Join us.

Engineering

Site Reliability Engineer

The Company

BenevolentAI unites technology with human intelligence to re-engineer drug discovery and deliver life-changing medicines. We have developed the Benevolent Platform®, a drug discovery platform built on powerful data foundations with state of the art machine learning and AI technology. Our technology empowers scientists to decipher the vast and complex code underlying human biology, find new ways to treat disease and personalise medicines to patients. Benevolent has active in-house R&D drug programmes in disease areas such as neurodegeneration, immunology, oncology and inflammation and has research and commercial collaborations with leading pharmaceutical and research organisations. The company is headquartered in London with a research facility in Cambridge (UK) and a further office in New York.

Who we are

We are an eclectic bunch at Benevolent, united by our belief that innovative thinking and purposeful technology can truly change outcomes for the better. Our mission is to re-engineer drug discovery and deliver life-changing medicines for patients in need and we do this by applying AI, machine learning and other advanced technologies to reinvent the ways drugs are discovered and developed. We strive to bring together unique skills and perspectives across biology, chemistry, engineering, AI research, informatics, precision medicine and drug discovery.

The Role

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-practices 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.

Primary Responsibilities

  • Ensuring infrastructure availability and reliability.
  • Monitoring and handling incident response of the infrastructure, platforms and core engineering services.
  • Working together with cross-functional squads to deliver robust infrastructure implementations.
  • Continuous improvement of deployed infrastructure and tackling technical debt.
  • Constructing pipelines to automate infrastructure deployments.
  • Troubleshooting infrastructure, network and software issues.
  • Maintaining company’s bare metal and cloud infrastructure.
  • Staying up to date with recent technology trends and tools.
  • Automating repetitive manual processes and procedures.
Additional Responsibilities
  • Designing the architecture of bare metal and cloud infrastructure in accordance with specification and best engineering practices.


We are looking for someone with

  • Hands-on experience with Kubernetes.
  • Good understanding of Cloud Technologies.
  • Good understanding of Linux operating systems.
  • Familiarity with the concept of infrastructure-as-code and tools such as Ansible, Terraform, Helm.
  • Knowledge of network protocols and components such as BGP, TCP, HTTP/S and Load Balancing.
  • Experience with programming languages (Python/Java/Go/C++).
  • Comfortable with on-call rotation.

Nice to haves...

  • Good understanding of the AWS shared responsibility model.
  • Experience designing, developing and administering the infrastructure of cloud environments (AWS, Azure, or GCP).
  • Experience with configuring and using monitoring and alerting solutions such as InfluxDB/Grafana/Prometheus.
  • Knowledge of cloud networking architecture, cloud operations, automation and orchestration.
  • Knowledge of scalability challenges associated with containers, distributed systems and large-scale web applications.
  • Knowledge of quality of service measurement tools (SLIs, SLOs, SLAs).

Together, we envision a world in which no disease goes untreated. If you are benevolent, curious, want to tackle real world problems and are willing to embrace new ideas, hit that ‘apply’ button and join us.

Important Note

It has come to our attention that unfortunately fraudsters have been falsely offering jobs and set-up fake interviews under the guise of being a Benevolent recruiter. We therefore advise you to be very stringent about who is reaching out to you. Any enquiry from our team will only be made via the email careers@benevolent.ai or an email from this domain @benevolent.ai. Please flag any suspicious contact request to hello@benevolent.ai