Amplitude is the leading AI analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—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 by G2, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com.

As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.

The Data Warehouse team is responsible for developing features to allow users integrate disparate data sources with Amplitude seamlessly to turn data into powerful product intelligence. We created a data platform which allows customers to easily bring data from numerous data sources into amplitude, and enhance the value of the data by powering more workflows outside of Amplitude as well. Also we are building next generation analytics experience where users can instantly get product insights out of their data in warehouses without any data ingested. Today, the team still works like a small startup with a fast-paced, collaborative and adaptive working environment. And we have lots of great product initiatives to be fulfilled.

In this role, you will solve hardcore Infrastructure challenges like designing for extreme throughput, designing/optimizing systems with millisecond latencies, building resilient systems to achieve close to zero downtime. You will also get to closely work with Product and Customers to define the strategy and roadmap for our core product and new features. You will also work with designers to deliver the best customer experience for our products.

Our product sits on top of many modern technologies, including Kubernetes, Kafka, Redis/Elasticache, Amazon S3, DynamoDB, Terraform etc. You will share your ideas with a group of similarly innovative and curious engineers.

As a Staff Software Engineer, you will:

Take product ideas from ideation to implementation
Develop backend services that integrates with various data warehouses and cloud services
Optimize the performance and scale our data import/export infrastructure to server ever-increasing volume.
Collaborate with Product and Design to iterate on our product
Participate in design and code reviews
Lead engineering discussions and mentor others on engineering best practices
Mentor and contribute to the success of junior engineers

You'll be a great addition to the team if you have:

B.S., M.S., or Ph.D. in Computer Science or another technical field
4+ years of experience working in a Software Engineering role
Strong foundation in programming, algorithms, and software application design
Passionate about solving challenging problems and iterating quickly
Previous experience with Java or Java is a plus
Previous experience in distributed systems, data processing and analytics is a plus
Previous experience with ETL/ETL pipelines is a plus
Technical leadership of an engineering team is a plus

Who We Are

The Company: Amplitude is filled with humble, life-long learners who are eager to help one another and the company succeed. Our values of growth mindset, ownership, and humility are core to the way we work: we’re tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view.

The Product: Amplit

Staff Software Engineer, Data Warehouse

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Who We Are

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