Senior Software Developer

Job Summary: Software Developer role is key in building an advanced data management and analytics platform, integrating with multiple external APIs, and optimising real-time data workflows. Key Performance Areas Develop and optimise Perl-based backend applications for data processing, analytics, and automation (or be willing to learn Perl quickly). Implement Perl OOP best practices and efficient data structures for large-scale processing. Build and maintain PHP-based applications and backend services. Design and manage high-performance Redis caching and data structures for real-time processing. Develop and maintain API integrations (REST, Webhooks) with external services (CRMs, analytics platforms, etc.). Work with JSON and JavaScript for API handling, data transformation, and UI interactions. Optimize MySQL databases, focusing on performance tuning, indexing, and partitioning. Deploy and manage Ubuntu Linux environments for high-traffic applications. Implement AI-based analytics using TensorFlow, vLLM, or Olama to classify and analyse very large datasets. Ensure system reliability, security, and scalability across all integrations. 3. Key Tasks Data Analysis and Interpretation Study statistical data to create analyses on product performance. Analyse data to identify trends and patterns that impact decision-making. Support the actuarial first-line team in the preparation of the statutory returns. Support the actuarial first-line team in the pricing, profit testing and viability analysis of new products or enhancements on existing products. Support the actuarial first-line team in producing the financial projections for budgeting, ORSA and any other similar risk reporting requirements. Use a variety of predictive models to project outcomes, such as future events, claims ratios, risks events, or financial performance. Develop and Optimize Perl-Based Backend Applications for Data Processing, Analytics, and Automation (or be willing to learn Perl quickly) Design and implement robust Perl scripts for data ingestion, transformation, and processing. Automate data workflows and reporting mechanisms. Optimise existing Perl code for better performance and scalability. Implement Perl OOP Best Practices and Efficient Data Structures for Large-Scale Processing Utilise Object-Oriented Programming principles to structure code for maintainability and efficiency. Design and implement advanced data structures to handle large datasets. Conduct code reviews to ensure adherence to best practices. Build and Maintain PHP-Based Applications and Backend Services: Develop secure and scalable PHP applications. Integrate PHP services with front-end applications and third-party APIs. Perform code optimisation and refactoring to improve performance. Design and Manage High-Performance Redis Caching and Data Structures for Real-Time Processing Implement Redis caching strategies to enhance application performance. Manage Redis data structures for efficient real-time data access. Monitor and troubleshoot Redis-related issues. Develop and Maintain API Integrations (REST, Webhooks) with External Services (CRMs, Analytics Platforms, etc.) Design and implement RESTful APIs and Webhooks. Integrate with third-party services such as CRMs and analytics platforms. Ensure secure and reliable data exchange between systems. Work with JSON and JavaScript for API Handling, Data Transformation, and UI Interactions Parse and manipulate JSON data for API communication. Develop JavaScript functions for data transformation and front-end interactions. Collaborate with front-end developers to integrate APIs into user interfaces. Optimise MySQL Databases, Focusing on Performance Tuning, Indexing, and Partitioning Analyse and optimise SQL queries for performance. Implement indexing strategies to improve database efficiency. Use partitioning techniques to manage large datasets effectively. Deploy and Manage Ubuntu Linux Environments for High-Traffic Applications: Configure and maintain Ubuntu servers for optimal performance. Automate deployment processes using tools like Ansible or Docker. Monitor server health and implement security measures. Develop Internal Tools and Dashboards Using Bootstrap 5, JavaScript, and WebSockets Create responsive and user-friendly dashboards with Bootstrap 5. Utilize WebSockets for real-time data updates. Build internal tools to support operational and analytical needs. Implement AI-Based Analytics Using TensorFlow, vLLM, or Olama to Classify and Analyse Very Large Datasets Develop machine learning models for data classification and analysis. Integrate AI solutions into existing data workflows. Analyse large datasets to derive actionable insights. Ensure System Reliability, Security, and Scalability Across All Integrations Implement monitoring and logging solutions to ensure system reliability. Apply security best practices to protect data and applications. Design systems for scalability to handle growing data volumes and user demands. 4. Qualifications/ Experience Expertise in Perl OOP and data structures (or willingness to learn quickly). Strong experience with Redis, including caching strategies, pub/sub, and data structure optimisation. Proficiency in PHP for backend services and API handling. Deep understanding of API integrations (REST, Webhooks). JSON and JavaScript proficiency for data handling and UI interactions. MySQL expertise, including query optimization and indexing. Ubuntu Linux administration, particularly in high-load environments. Apache web server experience, including configuration, performance tuning, and security. Experience with LLM integration and text processing using Perl, Python & Language models a bonus. Experience working with high-throughput data processing and automation. Strong problem-solving and debugging skills. Experience integrating telephony platforms (e.g., Asterisk, Twilio, Five9, Vicidial, etc.). Strong UI/UX skills for internal dashboards using Bootstrap 5.

Location: Benoni, ZA

Posted Date: 4/15/2025