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Senior DevOps Engineer

full-time BenevolentAI London

Senior DevOps Engineer


BenevolentAI harnesses artificial intelligence to enhance and accelerate scientific discovery by making sense of highly fragmented information to create new insights and usable knowledge that benefit society.

The Role

An accomplished Senior DevOps Engineer (or Systems Administrator with a passion for DevOps), possessing a proven track record administering Linux systems both on premises and cloud fleets. Understanding of modern IT architectures and how to best plan for and administer high volumes of data efficiently and securely. Concepts such as AWS/GCP, Kubernetes/Mesos, Infrastructure-as-code and networking should be familiar territory to you.

You will be familiar with containerised build and continuous release environments, as well as care and feeding of the Atlassian/GitLab/Jenkins toolsets. You will be a core team member building and maintaining the underlying infrastructure that support our AI-driven technology. You will be supporting your colleagues responsible for office IT infrastructure and adding your input into diverse areas such as authentication, network topology, sharded databases, scalable web services and interfaces to external data sources and APIs.

The Company – Benevolent.AI

This is a great opportunity to get involved at a startup with strong financial backing and global ambitions.

Our office, a converted leather factory between Euston and St Pancras stations, is relaxed and unique, with a friendly atmosphere and a diverse team of clever people from around the world. We care about what we do, but we generally do not work long hours.

Our mission is to increase the efficiency and success of the R&D process. Society has created huge quantities of complex information and data but the ability to use this to create knowledge for drug discovery and development is still at its infancy. However, the tools and technologies to explore this data are rapidly developing and Benevolent.AI’s aim is to use deep judgement and applied AI combined with pharmaceutical expertise to accelerate the process by which new medicines are discovered and developed.


Must have 5+ years experience managing Linux systems, with particularly excellent knowledge of Ubuntu/Debian environments. Shell scripting, using and supporting AWS/GCP, Docker/Kubernetes, and Terraform must be part of your toolkit.

Desirable experience: deployment and use of monitoring tools; Python; maintaining MySQL/PostgreSQL/Neo4j/other NoSQL or Graph databases; understanding of big data technologies like Spark/EMR; networking; configuring Cisco or other router operating systems. Configuring and using monitoring and alerting solutions (ie., InfluxDB/Grafana/Prometheus/DataDog)

You will be working alongside our autonomous cross-functional squads. You will advocate high-quality engineering and best-practice in production software as well as providing the infrastructure to both build rapid prototypes and launch production-quality services. You must be a strong communicator who can explain what is required to build and deliver great software products. You will be keen to work with the rest of the team and develop collaboratively.

You will promote test-driven-development and other Agile best-practices for ensuring the software is resilient enough for our scientists to rely upon. Any experience of implementing and monitoring HPC and/or storage infrastructure (including GPU computing) for our AI driven technology will be a distinct advantage.


Competitive salary, depending on experience, annual bonus, share options and comprehensive benefits.

If this challenge and opportunity excites you, please email your CV and a covering letter to
published: Feb. 18, 2018

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