G07 - Backend Engineer

Role Overview We are looking for a Backend Engineer to design and develop simulation systems and services, and to integrate simulation solvers into cloud-based platforms. You will build simulation workflows for multiple use cases, enabling scalable execution, automation, and reproducibility. You will work with a multidisciplinary team (engineers, product, domain specialists) in an Agile environment to deliver secure, reliable, and user-centric digital capabilities. Key Responsibilities Simulation Systems & Services Design and develop simulation systems, backend services, and supporting components to meet business and product requirements. Integrate simulation solvers/engines into cloud-based systems and ensure smooth end-to-end execution. Build reusable libraries and APIs to standardise solver integration, data exchange, and orchestration. Workflow Design & Orchestration Design and implement simulation workflows for various use cases (e.g., batch runs, scenario analysis, parameter sweeps). Develop scalable, automated solutions to manage execution, retries, monitoring, and outputs. Improve workflow efficiency and reliability through profiling, optimisation, and robust error handling. Cloud Engineering & Operations Develop and deploy services on cloud platforms (AWS/GCP/Azure) with a focus on security, performance, and scalability. Work with DevOps practices: containerisation, CI/CD, observability, and infrastructure automation where applicable. Troubleshoot production issues and contribute to operational runbooks and documentation. Engineering Excellence Write clean, maintainable, well-tested code; contribute to code reviews and engineering best practices. Implement unit/integration tests and test automation to ensure solution quality. Document solutions clearly (architecture diagrams, flowcharts, runbooks, and developer docs). Required Skills & Qualifications Degree in Computer Science, Engineering, or equivalent practical experience 7 plus years. Programming experience in at least one modern language (e.g., Python, JavaScript, Java, C++). Working knowledge of cloud computing (AWS, GCP, Azure) and deploying services in cloud environments. Basic understanding of software engineering practices: version control, testing, CI/CD concepts, and documentation. Comfortable with Linux systems and command line tools. Preferred / Advantageous Skills Understanding of simulation, modelling, numerical/computational methods, or scientific computing concepts. Experience with one or more of the following: Cloud platforms and managed services HPC environments (clusters, schedulers, parallel compute) Workflow tools / orchestration (e.g., Airflow, Argo, Prefect, Step Functions—any equivalent) API design (REST/GraphQL), microservices DevOps practices (Docker, CI/CD, observability) Domain exposure: CFD, 3D modelling, physics-based simulations, digital twins (any relevant domain) Soft Skills Strong problem-solving mindset and ability to translate ambiguous requirements into implementable solutions. Communicates clearly with technical and non-technical stakeholders. Collaborative team player; able to work effectively in Agile delivery teams.