Senior Software Engineer II – Hybrid, Risk & Data Systems

Nextens; Boca Raton (FL); Hybrid; USD 95,000 - 159,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a skilled software engineer to design, develop, and refine complex system components within a cross-functional product line. You will participate in agile or waterfall processes, translate requirements into robust software designs, and contribute to secure coding practices.

Hybrid work arrangement requires in-office presence two days per week. Strong knowledge of data modeling, data storage subsystems, and multiple development languages will be essential to

Qualifications

• Performs complex research, design and software development within a product line.
• Collaborates with stakeholders to refine requirements and translate them into designs.
• Adheres to coding best practices and participates in code reviews.

Responsibilities

• Interface with technical teammates to finalize requirements.
• Write and review detailed specifications for complex components.
• Resolve complex bug fixes and translate requirements into designs.
• Collaborate with teams to understand product requirements and ensure quality.
• Mentor entry-level engineers on development methodologies and optimization techniques.
• Demonstrate secure-by-design mindset throughout development lifecycle.

Skills

Agile methodologies

Data manipulation

Data modeling (normalized/dimensional)

Data storage subsystems

Java/J2EE

JavaScript

C/C++

.NET

HTML

XML

SQL

Research skills

Code review

Security-minded development

Tools

Java/J2EE

JavaScript

JSP

C/C++

HTML

XML

SQL

Windows

UNIX

.Net

Job description

LexisNexis Risk Solutions is seeking a skilled software engineer to design, develop, and refine complex system components within a cross-functional product line. You will participate in agile or waterfall processes, translate requirements into robust software designs, and contribute to secure coding practices.

Hybrid work arrangement requires in-office presence two days per week. Strong knowledge of data modeling, data storage subsystems, and multiple development languages will be essential to