Site Reliability Engineer, BenevolentAI

Salary not provided

AWS

Kubernetes

Python

Terraform

Ansible

Rust

Prometheus

Grafana

Junior, Mid and Senior level

London

AI-drug discovery

Job no longer available

AI-drug discovery

201-500 employees

HealthcareB2BArtificial IntelligenceEnterpriseBiologyMachine LearningScience

Job no longer available

Salary not provided

AWS

Kubernetes

Python

Terraform

Ansible

Rust

Prometheus

Grafana

Junior, Mid and Senior level

London

201-500 employees

HealthcareB2BArtificial IntelligenceEnterpriseBiologyMachine LearningScience

Company mission

BenevolentAI's mission is to unlock the power of AI to transform drug discovery and bring effective medicines to every patient. Their vision is to drive transformational change through scalable technology solutions that result in a consistent pipeline of successful trials and new medicines for patients.

Job

Company

Role

Who you are

Ability to code and fluency in at least one programming language (Python/Go/Rust)
Hands-on experience with Kubernetes
Good understanding and experience in administering cloud technologies (we work with AWS, but experience with other cloud providers is also a benefit!)
Comfortable working with Unix-based operating systems
Good understanding of infrastructure-as-code and tools such as Terraform, Ansible, Helm
Experience with cloud networking, cloud operations, automation and orchestration
Basic understanding of network protocols such as TCP, HTTP/S and Load Balancing and the contexts in which they are used (for example, understanding the differences between AWS Application Load Balancer against AWS Network Load Balancer)
Experience with monitoring and alerting solutions (for example Grafana, Prometheus, CloudWatch)
Understanding of database technologies (for example, relational, NoSQL, Graph) and their basic use cases

What the job involves

As a Site Reliability Engineer, 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 top quality 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-practises for ensuring the software is resilient enough for our scientists to rely upon
You will be a core team member building and maintaining the underlying infrastructure that supports our AI-driven technology
You will also be adding your input into diverse areas such as authentication, network topology, sharded databases, scalable web services and interfaces to external data sources and APIs
Implementing software solutions for cloud infrastructure in accordance with specification and best engineering practises
Working towards improving long-term infrastructure availability and reliability
Monitoring and handling incident response of the infrastructure, platforms and core engineering services
Constructing pipelines to automate infrastructure and software deployments
Troubleshooting infrastructure, network and software issues
Staying up to date with recent technology trends and tools
Automating repetitive manual processes and procedures
Participating in on-call rotation to support Benevolent employees in their day-to-day activities

Salary benchmarks

Our take

There is a lot of research being done in the pharmaceutical industry. BenevolentAI say there's a new research paper being published every 30 seconds. They argue this information is not being used in a smart way for the discovery and development of new drugs.

To tackle this problem, BenevolentAI uses artificial intelligence to analyse biomedical information, from clinical trials data to academic papers. They can then identify molecules that have failed in clinical trials and predict how these same compounds can instead be more efficient targeting other diseases.

They argue this approach can dramatically accelerate the discovery of new drugs. They've collaborated with large pharma companies like AstraZeneca and Johnson & Johnson subsidiary Janssen Pharmaceutica. A SPAC merger of 1.5 billion euros included AstraZeneca as an investor and will help BenevolentAI accelerate product development.

It's a big market, with Global Market Insights estimating the global healthcare AI market will exceed $10 billion by 2024. This gives them a big opportunity, but it won't be an easy problem to tackle.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

51% female employees

15% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 3 rounds)

Sep 2019

$90m

LATE VC

Apr 2018

$115m

LATE VC

Total funding: $305m

Company benefits

Work from home opportunities

Company HQ

Fitzrovia, London, UK

Leadership

Joanna Shields

(CEO, not founder)

Long career in technology, having previously worked at Google, Facebook and Bebo. Appointed to the House of Lords in 2014 and works as a Digital Economy Adviser to the UK Government.

Michael Brennan

(Co-founder & Non-Executive Director)

Previously Head of Corporate Development at BenevolentAI. Before cofounding the company, they were Head of Corporate Development at Proximagen Group and Chief Executive of Novum Securities.

Ivan Griffin

(Co-founder & COO)

Worked as a Venture Capitalist for over a decade. Also helped launch Genomics England Ltd, a Company created to deliver the 100,000 Genomes Project as launched by the Prime Minister in 2013. Holds a D.Phil. in Cognitive Neuroscience from the University of Oxford where they also completed a year’s post-doctoral research.

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