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Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies.
Job Responsibility:
Build and mature database foundations for Scale, leveraging industry-standard platforms
Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc
Own services or systems and define their long-term health goals, while also improving the health of surrounding components
Mentor other engineers and become deeply involved in architectural design and database best-practices
Improve our high engineering standards, tooling, and process
Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs
Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale
Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability
Requirements:
5+ years of industry experience as a database engineer post graduation
Engineering experience with building real-time and distributed system architecture
Experience designing and self hosting databases on industry standard public cloud platforms
Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis
Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication
Experience developing and optimizing backup and restore functionality to meet RTO goals
Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++
Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform)
bonus points for experience supporting GPU/ML workloads
Nice to have:
Prior startup experience to help us grow responsibly
Experience with AWS, Datadog, ElasticSearch
Experience with cloud-based data warehouse solutions like Snowflake or Databricks
Experience with cost optimization strategies and techniques for database platforms
Experience developing and designing intermediary data abstraction layers
Mentored and grown members of your team or been a tech lead on large projects