Software Engineer( Scientific applications)

Software Engineer (Scientific Applications ) Location: Cambridge, UK (Hybrid) About the Role We're looking for a pragmatic Software Engineer to help build and scale our computational drug discovery platform while developing software that enables scientists to work more efficiently. This is a hands-on engineering role spanning backend development, cloud infrastructure, workflow automation, DevOps, scientific data management, and full-stack application development . What You'll Do Design, develop, and maintain the core platform and backend services. Build modern full-stack applications and internal web portals that support scientific research. Develop software that automates experimental workflows and replaces semi-manual processes. Design and improve scientific data management systems and internal tooling. Build and maintain cloud-native infrastructure on AWS using Infrastructure as Code. Develop, deploy, and monitor containerised applications using Docker and Kubernetes/ECS where appropriate. Build and maintain CI/CD pipelines for reliable software delivery. Design workflow orchestration systems (e.g. Prefect) for large-scale computational pipelines. Improve platform reliability, observability, monitoring, and logging. Optimise compute infrastructure for high-performance workloads, including GPU resources. Collaborate closely with scientific teams to productionise new computational methods. Improve developer experience through automation, documentation, reusable libraries, and engineering best practices. Ensure platform security, scalability, and operational excellence. Required Qualifications Experience working in biotechnology, pharmaceuticals, healthcare, or scientific research environments. Experience building internal scientific software or laboratory data management systems. Strong software engineering experience using Python. Experience developing backend services, APIs, and data-driven applications. Experience building modern web applications using contemporary front-end technologies. Experience working with relational databases and scientific or business data management systems. Experience with AWS and cloud-native application development. Strong understanding of Docker and containerised deployments. Experience with CI/CD tools such as GitHub Actions. Experience with Infrastructure as Code (Terraform, AWS CDK, or similar). Familiarity with Linux systems and shell scripting. Strong debugging, problem-solving, and software design skills. Excellent communication skills and experience working within multidisciplinary teams. Technologies Python JavaScript/TypeScript (React or similar) AWS (Batch, ECS, EC2, S3, IAM, CloudWatch) Docker Prefect GitHub Actions Terraform / AWS CDK PostgreSQL Linux Redis (optional) Kubernetes (nice to have) MLflow (nice to have) Prometheus, Grafana & OpenTelemetry (nice to have)