Here's the tl;dr:

• We are on a mission to make programming biology easy. We provide biologists with generative machine learning, software & services to discover, design and optimize proteins in less time.

• 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 our employees a top of the market salary, a generous equity stake in the company, inclusive parental leave policies, 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 customers are the world's leading biopharmaceutical, agriculture, food, materials and consumer product companies. Our mission is to accelerate human and planetary health by enabling teams to bring new therapeutic proteins and high-performing enzymes to market in a fraction of the time and cost.

What we're looking for

We’re looking to add a full-time DevOps/Cloud expert with an interest in security to our team.

Together with our existing DevOps engineer and the rest of the engineering team, you will build and maintain our GitOps cloud infrastructure, perform troubleshooting tasks and help the engineering team with their decisions regarding our infrastructure setup. You will also act as a go-to person to consult engineers on best practices regarding CI/CD, security, observability and operations.

You will not shy away from jumping into an ML/Ops Python codebase and help the ML team with their orchestration workflows.

Responsibilities:

As a DevOps engineer, you will be responsible for:

• Improving CI/CD automation of our Kubernetes based deployments using Terraform and ArgoCD

• Improving Cradle’s multi-tenant Terraform configuration and harden our Kubernetes cluster - setting up RBAC and access policies, configuring pod security standards

• Help unify monitoring and alerting for our production deployment and infrastructure

• Setting up a security information and events management system to collect logs and monitor events from production and corporate networks

• Help the ML Ops team improve workflow orchestration

Required skills

• 3+ years of industry experience in setting up, maintaining and troubleshooting Kubernetes systems

• Native Terraform speaker

• Excellent coding skills, preferably in Python

• Solid understanding of networking in cloud environments

Nice to have:

• Familiarity with GCP (specifically IAM, GKE, GCE, GCS)

• Experience in database administration (preferably PostgreSQL)

• Interest in IT security and SecOps

Ultra bonus points:

• Experience in ML-ops or infrastructure for data processing pipelines

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