Staff Software Engineer, Platform

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 thats 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. As a Staff Software Engineer you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration data abstraction data pipelines identity & access management and underlying cloud infrastructure. Youll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises startups governments and large tech companies.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems acting as a bridge between high-level business goals and technical goals.
• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth driving improvements in programming practices and upgrading the tools that define our development lifecycle.
• Technical Mentorship: You will serve as a subject matter expert presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally youd have:

• 8 years of full-time engineering experience post-graduation with specialities in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects
• Possess 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.
• Experience with orchestration platforms such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake Firebolt) and data pipeline/ETL tools (Dagster dbt).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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 Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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