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.

This is a hybrid position – working 3 days a week from our Winnersh office.

• 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.

• 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.

• 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.

Mid‑Senior level

Full‑time

Information Technology

Software Development

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