Here's the tl;dr:

We are on a mission to make programming biology easy. We provide biologists with the software, machine learning & services to discover, design and optimise enzymes and their cell-factories to ultimately produce almost anything.
We're an experienced team. We have built many successful products before and we have raised enough funds to have plenty of runway for the years to come!
We're focused on building the best possible team culture. We're distributed across two locations, and are flexible about when and where we work.
We offer top of the market salary, a generous equity stake in the company and a wide range of benefits from health and wellbeing, financial, to training and career progression opportunities.

This is Cradle

Cradle helps teams to engineer proteins with fewer, more successful experiments. We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. We are bridge builders who bring together the best of machine learning, synthetic biology, developer tools, and user experience design. Our mission is to enable a world where most of the products around us can be easily made and degraded biologically using a cell-factory instead of (petro-)chemicals, plants or animal agriculture.

What we're looking for

We’re looking to add a full-time or consultant DevOps expert for our team.

Your job would be assisting the engineering team with managing the cloud infrastructure and application deployment.

You'll both perform the maintenance and troubleshooting tasks, but also help the team to choose the right direction for our infrastructure setup. You will be our go-to person to consult on best practices regarding CI/CD, security, observability and operations.

Your first tasks might include:

Terraforming Cradle's backend and frontend infrastructure for easy deployment on customer premises (AWS and GCP)
Designing and creating the infrastructure for frictionless updates of on-prem installations
Hardening our Kubernetes cluster - setting up RBAC and access policies, configuring pod security standards
Setting up DNS, load balancer and ingress for Cradle APIs
Building continuous delivery pipeline for our backend services

Required skills

Track record in setting up, maintaining and troubleshooting cloud-based production systems
Deep understanding and work experience operating Kubernetes clusters
Deep understanding of Terraform and related technologies
Solid understanding of networking in cloud environments
Fluent English and good communication skills

Nice to have:

Familiarity with GCP and AWS (specifically IAM, GKE, GCE, GCS)
Experience in database administration (preferably PostgreSQL)
Familiarity with Python
Interest in SecOps

Ultra bonus points:

Experience in ML-ops or infrastructure for data processing pipelines

Cradle helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.

We use generative machine learning models, accessible through user-friendly software interfaces, to help engineer protein properties such as stability, expression, activity, binding affinity and specificity. Our mission is to ultimately help more people build with biology and replacing traditional farms and factories for a more sustainable world.

You will be joining a high-growth, highly ambitious startup with an experienced founding team, whose motivation is building a more sustainable world using biology. We are backed by some of the most well known investors and industry veterans. Joining us now means you will be getting in on the ground floor; you will have a significant impact on how we shape the company, and success will mean an outsized reward.

Did we pique your interest? We'd love to hear from you. Please use this form to apply directly.

Cradle

New Jobs

DevOps Engineer