Senior DevOps Engineer 6 Months Remote Worker £800p/d Max via Umbrella ASAP Start Description:
The Onyx Research Data Platform organization represents a major investment by R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
- Building a next-generation data experience for scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on "data mechanics"
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time
An Onyx Engineer is a technical contributor who enjoys solving complex problems as part of a collaborative and agile team. We are seeking engineers who are passionate about technology and learning, as well as supporting DevOps tooling to enable other engineering teams to operate with a DevOps ethos. As a DevOps Engineer in Onyx, you will be part of a team that is driving change at .
- Collaborate closely with Product and Engineering teams to build new features and capabilities for our services
- Propose and define good engineering practices to be adopted by the organization
- Work in a multi-disciplined engineering team to deliver capabilities that empower other platform and engineering teams
- Continuously and proactively identify and develop areas to improve monitoring/alerting, reliability, performance, and automation
- Develop automated solutions and integrations to enable fluid self-service flows
- Write, review, and maintain code written in JavaScript/TypeScript (Node), golang, and python
- Automate away the process of managing capacity, safely deploying software, and mitigating system failures
- Continuously learn by staying up to date on the latest technology trends in our space, feed recommendations back to the teams with RFCs (Request for Comment)
- Deep knowledge and use of at least one common programming language: e.g., Python, Ruby, JavaScript/TypeScript, go, including toolchains for documentation, testing, and operations / observability
- Expertise with non-imperative programming paradigm
- Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, ...)
- Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code
- Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, GitHub Actions, Azure DevOps, CircleCI, GitLab)
- Solid understanding of and experience with networking, virtualization, storage, containers, and serverless
- Expertise in designing highly available and scalable systems, implementing performance monitoring on those systems
- Demonstrated excellence with agile software development environments using tools like Jira and Confluence
- Deep familiarity with the tools, techniques, etc relevant to their specialization area, including engagement with the open source community (and potentially making contributions to such tools)