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Software Engineering Lead

LexisNexis

Durban

On-site

ZAR 1,000,000 - 1,400,000

Full time

Today
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Job summary

A leading technology and legal services provider is hiring a Software Engineering Lead in Durban. You will be responsible for optimizing and enhancing the LexisNexis Classification product, leading a skilled team in both South Africa and Europe. Ideal candidates should have experience in agile methodologies, AWS, and languages like React, Python, and JavaScript. The role offers a flexible work schedule and appealing benefits including medical aid and retirement plans.

Benefits

Medical Aid
Retirement Plan
Flexible working hours
Study Leave

Qualifications

  • Experience in leading software engineering efforts for AI-enabled SaaS products is desirable but not essential.
  • Strong interpersonal, communication, and presentation skills applicable to a wide audience.
  • Experience with AWS or similar cloud providers.

Responsibilities

  • Owning and executing backlog of product optimization and enhancements.
  • Managing a team of software engineers in a Scrum-based development environment.
  • Assisting in requirements gathering and implementing new features.

Skills

Agile frameworks
AWS
React
Python
JavaScript

Tools

NodeJS
GraphQL
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.

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