Note: The job is a remote job and is open to candidates in USA. Oscilar is building an AI Risk Decisioning™ Platform that helps banks, fintechs, and digitally native organizations manage fraud, credit, and compliance risk. The Staff Engineer will own the analytics data layer, design a tiered analytics architecture, solve database performance and scaling challenges, and provide hands-on technical leadership for the platform's multi-quarter evolution.
Responsibilities
- Find and fix database performance and scaling problems
- Own the schema and data model for our analytical data
- Design and build our analytics architecture: a tiered platform spanning our system of record, a low-latency serving tier, and a batch/ML tier
- Decide where each workload runs across those tiers, backing placement decisions with real benchmarks rather than vendor claims
- Build observability into the data layer so problems surface early
- Partner with the ingestion team to keep the read and write paths coherent as schemas evolve
Skills
- • Deep, production experience operating a database or analytical store under concurrent, customer-facing load: you can reason from a query plan to a fix, not just from documentation
- • Strong SQL and a real mental model of columnar / OLAP execution
- • Solid backend engineering. Our stack is Java, but we care more that you can read and modify a real codebase than which tools you've used
- • Data architecture experience: you've designed or materially shaped a multi-tier data platform and can defend those decisions with measurements
- • Lakehouse experience: Databricks, Spark, Delta Lake / Iceberg, or comparable
- • Experience designing schemas for wide, semi-structured event data (nested objects, maps, JSON)
- • Streaming ingestion experience (Kafka or similar)
- • Track record of a migration or major re-architecture, with the cost/latency reasoning to back the decisions
- • ClickHouse experience
- • Connection-pool and JDBC-level tuning experience
- • Familiarity with feature-flagged rollouts of query-engine behavior changes
- • Open-source contributions to a query engine or related tooling
Benefits
- Candidates will receive stock options
- 100% of your Medical/Dental (Care Plus) for you and your dependents
- 100% Life / LTD (Prudential)
- A Caju Card for monthly meal allowance
- Remote first culture
- Family-Friendly environment
- Regular team events and offsites
- Unparalleled learning and professional development opportunities
- Making the internet safer by protecting online transactions
Company Overview
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