Database Engineer

Scale AI•San Francisco, CA

9h•Remote

About The Position

Scale is powering the generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. The Platform team is responsible for building the core abstractions and infrastructure on which products can be built and iterated rapidly. This 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. The ideal candidate has a growth mindset and is comfortable learning new technologies.

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)

Nice To Haves

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.
Experience supporting GPU/ML workloads.

Responsibilities

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.