Key Responsibilities Design, develop, and maintain backend systems using Python (Django) Build, maintain, and optimise RESTful APIs Work extensively with MySQL , including schema design and performance optimisation Deploy and support applications in Linux environments Use Docker for containerisation and environment consistency Work with cloud platforms (AWS, Azure, or Google Cloud) for application deployment and infrastructure Collaborate with front-end developers, product owners, and other engineers Debug and troubleshoot complex application and infrastructure issues Participate in code reviews, mentor junior developers, and uphold coding standards Contribute to architectural decisions and provide technical leadership Essential Requirements (Non-Negotiable) 5 years professional experience as a Python Developer Strong experience with Python and Django Proven experience building and maintaining APIs Solid hands-on experience with MySQL Strong experience working in Linux environments Docker experience for containerised applications Experience working with cloud platforms : AWS, Azure, or Google Cloud Strong backend and system architecture knowledge Proficiency with Git version control Willingness to work full-time in office (Bryanston, Gauteng) Nice to Have Experience with microservices architectures Exposure to message brokers such as RabbitMQ or Kafka Experience working in Agile development environments Qualifications Bachelors degree in Computer Science, Software Engineering, or related field Apply Now! For more information contact: Raees Sadek IT Recruitment Researcher

What you will be doing: Architect, develop, and maintain high-performance Python applications supporting AI and machine learning use cases. Lead peer code reviews and enforce best practices in software engineering and coding standards. Design, build, and manage ELT/ETL data pipelines in massively parallel processing environments (e.g. Spark, Ray, or similar). Oversee the full machine learning model lifecycle, including deployment, monitoring, optimisation, and maintenance. Implement automated monitoring, alerting, and reliability mechanisms for production ML systems. Mentor junior developers and data scientists on Python development and engineering best practices. Collaborate with stakeholders to translate business and analytical requirements into robust technical solutions. Contribute to improving system performance, scalability, and operational resilience. What we are looking for: BSc in Computer Science or a related field ( *Transcripts Required) 5 years experience in Python development with strong software engineering fundamentals. Proven experience building and supporting production-grade systems. Strong understanding of software design principles, including SOLID principles. Experience with CI/CD pipelines, Git, and unit testing frameworks. Hands-on experience with MLOps tools such as MLflow, Kubeflow, or similar platforms. Strong knowledge of cloud platforms such as AWS, Azure, or GCP. Ability to debug complex systems and deliver scalable, maintainable solutions. Strong collaboration and communication skills with the ability to work across technical and business teams. Ownership mindset with a focus on system reliability, performance, and continuous improvement. Advantageous experience: Exposure to tools such as Vertex AI, BigQuery, and Cloud Composer. Experience working in large-scale data environments and distributed systems. Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.