5 months ago
Base Salary
$165k - $276k/yr
Responsibilities
- Develop query planning, query execution, columnar storage, encoding and compression, caching, distributed compute, and cluster-level resource management capabilities in Nova.
- Extend Nova to support additional warehouse-imported data types, including metrics, profiles, and dimensions.
- Build for sustained, concurrent, and programmatic query workloads generated by AI agents.
- Lead projects that reduce compute, storage, network, and memory costs while improving or maintaining latency and throughput.
- Profile and optimize JVM performance through garbage collection tuning, memory management, concurrency improvements, and data layout decisions.
- Build guardrails and observability to identify expensive or pathological queries before they affect the system.
- Improve reliability by identifying failure modes, implementing durable fixes, participating in on-call incident response, and strengthening production detection and response.
- Contribute to capacity planning, safe rollout practices, and operational tooling.
- Lead the design and execution of multi-week to multi-month projects and contribute through design documents, architecture discussions, and code reviews.
- Collaborate with Product, Middleware, Data Pipeline, and engineering teams to connect Nova capabilities to customer value.
Requirements
- At least 3 years of industry experience in backend or infrastructure engineering with exposure to distributed data systems.
- Hands-on experience building or extending distributed data systems such as query engines, columnar storage, large-scale data processing frameworks, streaming systems, or storage engines.
- Experience improving cost or performance on cloud infrastructure, including compute, storage, or network resources.
- Strong fundamentals in distributed systems, partitioning, replication, consistency, failover, data structures and algorithms, concurrency, multithreading, and performance optimization.
- Production experience with AWS, S3, DynamoDB, EC2, Kafka, Redis or ElastiCache, Kubernetes, and Terraform, or strong equivalents.
- Proficiency in Java, C++, or Python.
- Ability to own and ship significant portions of complex systems and collaborate effectively with engineers and partner teams.
- Preferred experience with Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake, or similar OLAP or query engine systems.
- Preferred JVM expertise, including garbage collection tuning, profiling, and memory optimization.
- Preferred experience with Arrow, Parquet, ORC, or custom columnar data formats and encodings.
- Preferred familiarity with product analytics, experimentation platforms, or event-driven data systems.
- Open-source data infrastructure contributions or published work in data systems is preferred.
Benefits
- Medical, dental, and vision insurance, including 100% employer-paid premiums for employees on select plans.
- 401(k) retirement plan with employer matching of up to 1% of eligible pay, capped at $2,000 annually.
- Flexible time off and paid holidays.
- Monthly wellness and commuter transit/parking stipends, quarterly learning and development stipends, and new-hire home office equipment.
- Twelve weeks of paid parental leave, fertility, adoption, surrogacy, and backup childcare support.
- Mental health and wellness benefits, including no-cost access to Modern Health coaching and therapy sessions.
- Employee Stock Purchase Program, charitable giving grant, and paid volunteer time off.
- Hybrid work arrangement; Washington employees receive unlimited PTO, 10 to 13 annual holidays, medical, dental, and vision PPO/CDHP plans, and a company-sponsored 401(k).
Tech Stack
Amazon DynamoDBApache KafkaAWSC++ClickHouseGoogle BigQueryJavaKubernetesPrestoPythonRedisSnowflakeTerraform
Categories
BackendData Engineering
About Amplitude
Amplitude builds a product analytics and digital experience platform for product, data, and marketing teams, delivered as a SaaS subscription. Its suite spans analytics, experimentation and feature management, session replay, and voice-of-customer tools used to analyze, test, and optimize user journeys. Founded in 2012 and headquartered in San Francisco, Amplitude trades on Nasdaq (AMPL) and serves thousands of customers, including brands like Atlassian, Burger King, NBCUniversal, and Square.