Job Description
Job Title
Senior Cloud Infrastructure Engineer
Advert
People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than thirty years, and people are driving our future as a great SaaS company. We're writing our next chapter. Be part of it!
At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.
We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! . If you would like support with your application (or require any adjustments) please contact us at for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.
Job Description
Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.
We are currently hiring a Senior Infrastructure Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Data Science and Machine Learning effort.
If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!
Key Responsibilities
You may be fit for this role if you:
- Are experienced in building scalable infrastructure using cloud native technologies.
- Are a software craftsman who believes in shipping quality software daily.
- Value pragmatism and simplicity and find pleasure in effectively using technology.
- Enjoy working in high performing teams, which value learning, shared responsibility and adapting quickly.
You might work on:
- Production cloud infrastructure for hosting and monitoring machine learning services and APIs
- Infrastructure to allow data scientists and data engineers quick experimentation and training of ML models
- Frictionless scalable deployment pipeline from experiments to production
- Building tools to help engineering teams deliver high quality software and iterate quickly
Required Skills/Experience:
- 5+ years of relevant industry experience
- Knowledge of, and experience automating cloud infrastructure (AWS or GCP)
- Ability to solve problems that span multiple interconnected systems
- Ability to design, reason about, explain and implement end-to-end distributed solutions
- Experience with Linux, Kubernetes, Docker, Terraform
- Great communication and collaboration skills
Function
Technology
Country
United Kingdom
Office Location
Newcastle;Remote;London
Work Place type
Hybrid