SOFTWARE ENGINEER AND MATHEMATICAL MODELER

SOFTWARE ENGINEER AND MATHEMATICAL MODELER Discount Chemist Online is one of Australia’s leading online pharmacies. We have developed our own custom software to meet the unique IT requirements of our business. This software is built and maintained by our dedicated internal software development team. We are now looking for a Software Engineer to join our team responsible for developing the order management system and other tools that support order and stock management. In this role, you will focus on software optimisation, building systems capable of processing large volumes of data, implementing mathematical models to optimise stock levels, and improving processes related to workflow and operations in an online pharmacy environment. We are looking for a creative engineer who can design, optimise, and reason mathematically. Preferred Experience Criteria Experience in Logistics Experience in Ecommerce Experience in Healthcare Legal Framework Experience in Therapeutic Goods Administration Policies Experience in Pharmacy Industry Experience in Warehouse business process management Position Overview We are looking for a highly talented and driven Software Engineer with strong expertise in Math and Algorithms to join our team. The successful candidate will be responsible for developing optimisation mathematical models based on sales statistics and implementing them as part of order and stock management system. You will be working in a team with another expert in software development and mathematics who is primarily focused on mathematical modelling; while you are still required to have a solid mathematical background, your main expertise should be in designing ERP/MRP systems and implementing the associated algorithms. Key Responsibilities Develop, implement, and maintain optimisation models using sales statistics to improve business performance. Design and build software applications and tools that leverage these optimisation models. Collaborate with data analysts, sales teams, and other engineers to gather requirements and ensure the models meet business needs. Validate and test optimisation models to ensure accuracy, efficiency, and reliability. Optimise algorithms for performance and scalability. Document the design, development, and implementation processes. Stay updated with the latest developments in optimisation techniques, sales analytics, and software engineering. Provide technical guidance and mentorship to junior engineers and team members. Qualifications Bachelor’s or Master’s degree in Computer Science, Operations Research, Mathematics, or a related field. Proven experience of Inventory and Order management. Proven experience in software development, particularly in implementing optimisation models. Hands‑on experience on Microsoft .NET Framework, including .NET 8/9 versions. Strong programming skills in C#. Strong experience in Web Frameworks like ASP.NET MVC, Blazor, etc. Understanding KISS and SOLID principles. Experience with serverless computations. In‑depth knowledge of optimisation techniques (e.g., linear programming, integer programming, heuristic methods). Experience with data analysis and statistical software packages. Familiarity with sales analytics and data‑driven decision making. Excellent problem‑solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Demonstrated ability to design and optimise complex data workflows and backend systems. Ability to translate mathematical models into production‑grade code. Ability to evaluate algorithm performance. Proven ability to take ownership of a problem from concept to deployment. Preferred Skills Experience with big data technologies and tools. Knowledge of cloud computing platforms and services. Familiarity with CI/CD pipelines and DevOps practices (Azure DevOps). Ability to work using principles of Test Driven Development (TDD) as well as with Behavior Driven Development (BDD) and Domain Driven Development (DDD). Experience in organizing inter‑process communication using message bus and queue, e.g. Azure Service Bus, Kafka, etc. Understanding the principles of Infrastructure As a Code approach (Terraform, Bicep). Understanding network organisation and protocols. Understanding of software development best practices and patterns. Experience with performance monitoring and observability tools (e.g., Prometheus, Grafana, Application Insights). Interest in solving complex algorithmic and optimisation problems beyond textbook solutions. For this project you need to demonstrate significant experience in mathematics, software development as well as business process understanding, communication skills. At least bachelor’s degree in software development or related area. At least 5 years of experience in software development or related position. Experience in constraint programming and dynamic programming. Experience in server configuration (Windows, Linux, Docker). We look forward to reviewing your application. Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad. #J-18808-Ljbffr