Location: Babraham Research Campus, Cambridge

Type: Full time, permanent 

Start: Immediate

Salary: Competitive / Hours: 40 p/w

Office based position (hybrid working available)

 

Your role in our team:

As a DevOps Engineer, you will work closely and collaborate with various teams including IT support and Bioinformatics. You will work with a detailed overview of the current bioinformatics workflows, lab environment, infrastructure and systems and their utilization and deployment. You will be responsible for maintenance, troubleshooting and improving the existing cloud infrastructure, automation and integration solutions as well as creating new solutions. Your role will encompass the use of a broad range of tools and Cloud technologies within Continuous Integration (CI) and Continuous Deployment/Delivery (CD).

Your key responsibilities will include:

• Support daily running of AWS infrastructure in a secure manner.
• Expanding the capacity of AWS Cloud infrastructure.
• Proactive monitoring of systems, including backups and interfaces.
• Liaising with IT, Lab scientists and Bioinformatics to understand integration requirements
• Contributing to version control and container management.
• Contributing to the improvement of existing infrastructure and development process.
• Setup of CI/CD pipeline for new informatics pipelines.
• Providing day-to-day oversight, monitoring and maintenance of the infrastructure systems and software, including security, backup processes.
• Identifying operational problems and work with other to find resolutions. Ensuring outcomes are documented.
• Configuring, maintaining, and troubleshooting Databases.

You…

• Will have a minimum Bachelor’s in Computer Science (or equivalent experience).
• Have significant DevOps experience.
• Have excellent written and verbal communication skills.
• Have problem solving and analytical abilities.

With essential experience in…

• Administering an AWS Cloud ecosystem (preferably holder of AWS accreditations).
• Working within the AWS Management Console.
• Working in Linux.
• A working understanding of scripting languages Python & Bash.
• Container technologies (Docker, Kubernetes or similar).
• Version control (Git).

And Possibly...

• Working knowledge of Slurm Workload Scheduler.
• Working experience with infrastructure as code (Terraform, Ansible, etc).
• JupyterHub deployment.
• Familiarity with common bioinformatics tools, file types, and workflows.
• Data management skills.
• Security expertise.
• Experience building AWS Lambda applications.
• Project management skills.
• Familiarity with IT-relevant regulatory standards in drug discovery & development.