Job Title Senior Cloud Infrastructure Engineer Job Description Today, nearly every business in the world has to do bookkeeping and accounting in order to file taxes, understand financial health, and most importantly, make strategic business decisions. The process is universally manual, tedious, and error prone. At the same time, the process follows well-defined rules, abides by industry standardization, and has become increasingly data-rich. It's a product-focused machine learning team's dream. Sage Ai is a nimble team within Sage Intacct building the future of cloud accounting by leveraging artificial intelligence. The Sage Ai team builds capabilities to help businesses make better decisions through data-powered insights. We are currently hiring a Senior Cloud Infrastructure Engineer to help us build a Machine Learning platform 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! This is a hybrid position - working 3 days a week from our Winnersh office. 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 leveraging technology. - Enjoy working in high performing teams, which value learning, shared responsibility and moving fast. 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 - Knowledge of, and experience automating cloud infrastructure (AWS, Azure or GCP). - Ability to solve problems that span multiple interconnected systems. - Software Engineering background (Python, Go) - Ability to design, reason about, explain and implement end-to-end distributed solutions. - Experience with Linux, Kubernetes, Docker, Terraform. - AI/ML tooling (Nice to have) - Great communication and collaboration skills LI-RS2 Function Cloud Operations Country United Kingdom Office Location Winnersh Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. Learn more about working at Sage: sage.com/en-gb/company/careers/working-at-sage/ Watch a video about our culture: youtube.com/watch?v=qIoiCpZH-QE We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at careers@sage.com. Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/