Engineer systems, system engineer
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As Senior Distributed Systems Engineer, your technical skills will be leveraged to drive the development and deployment of high quality, scalable AI solutions. This is an opportunity to work end-to-end on a large-scale machine-learning system that touches millions of customers, and a chance to continuously learn and help improve our solution as the field evolves. This role requires previous experience building distributed systems at scale.
- Develop scalable, highly available, and fault tolerant services powering our Machine Learning platform according to industry standards for performance, monitoring, orchestration, and testing.
- Design, deploy, and maintain Machine Learning services such as a feature store, experimentation platform, model endpoint management/blue-green deployment, vector databases, etc.
- Collaborate with product and engineering stakeholders to empathetically understand and define requirements for complex systems, and develop complex projects from conception into rigorous technical specifications with a clear path to production.
- Minimize risk across platform/system deployments, features, and processes.
- 4+ years software engineering experience
- Experience architecting, building, and maintaining production distributed systems at scale
- Exemplary software engineering skills (design, unit testing, git, code review, CI/CD)
- Advanced experience with Python
- Experience with large-scale data processing frameworks (we use SQL, PySpark, Kafka)
- Experience with cloud computing platforms (we use Google Cloud Platform (GCP))
- Experience with modern cloud technologies (we use Kubernetes, Terraform, etc)
- Experience implementing performant microservices (we use gRPC)
- Proficient in database management, including designing database schema, crafting efficient queries, performing basic DBA tasks, and knowledgeable regarding common databases relevant to Python development
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