Senior Full Stack Developer (Java | AWS | Angular | AI)
Sabenza IT & Recruitment · City of Tshwane Metropolitan Municipality, Gauteng, South Africa
IT Services and IT Consulting · 11-50 employees
About the role
Design and develop enterprise-grade full-stack applications and scalable backend services using Java and cloud technologies. Contribute to innovative AI initiatives and mentor other developers while championing engineering best practices.
What they look for
Requirements
Requires a Bachelor's degree in Computer Science or a related field with extensive full-stack development experience. Proficiency in Java, AWS, Python, and Angular is essential, along with experience in containerization and CI/CD pipelines.
Benefits
Full description
Ready to build software that makes a global impact?
We're looking for a Senior Full Stack Developer who loves solving complex problems, building scalable applications, and working with modern cloud technologies. If Java is your language of choice, AWS feels like home, and you enjoy creating seamless full-stack solutions, this could be your next big move.
You'll join a highly collaborative international engineering team working on cutting-edge digital platforms, cloud solutions, and exciting AI initiatives that are shaping the future of enterprise technology
What You'll Be Building
You'll help design and deliver enterprise-grade applications while contributing to innovative AI solutions that are transforming how teams work.
Your day-to-day will include:
- Designing and developing modern full-stack applications
- Building scalable backend services using Java, Spring Boot, Python & Node.js
- Creating responsive frontends with Angular & JavaScript
- Deploying and managing cloud infrastructure on AWS
- Developing REST APIs and integrating enterprise systems
- Working with SQL and NoSQL databases
- Building CI/CD pipelines and containerized applications
- Reviewing code and championing engineering best practices
- Mentoring developers and sharing technical knowledge
- Exploring and implementing emerging AI technologies
Requirements
ESSENTIAL SKILLS:
- Proficiency in Java programming language
- Experience with AWS cloud services
- Experience with Python
- Expertise in SQL for database management
- Knowledge of Node.js for server-side development
- Familiarity with Angular for frontend development
- Experience with AWS CDK for infrastructure as code
- Proficiency in Terraform for cloud infrastructure management
- Strong understanding of JavaScript for web development
- Experience with JPA & Hibernate for ORM
- Familiarity with Maven for project management
- Proficiency in PostgreSQL and RDMS for database solutions
- Experience with DynamoDB for NoSQL database management
- Knowledge of RESTful services for API development
- Experience with Spring & SpringBoot for application development
- Proficiency in Git & Github for version control
- Experience with Docker for containerization
- Familiarity with Sonar for code quality analysis
ADVANTAGEOUS SKILLS:
- Advanced skills in Angular for frontend development
- Experience with NPM for package management
- Familiarity with CodeCommit for source control
- Experience with Kubernetes for container orchestration
- Knowledge of Oracle databases
- Understanding and experience with Generative AI use cases or projects
- Coaching and giving training to fellow colleagues and users when required.
- Problem solving capabilities.
- Strong presentation skills
QUALIFICATIONS/EXPERIENCE:
- Bachelor’s degree in computer science, Software Engineering, or similar qualification.
- Extensive experience in full stack development across various technologies
- Proven track record of successful project delivery in a similar role
Benefits
- Cutting edge global IT system landscape and processes
- Flexible working of 1960 hours in a 12-month period
- High Work-Life balance
- Remote / On-site work location flexibility
- Highly motivating, energetic, and fast-paced working environment
- Modern, state-of-the-art offices
- Dynamic Global Team collaboration
- Application of the Agile Working Model Methodology
