Software Engineering Lead

RELX; Johannesburg; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading information analytics company in Johannesburg is seeking a Software Engineering Lead to oversee the modernization and enhancement of their flagship AI product. The ideal candidate will have strong experience with AWS and React, and lead a skilled agile team to optimize product functionalities while maintaining a focus on quality and efficiency. This role offers an appealing work-life balance and numerous wellbeing benefits.

Benefits

Medical Aid

Retirement Plan with Risk Benefits

Modern family benefits including adoption and surrogacy

Study Leave

Flexible working hours

Qualifications

• Experience working with Cloud Providers, particularly AWS, is essential.
• Strong understanding of Scrum and Agile methodologies.
• Interpersonal and presentation skills applicable to diverse audiences.

Responsibilities

• Oversee the product backlog and execute enhancements.
• Maintain both backend and frontend for timely bug fixes.
• Gather requirements and implement new features.
• Ensure development is cost-efficient with performance in mind.
• Lead coding best practices and conduct code reviews.

Skills

Software Engineering techniques

AWS

React

Python

JavaScript

Go

Communication skills

Tools

AWS

Azure Pipelines

Job description

About our Team

We are strengthening our software engineering team to modernize our existing application stack, powering one of LexisNexis Intellectual Property’s flagship AI products, LexisNexis Classification. The team enhances the application with new features and functions to enrich the users experience as well as optimizing existing functionalities. This is an opportunity to lead a team that works on modern, cloud native infrastructure and become an essential part of building and maintaining the product architecture.

We expect this team to work across multiple technologies around a core including:

• React
• Go
• Python
• JavaScript
• Java
• C#/.Net
• Postgres
• SQL
• AWS

About the Role:

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.

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Aid
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
• Modern family benefits, including adoption and surrogacy
• Study Leave

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better 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 and Nexis services.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.