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.