The opportunity
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence.
What you'll do
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.
+ 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.
What they're looking for
- 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.
- 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.
