Senior Cloud-Scale Database Infrastructure Engineer (Remote)

VideoAmp; United States; On-site; USD 190,000 - 220,000; Full time

Benefits offered by this job

Cell phone & wifi reimbursement

Commuter benefits

401(k) with matching

Job summary

VideoAmp is seeking a Principal Database Infrastructure Engineer to join the Database Infrastructure team, architecting scalable, production-grade data systems powering our platform. This role centers on reliability, performance, and developer enablement in a high-impact IC position.

You will design and own foundational database systems serving live customers and internal teams, operating in a rigorous reliability-driven culture as VideoAmp scales its data infrastructure.

Qualifications

• 8+ years of software engineering experience with significant depth in database infrastructure, distributed systems, or data platform engineering.
• Strong systems programming in Rust, or deep C++ or Go experience with a clear path to Rust, including async runtimes such as Tokio and concurrent data structures.
• Proven experience building or significantly modifying a distributed data system such as a query engine, stream processor, distributed database, or large-scale data pipeline, with a solid understanding of shuffles, partitioning, and network and memory bottlenecks.
• Fluency with columnar formats and vectorized execution, including Arrow, Parquet, and the mechanics behind their performance characteristics.
• Strong grounding in distributed systems fundamentals: consistent hashing, leader and heartbeat protocols, backpressure, partial failure, and graceful degradation.
• A performance engineering mindset: you profile before optimizing and defend changes with real benchmark numbers.

Responsibilities

• Design and implement the physical plan distribution pass, including network shuffle, coalesce, and partition isolator insertion.
• Own worker discovery and heartbeating, and lead development of the next generation of load balancing: a work-stealing protocol and a replication-aware hash ring, both currently in design, to keep workers evenly loaded and resilient to node loss.
• Work across cost-based join reordering, cross-stage bloom filter cascade, scan deduplication, and selectivity estimation.
• Own the NVMe LRU cache over S3, Parquet read strategies including full-file and range reads, and Iceberg partition pruning and snapshot handling.
• Close the remaining gap on queries where we still trail Snowflake, specifically multi-shuffle plans and redistribution after scalar-subquery extraction.

Skills

Distributed systems

Database infrastructure

Rust/Cpp/Go

Query optimization

Columnar formats (Arrow/Parquet)

Tools

Apache DataFusion

Apache Iceberg

SQL engines

Kubernetes

AWS S3

Job description

VideoAmp is seeking a Principal Database Infrastructure Engineer to join the Database Infrastructure team, architecting scalable, production-grade data systems powering our platform. This role centers on reliability, performance, and developer enablement in a high-impact IC position.

You will design and own foundational database systems serving live customers and internal teams, operating in a rigorous reliability-driven culture as VideoAmp scales its data infrastructure.