DevOps Engineer at Lifebit Biotech Ltd

Job Description

Lifebit powers pioneers in national precision medicine such as Genomics England (UK Government) and guides them on how to make their valuable data usable securely. Biotech and pharma leaders like Boehringer Ingelheim turn to Lifebit to connect them to this otherwise locked up data to obtain novel therapeutic insights.

Our technology is unmatched and momentum is on our side – but we need an exceptionally strong team to help boost Lifebit to incredible new heights.

Our engineering and research team is composed of a mix of software, and bioinformatics, engineers split between Lisbon and London. Software engineers don’t need any prior knowledge or experience in bioinformatics, we solve problems differently to the industry’s standards and favor creative problem-solving.

The different teams’ stack includes:

Backend: NodeJS, TypeScript, MongoDB
Infrastructure: Terraform, Docker, AWS, GCP
Frontend: React-Redux
Machine Learning: Python, Pandas, Sklearn, Tensorflow
Bioinformatics: Nextflow, Conda, Python, R, Bash, Docker, Singularity

As a DevOps Engineer in our team, you will take ownership of:

Creating automated deployment pipelines to generate infrastructure
Improving existing pipelines and processes
Improving our infrastructure performance and efficiency (in addition to ongoing maintenance and support)
Supporting customer infrastructure setups
Building monitoring and orchestrating solutions for deployments and upgrades
Managing and supporting deployments and monitoring for customer delivery
Delivering best practices guidance and support for managing architecture
Facilitating upgrades, patches, and maintenance of deployments
Creating and maintaining documentation and best practices
Providing internal support and guidance to engineering teams

Requirements

The role requirements below are just an indication of what we’re looking for – sometimes the perfect candidate is far more or less experienced than we anticipated. If you think that might be your case, please reach out and let us know! You should have demonstrable knowledge and experience in building and maintaining scalable infrastructure in the cloud, specifically:

3 years experience in AWS
Expertise in Kubernetes at least 2 years (or certifications)
Expertise in containers Docker at least 4 years
Expertise in CI/CD (Github Actions, Gitlab, Jenkins)
Expertise in monitoring (Prometheus, Grafana, Datadog)
Expertise in Security
Expertise in Networking
Strong knowledge of Linux environments
Experience provisioning infrastructure as code i.e. Terraform, Ansible, etc
Scripting experience in Bash, Python/NodeJS
Fluency in English
Ability to work in a fast-growth startup
Added value requirements:

Experience managing NoSQL and Relational DBs
Experience managing Hadoop infrastructure
Experience with log centralized systems
Knowledge of cloud network architecture and security
Experience managing high scalable services

Benefits

Competitive salary
25 days of annual leave plus the usual public holidays
Monthly team activities
Conferences, events and training resources – we offer £1,000 a year to each person for personal development
An international and diverse team
Exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields
Flexible working during summer