Staff Software Engineer, Data Platform

Навыки

• AI-инструменты в работе
• Bamboo / CircleCI / Drone
• CI/CD
• Распределённые системы
• Elasticsearch
• Flink
• Kubernetes

О компании и продукте

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's 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, Ernst & Young, 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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• 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 across the organization, mentoring junior engineers
• 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
• 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

Требования

• 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 and various public cloud offerings
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems

Будет плюсом

• 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems
• Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)
• Show a track record of mentoring and leading teams in successful projects
• Experience driving cross functional collaboration and communication at an organizational or broader level
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)
• Experience with performance tuning and cost optimizations of cloud based data platforms
• Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs
• Experience scaling products at hyper-growth startups
• Excitement to work with AI technologies
• Please reference the job posting's subtitle for where this position will be located
• For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is
• 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

Условия

• 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 and may be inclusive of several career levels at Scale
• 252,000 — $315,000 USD

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