Full Stack Developer (Entry) 1482

apartmentOpen Source (Pty) Ltd placeMenlyn calendar_month2026/04/24

Essential Skills

Were looking for candidates who have handsâon experience or strong foundations in:

Python for backend development and scripting
Basic frontend knowledge (HTML, CSS, JavaScript/TypeScript, Angular or similar)
Core software engineering principles and clean code practices
RESTful APIs and asynchronous communication patterns
Git and collaborative workflows (e.g. GitHub)
Linux/Unix environments and basic containerization concepts
Exposure to cloud platforms such as AWS or Azure (e.g. S3, Lambda, or equivalents)
Understanding of unit testing and test frameworks (e.g. pytest, Jest)
Familiarity with data preprocessing or ETL concepts for ML workloads
Strong communication skills and the ability to work effectively in Agile teams
Design, build, and maintain backend services and APIs using Python
Write clean, efficient, and wellâtested code following best practices
Support data ingestion, preprocessing, and transformation workflows for ML models
Help integrate ML model outputs into applications and APIs
Collaborate with UI/UX designers to deliver userâfriendly features
Work in a DevOpsâoriented Agile team, contributing to CI/CD pipelines
Assist in automating build, test, and deployment processes
Monitor systems, troubleshoot production issues, and improve reliability
Participate in code reviews, pair programming, and knowledge sharing
Learn and apply cloudânative and infrastructureâasâcode patterns with support from senior engineers

Advantageous

You dont need all of these, but theyre a big plus:

Experience with ML frameworks (TensorFlow, PyTorch)
Understanding of Generative AI / prompt engineering
Familiarity with Infrastructure as Code (Terraform, similar)
Exposure to AWS ML services (SageMaker, DynamoDB, Glue, Kinesis)
Experience with CI/CD pipelines (GitHub Actions, similar)
Frontend state management (NgRx, RxJS, Redux, etc.)
Data visualization tools or analytics libraries
Knowledge of distributed or batch processing (Spark, Hadoop)
Experience with Jupyter notebooks or managed notebook platforms
Background in algorithms, statistics, or applied mathematics

Qualifications & Experience

Bachelors degree in Computer Science, Software Engineering, or related field

(or equivalent practical experience)

12 years of software development experience (including internships, graduate programs, or strong personal projects)
Solid fundamentals in programming, problem solving, and algorithms
Demonstrable projects showing real code ownership

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