Full Stack Developer at Online Education Services

Cape Town, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

NodeJS, Javascript, HTML5, CSS, REST API, Websockets, Unit Testing, Git, System Design, Authentication, Web Security, Database Best Practices, DevOps, CI/CD, Cloud Services, Problem Solving, Attention to Detail

Industry

E-Learning Providers

Description

Location: Cape Town Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote Contract Type: Permanent Working Hours: 07H00 - 15H30 SAST Reports to: Manager – Data, Cloud and AI Engineering Job Summary: The AI Developer is responsible for supporting the development, maintenance, scaling, and improvement of AI powered applications. This role involves close collaboration with senior engineers to support the deployment of AI solutions on AWS and Azure, manage API integrations, and assist in the development of new AI Proof of Concepts. The AI Developer will also aid in the documentation of processes and configurations, ensuring efficient operations within our AI platform environment. Key Responsibilities: Collaborate within a wider cross region development team of engineers Design, build, and deploy AI and enabling workloads and bespoke AI applications within the OES delivery portfolio Develop APIs and microservices to integrate AI into applications. Assist in maintaining and optimising solution performance and scalability Contribute to AI research and development within OES Develop proof of concepts or prototypes to assist with research Ensure technical implementation deliverables meet best industry standards Contribute to the evolution and adoption of AI engineering technology within OES Maintain and contribute to documentation of AI engineering space Assist with the setup, deploy and maintenance of AI application and services for OES partners domestically and internationally What does success look like? Successful and timely delivery of Applications and solutions for OES AI stream and our partners to achieve business and financial goals Focus on student experience when designing and implementing solutions Supporting a long-term perspective on technology solutions to ensure it is scalable Security first mindset with solution design and implementation Developing strong and trusting relationships with the geographically distributed team and management structure of the OES group Contributing to the evolution of the application development capability in the AI stream and solutions within OES and assisting on achieving its KPIs You should have a Bachelor's degree in Computer Science, Engineering, or a related field, and minimum 4 years’ experience Demonstrable commercial experience in the following technologies: NodeJS back ends. Javascript front end frameworks and libraries (React, Svelte or similar) HTML5, CSS, Native Javascript REST API development and consumption Websockets Unit testing Demonstrable commercial experience in concepts such as: Git source control best practices System design and thinking Authentication and Web security Database best practices DevOps and Infrastructure as Code CI/CD (Jenkins, CodeDeploy, Git hub actions or similar) Demonstrable commercial experience in Cloud services (preferably AWS) S3, Lambda, DynamoDB, RDS, API Gateway, Cloudwatch Serverless paradigm and technologies Effective problem-solving abilities and meticulous attention to detail. Nice to Have: Experience with Python Exposure to AI concepts and such as LLMs and RAG Education industry technology standards such as LTI AWS certification About OES OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world’s most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day. Company Culture & Values We are a people-focused organization with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do: Passion and Perseverance: We love what we do (even though it’s not always easy) and take pride in creating transformative learning experiences. We bring a ‘can-do’ attitude to our work, tackling challenges and inspiring others. Teamwork: We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners. Agility and Innovation: We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking. Integrity: We do what’s right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony. These are some of the perks you can expect when you join the team: Develop: In an agile environment within a high performing close-knit team With modern hardware and directly on cloud services Using modern cloud technologies Employee Assistance Program (EAP) Medical allowance Commute allowance Flexible work for genuine career-life fit A healthy and supportive company culture Generous annual leave Paid maternity and paternity benefits Study leave Professional development and mentoring Construct Culture Club events Company funded lunch and drinks every 8 weeks *Policy T&Cs apply for certain benefits

Responsibilities

The AI Developer will support the development, maintenance, scaling, and improvement of AI-powered applications, collaborating closely with senior engineers. Key tasks include designing and deploying AI applications, managing API integrations, and contributing to AI research and development.