Staff Software Engineer, Data Platform
AI summary of the role
Lead the design and development of core data storage, streaming, caching, and indexing platforms at Scale AI, working on foundational systems that power the company's GenAI products.
What you’ll do
- Drive the architecture, design, implementation, and reliability of foundational data platforms and systems.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify opportunities for and drive improvements to current programming practices and tooling.
- Present technical information to teams and stakeholders, providing guidance on development processes.
What you’ll bring
- 8+ years of full-time engineering experience in back-end systems building large-scale data storage, streaming, and warehousing systems.
- Extensive experience with database technologies (MongoDB, Postgres), streaming/processing (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and data query engines (Trino, Presto, Snowflake).
- Track record of mentoring and leading teams in successful projects.
- Experience with containerization and deployment technologies like Kubernetes and public cloud offerings.
Technologies
MongoDB · Postgres · Kinesis · Flink · Spark · ElasticSearch · Redis · Trino · Presto · Snowflake · Kubernetes · CircleCI
About Scale AI
Data, evals, and GenAI platform for frontier labs, enterprises, and governments — the picks-and-shovels layer for production AI.
Series G
Source and classification
Internal deployment & tooling · Evidence for this classification:
generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features.
More from the job description
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Sc [... source excerpt omitted ...] mpanies. You will: Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborate with cross-functional teams to define, design, and deliver new features. Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Provide technical leadership, including: upholding and upleveling engineering standards a [... source excerpt omitted ...] sive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a le
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