Roblox предлагает четко очерченную технически сложную роль с зарплатой выше рыночного ориентира и ответственностью за крупную платформу аналитики в реальном времени. Важно учитывать, что работа привязана к офису в Сан-Матео, а визовую поддержку компания не предлагает.
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Ограничения по визеЗарплата выше рынкаСовременный стекПонятная рольМасштаб и влияние
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Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Realtime Analytics Platform (OLAP): Building and scaling core OLAP infrastructure for sub-second analytical queries, high-throughput streaming ingestion, and low-latency MPP processing across Roblox's large-scale data platform with an accent on StarRocks, Apache Druid, query engine performance, and cluster scalability. Focus on designing streaming pipelines, optimizing query planning and vectorized execution, managing Kubernetes and Terraform infrastructure, and integrating AI/ML capabilities for automated data discovery.
Location: San Mateo, California, United States; office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
Salary: $243,290–$295,250 USD base pay.
Company
Roblox builds tools and infrastructure for developers and creators producing immersive 3D digital experiences for a global community.
What you will do
Own the architecture, operational health, and scalability of StarRocks and Apache Druid OLAP platforms.
Optimize query engine internals, cost-based optimization, query planning, vectorized execution, memory usage, and serialization for sub-second latency under heavy concurrent load.
Design and optimize real-time streaming ingestion pipelines using Apache Kafka, Apache Flink, and native engine load mechanisms.
Guide OLAP data modeling across infrastructure, data science, and product engineering teams, including partitioning, bucketing, sort keys, and materialized views.
Lead cluster provisioning, lifecycle management, operations, and capacity planning with Kubernetes and Terraform across cloud environments.
Integrate AI/ML and LLM-driven capabilities to enable automated self-service mechanisms and intelligent data discovery.
Requirements
6+ years of experience building, designing, testing, and maintaining production-grade large-scale distributed systems.
Hands-on engineering or operational experience with StarRocks or adjacent OLAP engines such as Apache Druid, ClickHouse, Apache Doris, Apache Pinot, or Trino/Presto.
Experience implementing high-volume streaming ingestion with Apache Kafka, Apache Flink, Routine Load, Broker Load, or Debezium/CDC pipelines.
Expertise in OLAP schema design, including partitioning, bucketing, sort keys, indexing, and tuning cost-based SQL query engines at massive scale.
Strong proficiency in Java, Go, C++, or Scala, with experience writing clean, high-performance distributed backend code.
Experience operating, troubleshooting, and provisioning data infrastructure at scale with Kubernetes and Terraform on AWS or GCP.
Ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives.
Bachelor's degree equivalent in Computer Science or sufficient experience.
Nice to have
Core contributions to open-source OLAP databases such as StarRocks, Apache Druid, ClickHouse, or Apache Doris.
Experience operating real-time analytical platforms at consumer-internet scale with 100M+ active users.
Culture & Benefits
Full-time employees are eligible for equity compensation and benefits.
Roblox provides equal employment opportunities and reasonable accommodations during the recruiting process.
The role involves solving technical challenges at scale and building safer, more civil shared experiences.
For US-based roles, the company may be unable to employ candidates whose United States work authorization relates to certain visa categories and may not support future H-1B sponsorship.
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