About the company
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams.
Responsibilities
- Build and improve core query engine components: Contribute across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management.
- Implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions.
- Help ensure Nova's components support high-throughput automated query workloads — as AI agents become a primary source of queries, build for sustained, concurrent, and programmatic query patterns at scale.
- Improve cost and performance: Own and execute projects that reduce infrastructure cost — compute, storage, network, and memory — while maintaining or improving latency and throughput.
- Profile and optimize JVM performance: GC tuning, memory management, concurrency, and data layout decisions.
- Build guardrails and observability to catch expensive or pathological queries before they impact the system.
- Contribute to reliability and operational excellence: Strengthen Nova's reliability posture in the components you own: identify failure modes, drive durable fixes, and raise the bar on how we detect and respond to production issues.
- Participate in on-call rotation to root-cause incidents and turn one-off fixes into lasting improvements.
- Contribute to capacity planning, safe rollout practices, and the operational tooling that keeps Nova healthy.
- Grow through technical contribution: Lead the design and execution of multi-week to multi-month projects within your area of ownership.
- Contribute to technical direction through design docs, architecture discussions, and code reviews.
- Pair with and learn from senior and staff engineers on the team; share what you learn with peers.
- Collaborate with Product, Middleware, Data Pipeline, and other engineering teams to ensure Nova's capabilities translate into customer value.
Requirements
- Hands-on experience building or extending distributed data systems — query engines, columnar storage, large-scale data processing frameworks, streaming systems, storage engines, or equivalent.
- 5+ years of industry experience in backend or infrastructure engineering, with exposure to distributed data systems.
- Experience improving cost or performance on cloud infrastructure (compute, storage, network).
- Strong computer science fundamentals and a systems-minded approach.
- Ability to communicate clearly about technical tradeoffs and collaborate effectively with cross-functional teams.