WHAT EXPERIENCE DO I NEED?

• A solid background in software engineering across the full stack, with proven experience of leading and developing teams
• Experience of working within a start-up/scale-up environment preferred
• Experience of working with data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing platforms such as Kafka and Spark would also be useful
• Strong experience with Python, with any additional skills with R and/or C++ of benefit
• Experience of building a scalable architecture/infrastructure using tools such as Terraform, Kubernetes and Cloud technologies
• Experience with DevOps practices

Working in a “scale-up” environment, the Software Engineering Manager will build and lead a team of software engineers across the full stack, as they work with bioinformatics pipelines and build and deliver exceptional analytical tools processing data from multiple sources such as sequencing machines. Working in a “hands-on” capacity, the Software Engineering Manager will work to develop a scalable architecture/infrastructure, introducing DevOps practices, whilst maintaining technical oversight to ensure best practices in architecture, coding standards, and testing alongside the engineers.