Oct 14 2020
Are you excited at the prospect of working on ground-breaking projects that leverage and develop novel, cutting-edge systems, technologies and methodologies that have a huge impact on health, wellness, and patient outcomes around the globe?
If so, then read on to learn more about an exciting opportunity for you in the GSK’s R&D Innovation Team!
As an Innovation Engineer , you will work on the design, development, and implementation of new systems and methodologies that will leverage, but are not limited, to Infrastructure as Code, Containers, Cloud, Blockchain, Quantum Computing, Big Data, Knowledge Graphs, Cyber Security, Artificial Intelligence and Machine Learning.
You will be part of a multi-disciplinary team within GSK’s R&D Technology with experience in Entrepreneurship, Data Science and High-Performance Computing.
Our members are passionate about technology innovation. Some hold multiple PhDs, have worked in Silicon Valley (California) and at the IBM TJ Watson Research Centre (New York) for the US government.
We have consistently delivered excellent results on mission-critical problems using scalable expertise and bleeding-edge technologies and methods.
GSK leadership is leveraging us to ideate, create, and productionize novel, ground-breaking, high-value solutions for increasingly complex and critical challenges.
You need to have a Master in disciplines like Mathematics, Physics, Statistics or Computer Science. We expect that you will be able to work independently, if necessary, but also be a good team player to collaborate in the development and integration of solutions for our most challenging projects.
One of key principles of performant and scalable solutions is the infrastructure on which the solution is deployed. The ideal candidate will have a proven track record of delivering enterprise solutions across multiple clouds or a with a hybrid-cloud / burst architecture.
building and pioneering new development tools and environments, understanding hybrid cloud and cloud agnostic infrastructures and high pace / high quality deliveries through use of automation and deployment techniques.
The ideal candidate should also have experience developing tools and technologies within containers, with the ability to customise or even self-develop (multi-layers) Dockerfiles following industry best practices for container management and vulnerability scanning etc.
Alongside, a key aspect will be reliably deploying large software ecosystems to Kubernetes environments with a detailed understanding of the wider CNCF landscape.
Primarily leveraging Helm to deploy and manage the Kubernetes applications.
Exposure to Site Reliability Engineering is a plus as the role within the Innovation Team requires a comprehensive knowledge of not only software engineering but the operational side of application delivery.
As an innovation team we often work on new and novel technologies that cannot be quickly transitioned into the regular support organization.
With this in mind we must incorporate and leverage monitoring technologies to alleviate the manual overhead of support. Finally, a knowledge of distributed and or virtual data storage systems would be a bonus in a hybrid cloud enterprise.
Basic Qualifications :
We are looking for professionals with these required skills to achieve our goals :
Master in Mathematics, Physics, Statistics or Computer Science
Minimum 7 years as a full-time Software Engineer or 7 years as Site Reliability Engineer
Minimum 7 years in design, implementation and productionalisation of large-scale enterprise systems
Minimum 3 years in Cryptography / Cyber Security connected to REST API design and development
Minimum 3 years in Infrastructure-as-Code experience : Terraform, Ansible or Cloud templates
Expertise with container technologies : Kubernetes, Helm and Dockers
Professional DevOps experience : Jenkins, Azure DevOps, CI / CD or Junit