Principal MLOps Engineer

Weave is seeking a highly skilled and experienced Principal MLOps Engineer (Machine Learning / Data Engineering) to join their dynamic and self-empowered teams. The Principal MLOps Engineer will contribute both technically and non-technically, working closely with a team of talented developers. They will have the opportunity to apply their expertise to new and ongoing projects, making data more accessible, discoverable, and usable. The work of the Principal MLOps Engineer will directly impact the way customers experience Weave, and they will collaborate with a highly skilled team to achieve various goals while fostering the company's culture.

• Design and develop core data platform components for business process orchestration and workflows
• Build scalable and resilient services for data integration, event processing, and platform extensions
• Contribute to the evolution of product functionality for handling large volumes of data and traffic
• Write high-quality, performant, sustainable, and testable code with code quality accountability
• Coach and collaborate with team members, sharing expertise and encouraging best practices
• Work in a native cloud infrastructure, implementing functionality through distributed components and services
• Collaborate with stakeholders to translate product goals into actionable engineering plans
• Have high integrity, a team-focused approach, and strong collaboration skills
• Have 7+ years of experience in any backend language, such as Go, Java, or Python (strong experience in Go or Python is a plus)
• Have experience working with large datasets or managing hundreds of billions of records
• Have an understanding of distributed systems and expertise in building scalable, redundant, and observable services
• Have proficiency in architecting messaging systems, distributed data stores, and NoSQL technologies (e.g., Kafka, Google PubSub, Bigtable, Spanner, Vertica, Vitess, S3, Iceberg, etc.)
• Have experience building solutions on public clouds (e.g., AWS, GCP, etc.)
• Have experience with infrastructure as code and setting up and maintaining highly available systems
• Be a responsive individual with a strong bias for action.

• Design and develop core data platform components
• Build scalable and resilient services
• Contribute to the evolution of product functionality
• Write high-quality, performant, sustainable, and testable code
• Coach and collaborate with team members
• Work in a native cloud infrastructure
• Collaborate with stakeholders to translate product goals into actionable engineering plans
• 7+ years of experience in any backend language
• Experience working with large datasets or managing hundreds of billions of records
• Understanding of distributed systems and expertise in building scalable, redundant, and observable services
• Proficiency in architecting messaging systems, distributed data stores, and NoSQL technologies
• Experience building solutions on public clouds
• Experience with infrastructure as code and setting up and maintaining highly available systems
• Responsive individual with a strong bias for action

• Experience working with large datasets or managing hundreds of billions of records
• Understanding of distributed systems and expertise in building scalable, redundant, and observable services
• Proficiency in architecting messaging systems, distributed data stores, and NoSQL technologies
• Experience building solutions on public clouds (e.g., AWS, GCP, etc.)
• Experience with infrastructure as code and setting up and maintaining highly available systems
• Responsive individual with a strong bias for action
• Entrepreneurial spirit and a thirst for learning
• Demonstrated track record of delivering complex projects on time in enterprise-grade production environments
• Background in data analysis and visualization
• Management of distributed data technologies such as streaming, data mesh, data lakes, warehouses, or distributed machine learning
• Strong Experience with Kubernetes
• Experience with GCP
• Background in operations, such as networking, system administration, or DevOps/SRE
• Enjoyment of working in a greenfield environment using rapid prototyping
• Equal opportunity employer committed to diversity and inclusion
• Accommodation for individuals with disabilities or special needs