Senior DevOps Engineer

About us 

Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources… in minutes. 

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly 

We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon. 

About the role: 

The Senior DevOps Engineer will work on building, scaling and automating our infrastructure and platform. The Devops team manages infrastructure in all 3 major cloud vendors and candidates are expected to work in all 3. Please note that we are unable to sponsor visas for this position.

Responsibilities:

• Designing, creating and maintaining the infrastructure for Causaly Cloud products.
• Work with stakeholders across multiple 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 components.
• Manage the infrastructure to handle volumes of data in various formats, e.g. comma-separated, json, relational, graph database formats etc.

Minimum Qualifications:

• BSc in a related technical field or equivalent practical experience.
• Experience with multiple cloud providers.
• Excellent knowledge of Terraform.
• Excellent knowledge of Linux environments including scripting (Bash and Python).

Preferred qualifications:

• Experience with container technologies and automation tools.
• 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.
• Support security related tasks (e.g. implementing/running internal scans).
• Supporting ElasticSearch clusters.
• Experience with data warehouses, pipelines and data engineering for large datasets.

• Competitive compensation package 
• Private medical insurance (underwritten on a medical health disregarded basis) 
• Life insurance (4 x salary) 
• Individual training/development budget through Learnerbly 
• Individual wellbeing budget through Juno 
• 25 days holiday plus public holidays and 1 day birthday leave per year 
• Hybrid working (home + office) 
• Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product 

Be yourself at Causaly... Difference is valued. Everyone belongs. 

Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. 

We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.