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About the Role
The Platform Engineering team at Scale designs and develops core data storage, streaming, caching, and indexing platforms and underlying systems. This role offers exposure to the forefront of AI development within enterprises, startups, and large tech companies.
Responsibilities
- Drive the design, implementation, and reliability of foundational data platforms and systems.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Proactively identify and drive improvements to current programming practices, including process enhancements and tool upgrades.
- Present technical information to teams and stakeholders, providing guidance on development processes and technologies.
Requirements
- 5+ years of full-time engineering experience, post-graduation, with specialties in back-end systems.
- Experience building large-scale data storage, streaming, and warehousing systems.
- Experience in various database technologies (MongoDB, Postgres).
- Experience with streaming/processing solutions (Kinesis, Flink, Spark).
- Experience with indexing/caching (ElasticSearch, Redis).
- Experience with data query engines (Trino, Presto, Snowflake, etc.).
- Track record of mentoring and leading teams in successful projects.
- Excellent communication and collaboration skills.
- Ability to translate complex technical concepts to non-technical stakeholders.
- Experience working fluently with standard containerization & deployment technologies like Kubernetes.
- Experience with various public cloud offerings.
- Extensive experience in software development.
- Deep understanding of distributed systems, cloud platforms, and data systems.
Skills
- Back-end systems
- Large-scale data storage
- Data streaming
- Data warehousing
- MongoDB
- Postgres
- Kinesis
- Flink
- Spark
- ElasticSearch
- Redis
- Trino
- Presto
- Snowflake
- Mentoring
- Team leadership
- Communication
- Collaboration
- Kubernetes
- Public cloud platforms
- Distributed systems
- Cloud platforms
- Data systems
- Software engineering best practices
- CI/CD tooling (CircleCI)
- AI technologies
Experience Level
- 5+ years of experience
About the Company
- Scale's mission is to develop reliable AI systems for the world's most important decisions.
- Products provide high-quality data and full-stack technologies powering leading models.
- Helps enterprises and governments build, deploy, and oversee impactful AI applications.
- Works closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies.
- Expanding team to accelerate AI application development.
Equal Opportunity
- Inclusive and equal opportunity workplace.
- 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.
- Committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
- Complies with the United States Department of Labor's Pay Transparency provision.