Senior DevOps Engineer, Deep Genomics
+ Stock ownership
AI powered RNA therapy discovery
Be an early applicant
AI powered RNA therapy discovery
101-200 employees
Be an early applicant
+ Stock ownership
101-200 employees
Company mission
To untangle the complexity in RNA biology, and evaluates thousands of possibilities to identify the best therapeutic candidates.
Role
Who you are
- 5+ years of experience working as a DevOps/MLOps engineer, SRE, or infrastructure engineer
- Proficient in Infrastructure as Code tools (e.g. Terraform and Helm) in public cloud environments
- Deep expertise in containerization and orchestration technologies like Docker and Kubernetes
- Strong understanding of identity management and security best practices
- Extensive experience designing, implementing, and maintaining CI/CD pipelines (e.g. CircleCI)
- Demonstrated experience with mentoring and elevating other team members' skills to adhere to DevOps best practices
Desirable
- Experience with Python/Shell scripting and automation tools
- Hands-on experience with modern ML platforms and frameworks (e.g. Weights & Biases, Metaflow, MLflow, Ray) and familiarity with the operational challenges of scaling ML workloads
- Experience designing and operating hybrid-cloud architectures that span on-premises and cloud environments, with an emphasis on resilience, observability, and cost optimization
- Familiarity with secrets management, zero-trust architectures, and secure-by-default design patterns in regulated or privacy-sensitive environments
What the job involves
- As a Senior DevOps Engineer, you will play a key role in building, scaling, and optimizing the infrastructure and tooling that empowers our diverse scientific and engineering teams
- You will enable seamless development of our sophisticated ML models, software applications, and data pipelines
- Through close collaboration with teams across engineering, machine learning, and biology, you’ll help push the boundaries of drug discovery through thoughtfully engineered systems
- Manage infrastructure for software, data, and ML platforms, both in the cloud and our on-premises GPU clusters
- Design and implement integrations between infrastructure components (containing internal and 3rd party systems) to ensure seamless flow of data in a robust, reliable, and secure manner
- Streamline and/or automate operational tasks such as infrastructure provisioning, configuration management, and application deployment
- Implement and manage robust monitoring, logging, and alerting for key infrastructure components
- Collaborate closely with engineering, security, and compliance teams to implement and promote DevSecOps principles across the organization
Application process
- Deep Genomics thanks all applicants, however only those selected for an interview will be contacted
Our take
Deep Genomics uses AI to analyse genetic data with the aim of discovering and producing RNA-based genetic medicines. The company is currently running a series of programs with the aim of advancing to clinical trials in the near future.
RNA medical technology has been in development for over 40 years but never became mainstream, but the launch of BioNTech / Pfizer’s Covid-19 vaccine threw it into the public spotlight. This is set to accelerate the production of more and more RNA-based therapeutics, supplemented by AI which can quickly mine dense biological data to better evaluate potential candidates.
With its financial backing in the hundreds of millions, Deep Genomics now intends to radically boost its headcount and roll out more therapeutic discovery programs.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-22% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2021
$180m
SERIES C
Jan 2020
$40m
SERIES B
Total funding: $236.8m
Company benefits
- Highly competitive compensation, including meaningful stock ownership
- Health, vision and dental coverage for employees and families
- Flexible vacation time
- Facilities located in the heart of Toronto, next to the university and hospitals
- Direct access by subway, car and bicycle
- Hundreds of restaurants with foods from around the world
- Regular social events for team members and their families
Company HQ
Discovery District, Toronto, ON
Leadership
Brendan Frey, Ph.D.
(CEO)Professor of Engineering and Medicine at the University of Toronto. Co-founded the Vector Institute for Artificial Intelligence. They have carried out pioneering work in the fields of deep learning, genomic medicine, and information technology.
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