LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® ...
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Join our innovative, passionate, and dynamic tech team, where you'll have the opportunity to live your best career. As a Software Engineer II, you'll be at the forefront of our technological advancements, performing moderately difficult research, design, and software development assignments within our research solution division.
With your exceptional ability to work on individual pieces of work and solve complex problems, you'll play a pivotal role in designing program flows, effective coding, and meticulous testing. Your contributions will shape the future of our legal knowledge platform, empowering our users with unparalleled insights and solutions.
Embrace the challenge of pushing boundaries and driving innovation within our dynamic and supportive team environment. Together, we'll redefine the legal landscape, delivering exceptional value to our clients and propelling your career to new heights.
Responsibilities:
Craft and review detailed specifications for developing system components of moderate complexity.
Implement simple bug fixes to enhance product performance.
Collaborate with a talented team to understand product requirements and translate them into innovative software designs.
Tackle technical challenges and stay updated with the latest technology trends.
Embrace additional responsibilities as needed, contributing to our team’s success.
Requirements
1+ years of Software Engineering experience
Bachelor’s degree in engineering/computer science or equivalent experience.
Experience in development languages, including but not limited to: C#, JavaScript, TypeScript, Angular, SQL
Experience in Test automation frameworks such as Cypress and/or Playwright.
Strong proficiency with data manipulation language including optimization techniques.
Eagerness to learn and adapt to new processes and technologies.
Strong knowledge in industry best practices in development
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