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# Software Engineer (Query Infrastructure

- **Company:** Amplitude, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $165,000.0 - $247,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, BigQuery, C++ (Programming Language), Cloud Computing, Software Code Optimization, Data Structures, Data Systems, Software Debugging, Distributed Data Store, Distributed Systems, Failover, Java Virtual Machine (JVM), Python (Programming Language), Online Analytical Processing, Performance Tuning, SQL Databases, Database Engines, Usage Analysis, Parquet, Large Language Models, Snowflake, Concurrency, Apache Spark, Backend, Agentic-AI, Druid, Presto, Vertica
- **Published:** October 30, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-query-infrastructure-amplitude-com-8332542

## About the Role

* 4+ years of industry experience in backend or infrastructure engineering, with depth in distributed data systems.
 * Hands-on experience building or extending analytical or OLAP systems: query engines, columnar storage, large-scale data processing or streaming frameworks, or equivalent.
 * Track record of leading multi-month, cross-team technical projects from design through production, including significant cost or performance wins on cloud infrastructure.
 * Strong computer science fundamentals: distributed systems (partitioning, replication, consistency, failover), data structures and algorithms, concurrency, performance optimization.
 * Demonstrated technical influence beyond your immediate team: leading design discussions, driving cross-team alignment, mentoring engineers.
 * Proficiency in Java, C++ or Python., * Experience with query or OLAP systems such as Druid, ClickHouse, Presto/Trino, Spark, BigQuery or Snowflake.
 * Experience with SQL planning and optimization, or with building SQL layers over heterogeneous storage.
 * Familiarity with open table and columnar formats (Iceberg, Parquet, Arrow, ORC) and warehouse-native architectures.
 * Familiarity with product analytics, experimentation platforms, event-driven data systems, or serving data to LLM and agent workloads.

## Description

* Own core components across query execution, columnar storage, and distributed compute.
 * Design elastic query infrastructure for AI agents as first-class clients, targeting 10× query throughput with predictable performance and lower cost per query.

 * Solve deep performance problems across engine internals and cloud infrastructure, from JVM and memory optimization to distributed execution.
 * Own production reliability through on-call, incident investigation, and architectural improvements that prepare Nova for its next stage of growth.

Shape what comes next

 * Set technical direction for major initiatives and lead them from proposal through production, with clear milestones and measurable results.
 * Decide what to build, what to adopt, and how to evolve Nova for its next order of magnitude in scale.
 * Work across engineering and product to set priorities and resolve trade-offs between capabilities, complexity, and cost.
 * Help senior engineers take on larger technical problems through design reviews, debugging, and shared ownership.

Who you are

You are a systems-minded engineer who:

 1. Gets energy from working inside complex distributed systems, finding bottlenecks, and making meaningful improvements.
 2. Has built or significantly extended a query engine, storage engine, or distributed data processing system.
 3. Makes sound trade-offs across performance, cost, correctness, and reliability, and builds support for technical decisions across teams.

Helps engineers take on harder problems through design reviews and debugging, while staying open to new ideas and learning from others.