practices.