About The Role & Team
The Data Pipeline team owns the core event ingestion and processing infrastructure that powers Amplitude's analytics product — handling more than 1 trillion events per month. We build and operate the systems responsible for real-time event ingestion,batch data ingestion, user identity resolution, privacy and GDPR compliance (user deletion, app deletion, event TTL, and self-serve data deletion), and the reliability of the pipeline end-to-end.
As a Senior Software Engineer, you'll take on complex infrastructure challenges: designing for extreme throughput, optimizing for millisecond latencies, and building resilient systems that run at close to zero downtime. You'll also work closely with Product and customers to shape the strategy and roadmap for our core product and new features. Our stack is primarily Java and Python, running on Kafka, Temporal, DynamoDB, Amazon S3, Kubernetes, and Terraform.
This is a senior role, so beyond your own delivery you'll be a technical anchor for the team: leading design discussions, mentoring engineers, and raising the bar for how we build.
Key Responsibilities
- Take product ideas from ideation to implementation
- Develop highly reliable and maintainable backend services that expand the capabilities of our analytics product
- Optimize the performance and scale of our data ingestion and processing infrastructure to handle ever-increasing volume
- Collaborate with Product and Design to iterate on our product
- Lead engineering discussions and apply and advocate for engineering best practices
- Drive design and code reviews
- Mentor and contribute to the success of engineers across the team
Qualifications
- B.S., M.S., or Ph.D. in Computer Science or another related technical field
- 5+ years of experience working in a Software Engineering role, with 2+ years working in Java
- Strong foundation in programming, algorithms, and software application design
- Passionate about data processing, solving challenging problems, and iterating quickly
- Previous experience in distributed systems, data processing, and analytics
- Experience leading or mentoring engineers is a plus
- Previous experience with real-time stream processing (e.g., Kafka) is a plus
Benefits
- Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
- Flexible time off, paid holidays, and more
- Generous stipends to spend on what matters most to you: wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual)
- Excellent Parental benefits including 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
- Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only)
- We invest in our people: mentorship programs, management training, and wellness initiatives
- We give back to our communities: each Ampliteer gets a charitable giving grant and paid volunteer time off
Compensation
Salary ranges are based on location:
Colorado: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
New York City: $183,000 - $276,000 total target cash (inclusive of bonus or commission)
San Francisco Bay Area (California): $183,000 - $276,000 total target cash (inclusive of bonus or commission)
California outside Bay Area: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
Washington state: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
EEO Statement
Amplitude provides equal employment opportunities (EEO). All applicants are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.