Staff Software Engineer, Data Infrastructure

Company: Tbwa Chiat/Day Inc
Location: San Francisco
Posted on: February 17, 2025

Job Description:

Staff Software Engineer, Data InfrastructureSoftware 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 eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.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 platforms and systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, and underlying infrastructure. 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, and implementation of our foundational 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 drive 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.Ideally you'd have:
  • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems.
  • Extensive experience in software development and a deep understanding of Distributed Systems, Cloud Platforms, and Data Science.
  • A track record of mentoring and leading teams in successful projects.
  • Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. in multiple clouds.
  • Strong experience with orchestration platforms, such as Temporal and AWS Step Functions.
  • Experience with document (MongoDB), relational (Postgres), and highly distributed databases (TiDB, ScyllaDB).Nice to haves:
    • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
    • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
    • Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
    • Experience scaling products at hyper-growth startups.
    • Excitement to work with AI technologies.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, 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 learning and development stipend, and generous PTO.Base Salary Range: $212,000 - $254,400 USD in San Francisco, New York, Seattle.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.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.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.
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Keywords: Tbwa Chiat/Day Inc, San Francisco , Staff Software Engineer, Data Infrastructure, IT / Software / Systems , San Francisco, California