Uniting human and machine intelligence to discover new ways to treat disease.
Artificial Intelligence • Drug Development • Scientific Innovation • Machine Learning • Engineering
August 22
🏢 In-office - London
Uniting human and machine intelligence to discover new ways to treat disease.
Artificial Intelligence • Drug Development • Scientific Innovation • Machine Learning • Engineering
• Implementing software solutions for cloud infrastructure in accordance with specification and best engineering practices. • 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.
• Ability to code and fluency in at least one programming language (Python/Java/Go/C++ preferred). • 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 Ansible, Terraform, Helm. • Experience with cloud networking, cloud operations, automation and workload 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 and AWS Network Load Balancer). • Understanding of quality of service measurement tools (SLIs, SLOs, SLAs). • Experience with monitoring and alerting solutions (for example InfluxDB/Grafana/Prometheus). • High-level understanding of database technologies(for example, relational, NoSQL, Graph) and their basic use cases.
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