Responsibilities - Architecting, building and developing large-scale infrastructure, distribute systems and networks;training other teams on these systems- Researching and developing new technologies in large scale decentralized computer and web3systems; integrating with core systems- Applying expertise with data structures or algorithms in an academic setting to create coreabstractions for 100s of thousands of users and 100s of millions of square miles of data- Working closely with operations, product development, and other engineering teams to deliverdata-intensive cross-functional platform solutions- Building auditable and observable systems that can robustly handle billions of video frames eachday- Helping to foster engineering excellence across backend development Qualifications - Master’s degree in Computer Science, Software Engineering, or a closely related field or foreignequivalent- 2 years (24 months) of experience with each of the following: - Building scalable, fault-tolerant, and high-performance distributed systems; infrastructureautomation and optimization. - Tools and technologies: Docker, Terraform, Apache Spark, Hadoop, PostgreSQL/PostGIS, Redis, Prometheus, Grafana, Git, AWS Lambda, AWS ECS, AWS Fargate, AWS EC2, AWS EMR, AWS Glue, AWS S3, and Node.js.