Staff Software Engineer, Data Platform

November 26

Apply Now
Logo of Domino Data Lab

Domino Data Lab

Artificial Intelligence • Enterprise • SaaS

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.

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series F on 2022-06

📋 Description

• Build and enhance foundational Data Platform and Governance capabilities that improve how users access, track, and manage data and AI assets across Domino • Contribute to and extend the open-source technologies that underpin Domino’s data and metadata systems • Develop clear, thoughtful technical designs and effectively communicate architectural decisions to engineers, product managers, and other stakeholders • Raise the quality bar across the codebase through design reviews, code reviews, and mentorship of fellow engineers • Partner closely with product managers to shape requirements, plan work, and deliver well-scoped solutions on time with high technical integrity

🎯 Requirements

• Extensive backend engineering experience (typically 10+ years), with a strong foundation in distributed systems, data-intensive applications, or event-driven architectures (e.g., Spark, Kafka, Hadoop, Flink, etc.) • Strong API design skills, including experience building and evolving REST, gRPC, GraphQL, or similar interfaces used across multiple teams or products • Proficiency in one or more backend languages such as Scala, Go, Java, or Python, with a track record of delivering high-quality, high-performance services in production • Hands-on experience with cloud-native development, including Docker, Kubernetes, CI/CD pipelines, and deploying/operating services in cloud environments • Deep understanding of system design and architecture, with an ability to break down complex problems and design scalable, maintainable solutions • Experience building production-grade systems (ideally in Scala or Go) used by internal or external customers • Familiarity with service-oriented or microservices architectures, with the ability to design modular, reliable services that integrate cleanly with larger platforms • Strong problem-solving skills, comfort operating in a fast-moving environment, and the ability to navigate ambiguity with sound technical judgment • A collaborative and dependable teammate, capable of driving work independently while contributing positively to team culture and engineering excellence.

🏖️ Benefits

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

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