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6 days ago
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mongodb redis postgres kubernetes elasticsearch📋 Description
- Lead architecture and implementation of core data platforms and systems.
- Collaborate with cross-functional teams to define new features.
- Improve programming practices, tooling, and processes.
- Present technical information to teams and stakeholders.
- Provide technical leadership and mentoring for engineers.
- Uphold engineering standards across the org.
🎯 Requirements
- 8+ years of backend engineering in large-scale data storage and warehousing.
- MongoDB and Postgres; Kinesis, Flink, Spark for streaming.
- ElasticSearch and Redis for indexing/caching.
- Trino, Presto, Snowflake for data querying.
- Mentoring and leading teams in projects.
- Excellent communication; translate complex concepts to non-technical stakeholders.
🎁 Benefits
- Base salary range: $248,000–$310,000 USD
- Equity-based compensation included
- Health, dental, vision; retirement; learning stipend; PTO
- Commuter stipend (may be eligible)
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