Staff Software Engineer - Infrastructure

February 7

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Domino Data Lab

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Domino Data Lab is a company that empowers AI-driven enterprises to build and manage AI at scale through its Enterprise AI Platform. The platform provides an integrated experience for model development, MLOps, collaboration, and governance, enabling global enterprises to innovate across various sectors. Domino supports better medicinal development, productive agriculture, and competitive product creation. Established in 2013 and backed by notable investors like Sequoia Capital and NVIDIA, Domino enables companies to optimize AI deployment effectively.

Analytics • Machine Learning • Data Analysis • Predictive Analytics • Data Science

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

📋 Description

• At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. • The Distributions team is at the forefront of ensuring our platform is scalable, reliable, and high-performing across a diverse range of deployment environments. • Your work will directly influence scalability, reliability, and developer experience. • Design and develop software solutions that guide our customers through their full lifecycle. • Develop a flexible, scalable, and extensible set of shared services to power our product’s future growth.

🎯 Requirements

• 8+ years previously in a software engineering individual contributor role • Kubernetes Expertise – Proven experience designing, deploying, and managing Kubernetes clusters and workloads in production environments. • Software Development – Strong proficiency in building reliable, scalable software, preferably in Python or Go. • Containerization Knowledge – Experience with container technologies such as Docker, containerd, CRI-O, and podman. • Cloud-Native Architecture – Hands-on experience designing and operating cloud-based systems on AWS, GCP, or Azure. • Infrastructure as Code – Familiarity with automation tools like Terraform, CloudFormation, and Helm to streamline infrastructure management. • Linux Systems Expertise – Deep understanding of Linux system internals, including kernel fundamentals and low-level system operations. • Distributed Systems Experience – Strong grasp of distributed computing principles and best practices. • Effective Communication – Ability to articulate technical concepts, collaborate across teams, and document processes clearly. • Independent Problem-Solving – Capable of working autonomously and driving initiatives to completion.

🏖️ Benefits

• equity • company bonus or sales commissions/bonuses • 401(k) plan • medical, dental, and vision benefits • wellness stipends.