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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We are hiring a Software Engineering Lead to take the responsibility for the work on maintaining, modernizing and enhancing a key product, LexisNexis® Classification. This product uses AI to read millions of patents globally and pull the relevant patents into custom categories that are relevant to the specific technology areas users define.
You’ll be the go-to person for a small highly skilled agile team, with ownership over the mission and your development practices and process. Your engineering team will be based mainly in South Africa but also across Europe. You will also work closely with existing application teams, as well as with a broader range of stakeholders distributed across the UK, Germany, Netherlands and the USA.
As a Software Engineering Lead, you will play a crucial role in overseeing software development mainly within LexisNexis® Classification. You will contribute directly to solving technical problems as well as guiding your team to success.
Responsibilities
Owning and executing backlog of product optimization and enhancements.
Being responsible for backend and frontend maintenance of the product and ensuring bug fixes are prioritized in a timely manner.
Assisting in requirements gathering, decomposition and implementation of new features, such as additional features for product integration into existing LexisNexis® Intellectual Property products.
Integrating performance and cost-optimization considerations into development work, throughout the entire development lifecycle.
Able to communicate and take ownership within the team and across team boundaries.
Helping to maintain AWS platform infrastructure with CDK, such as NodeJS/Python Lambdas.
Assisting in refactoring the existing application.
Writing and reviewing detailed specifications for the development of complex system components.
Leading in development processes, coding best practices, and code reviews.
Managing a team of software engineers in a Scrum based development environment while collaborating with stakeholders.
Requirements
Understand Software Engineering techniques and processes, particularly adapting Scrum and agile frameworks to meet business needs.
Experience with AWS or similar cloud providers, including knowledge on running cost effective serverless architecture.
Experience working with React.
Strong interpersonal, communication, and presentation skills applicable to a wide audience.
Experience with Python, JavaScript, Go, Azure Pipelines, GraphQL (or similar API schemas) or willingness to rapidly learn.
Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential.
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