Software Engineering Lead

RELX is a global provider of information and analytics for professional and business customers across industries. We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients. In short, we enable our customers to make better decisions, get better results and be more productive.Responsibilities Working closely with stakeholders to understand and finalize requirements Implementing development processes, coding best practices, and code reviews Acting as the initial point of escalation for software development issues Completing complex bug fixes, resolving technical issues, and working with complex data models Managing your team, including hiring, training, planning, assigning and directing work, appraising performance, and giving appropriate feedback Encouraging new ideas from staff to foster improvements through innovations and empowering them to be accountable Requirements Have a BS degree in Engineering/Computer Science or equivalent experience Have experience with various resource models such as Managed Services and/or Staff Augmentation Have an advanced knowledge of software development methodologies (e.g., Agile, Waterfall) Have extensive knowledge of industry best practices in external resource development Have the ability to partner and lead internal and external technology resources in solving complex business problems Have an excellent understanding of data modeling principles, data manipulation languages, and storage systems Be an expert in development languages, including JAVA/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, and .Net Have previous experience in people management and show an aptitude for achieving business objectives through managing others Be proficient with data manipulation language including optimization techniques Be proficient in AWS, NoSQL, Kubernetes, ElasticSearch