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About the Role
Lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. Gain widespread exposure to the forefront of the AI race across enterprises, startups, governments, and large tech companies.
Responsibilities
- Drive the architecture, design, implementation, and reliability of foundational data platforms and systems, collaborating with stakeholders to refine requirements.
- Define, design, and deliver new features in collaboration with cross-functional teams.
- 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.
- Provide technical leadership, upholding and upleveling engineering standards, and mentoring junior engineers.
Requirements
- 8+ years of full-time engineering experience post-graduation, with specialties in back-end systems, large-scale data storage, streaming, and warehousing.
- Extensive experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and data query engines (Trino, Presto, Snowflake).
- Demonstrated track record of mentoring and leading teams in successful projects.
- Excellent communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience with containerization & deployment technologies like Kubernetes and public cloud offerings.
- Extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.
- Experience driving cross-functional collaboration and communication at an organizational or broader level.
Skills
- Back-end systems
- Large-scale data storage
- Data streaming
- Data warehousing
- MongoDB
- Postgres
- Kinesis
- Flink
- Spark
- ElasticSearch
- Redis
- Trino
- Presto
- Snowflake
- Kubernetes
- Public cloud offerings
- Distributed systems
- Cloud platforms
- Data systems
- CI/CD tooling
- Performance tuning
- Cost optimization
- Data lifecycle strategy
- Data privacy (GDPR)
- AI technologies
Location
- San Francisco
- New York
- Seattle
Work Type
- Full-time
Experience Level
- 8+ years of experience
Salary/Compensations
- $252,000—$315,000 USD
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
About the Company
- 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.
Equal Opportunity
- 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.
- We comply with the United States Department of Labor's Pay Transparency provision.