At Causaly we are building the biggest knowledge platform in the world to empower people working on the most pressing issues in human health. To achieve this, we are teaching computers to read all knowledge ever published and develop an interface that allows humans to answer questions they can’t ask anywhere else.
The technology is self-developed and proprietary, powering a large Biomedical Causal Knowledge Graph. It helps researchers and decision-makers to discover insights from millions of academic publications, clinical trials, patents and other data sources, in minutes. Causaly is used by Pharmaceutical companies in Research and Commercial departments, for Drug Discovery, Safety and Competitive Intelligence.
We are a VC-backed tech company with offices in London and Athens, looking for an experienced and driven Senior DevOps Engineer who would work on building, scaling and automating our infrastructure and platform.
Designing, creating and maintaining the infrastructure and components for internal and external products.
Work with stakeholders in NLP/ML engineering, full-stack, knowledge engineering teams to design, build and continuously improve the infrastructure.
Provide support for high-level application issues.
Work on a variety of tasks related to our platform.
Scaling and automating new and existing IT components.
Manage the infrastructure to handle volumes of data in various formats, e.g. comma-separated, json, relational, graph database formats etc.
BSc in a related technical field
5+ years experience working in a related field
Excellent knowledge of IaC.
Experience with container technologies and automation tools.
Excellent knowledge of Linux environments including scripting (Bash and Python).
Good knowledge of cloud architecture and best-practices.
Experience with monitoring tools (e.g. Datadog).
Previous experience working in a startup and able to adapt to new/changing requirements.
Multi cloud experience (AWS/GCP/Azure)
Support security related tasks (e.g. implementing/running internal scans).
Supporting ElasticSearch clusters.
Individual training budget for professional development
Plenty of opportunity to take on more responsibility as we grow
Be part of a multinational, diverse and exceptional early team that builds a transformative knowledge product with the potential to have real impact
Regular team outings (post-COVID)
Annual team retreat to secret destination (post-COVID)
Easily accessible office in the heart of Angel, Islington
Causaly is co-founded by automation expert Artur Saudabayev and computer scientist, and language enthusiast Yiannis Kiachopoulos. Our founders believed that by applying machine learning to the world’s scientific literature, they could radically transform the rate of biomedical discovery and progress. Fast forward 3 years, Causaly’s AI reads the entire volume of biomedical literature ever published in seconds. Our platform allows anyone to run deep searches and find the answers to complex research questions that would have previously taken weeks, or even months to find with traditional keyword search. We give our users the key hidden evidence they need to make new hypotheses and discoveries. Our mission is to democratize access to the world’s scientific literature, helping biomedical leaders to drive change, and accelerate life science discovery. Best of all, anyone can use Causaly. No semantic search knowledge required. “Imagine you had a friend who had read every biomedical paper ever written - what would you ask them?” We work with pharmaceutical leaders, consumer goods manufacturers, bench scientists, life science investors, regulators, clinical librarians, market access consultants, academic researchers and more.