Description

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.

Read how Causaly is used in Target Identification here: https://www.causaly.com/blog/ai-supported-target-i...

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.

 

Responsibilities

  • 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.

Requirements

Minimum qualifications:

  • 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).

 

Preferred qualifications:

  • 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.

Benefits

  • Competitive Salary
  • 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

Short Info

  • Added:130 Days ago
  • Office:London, United Kingdom
  • Category:DevOps Engineer
  • Employment Type:Full Time
  • Experience:Senior

Company Info

Causaly
  • Address: Athens
  • Industry: R&D