Position: Senior DevOps Engineer
Company: Freelance
Category: DevOps
Experience required: 5y
English level: upper

The current toolkit for developing drugs is focused almost entirely on protein targets. The actions of these proteins however are known to be influenced by areas of the genome that do not encode proteins, the non-
coding genome classically termed “junk DNA”. Variation in the non-coding genome, the “dark genome” is associated with many diseases but remains inaccessible by classical drug discovery.
We are building a company at the intersection of machine learning, novel chemistry, and RNA biology to shine a light on the dark genome.
We are curious, nimble, breaking new ground, and growing fast. Come make an impact with us and be part of our story.

**Responsibilities:**
We are seeking curious people, with a desire to make a significant impact on the strategy and culture of the company. Your responsibilities will include the following:
• Build, configure, design, and support cloud services based and tooling with “infrastructure as code”.
• Establish DevOps best practices and technology used to deliver quality products on time
• Assist in the identification and implementation of new services
• Support security certificates, key management, and firewall configurations
• Develop scripts using configuration management frameworks: Ansible, Terraform
• Maintaining development life cycle environment for automated application deployment through all
environments and regions (Development, QA, Release Candidate and Production)
• Help promote culture change of DevOps in the organization
• Create best-in-class tools for monitoring and operations.
• This is internal-facing role. In this role, your main “clients” will be members of our engineering team. You will
help the team achieve their objectives with the scientific and technical development of the machine learning
pipelines at the intersection of RNA biology and chemistry.
• You will be working closely with the engineers and biologists and help to influence experimental design, target selection, and progression of biology programs.

**Requirements:**
• MSc/BSc or equivalent in a quantitative field (e.g., computer science, computational biology, bioinformatics, statistics, or equivalent).
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with cloud-based (AWS, Azure, Google Cloud) IaaS management frameworks: configuration, operations, auto-scaling
• Experience building a CI/CD pipeline
• Experience with end-to-end ownership and engineering practices for AI/ML pipelines.
• Experience with Python
• Knowledge of modern tools for ML such as Tensorflow, Pytorch
• Outstanding communication and leadership skills;
• English – Upper-Intermediate or higher.

**Nice to have:**
• Experience with containerization and deployment of machine learning models.
• Understanding of both emerging and foundational machine learning methods (supervised/unsupervised) such as linear/nonlinear methods for regression, classification, and dimensionality reduction, deep learning
(CNNs, RNNs, GCN, transformers). Experience with graph-based representations is a plus.

**What we offer:**
• We offer an opportunity to work at a rapidly growing YC-backed start-up. Your work will have a direct impact on the experiments we run, and the direction of the drug discovery programs. You have the ability to propel your
career forward with significant responsibility and autonomy.
• We pride ourselves in an environment that cultivates curiosity, creativity and autonomy, where why, is always the most important question.
• Our stellar team Includes industry leaders in Pharma, AI, and RNA Biology. You will work closely with thought leaders in the field and shape the future of RNA drug discovery.

**RATE PER HOUR: 35$-50$**