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.

You will be:

• 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.

This role could be a fit if you have:

• 5+ years of industry experience as a database engineer post graduation.
• Engineering experience with building real-time and distributed system architecture.
• Experience designing and running databases on industry standard public cloud platforms.
• Deep familiarity with design, architecture, optimization, and tuning database platforms such as MongoDB, Postgres, MySQL, Redis.
• Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication
• Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand).
• Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads.

Nice to haves:

• Prior startup experience to help us grow responsibly.
• Experience with AWS, TiDB, 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.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.