about 6 hours ago
Base Salary
$243k - $295k/yr
Responsibilities
- Own and scale core platform components by designing and implementing key data frameworks.
- Collaborate with infra, data science, and product engineering teams to align platform capabilities with product requirements.
- Optimize performance at scale by diving deep into engine internals and maximizing throughput.
- Drive infrastructure robustness by leading the design and operational lifecycle of features on Kubernetes.
- Embed AI/ML capabilities within data platforms for enhanced data discovery and interaction.
Requirements
- 5+ years of experience in building and maintaining large-scale distributed systems.
- Deep technical experience with foundational technologies such as Kafka, Flink, Spark, or similar.
- Robust proficiency in Java, Go, or Scala with a track record of writing clean backend code.
- Experience operating data infrastructure at scale on Kubernetes in AWS or GCP.
- Demonstrated ability to influence technical direction and mentor engineers.
- B.S. equivalent in Computer Science or sufficient experience.