Amplitude is looking to solve hardcore Infrastructure challenges like designing for extreme throughput, designing/optimizing systems with millisecond latencies, building resilient systems to achieve close to zero downtime. They also want to allow users to integrate disparate data sources with Amplitude seamlessly to turn data into powerful product intelligence.
Requirements
- 2–3+ years of industry experience as a backend or data-focused software engineer.
- Strong foundation in programming, algorithms, and system design.
- Hands-on experience with at least one modern backend language (Java, Go, or Python preferred).
- Interest or experience in distributed systems, large-scale data processing, and analytics.
- Familiarity with or eagerness to learn Temporal, dbt, Apache Iceberg, or related technologies.
- Experience working with ETL pipelines or data products on top of cloud warehouses (Snowflake, BigQuery, Redshift, etc.).
- Prior exposure to event-driven systems or workflow orchestration.
Responsibilities
- Build and maintain backend services that integrate with various data warehouses and cloud services.
- Design and implement distributed systems that ensure scalability, reliability, and performance.
- Collaborate with Product and Design to translate ideas and requirements into working features.
- Optimize the performance of our data infrastructure to support ever-growing data volumes.
- Participate in design discussions, code reviews, and team-wide knowledge sharing.
- Contribute to the success of the team by supporting peers and mentoring junior engineers when possible.
Other
- A passion for solving challenging technical problems and iterating quickly.
- The company values humility, ownership, and a growth mindset.
- Ability to work in a fast-paced, collaborative, and adaptive working environment.
- Willingness to share ideas with a group of similarly innovative and curious engineers.
- The role involves working closely with Product and Customers to define strategy and roadmap.
