Job Description

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.