DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.

About the Team

The Realtime Platform powers business starting from Realtime data collection, to data processing which enables Data Scientists and ML Engineers for analytics, to out-of-box realtime feature and signal generation providing customers a personalized experience. The platform provides a complete solution including infrastructure and framework using open-source technologies such as Apache Kafka, Apache Flink, Apache Spark. The solution also offers Realtime insights as a product integrated with in-house services and OLAP such as Apache Pinot. The team consists of a mix of experienced veterans of stream processing from prestigious companies and some inspiring and passionate budding streaming engineers.

About the Role

If you want to solve the toughest engineering challenges in the world and learn from some of the smartest people in the industry, DoorDash’s Realtime Platform is the right place for you. Come join us and be part of the mission.

You will report into the engineering manager on our Realtime Streaming Platform team in our Data Platform organization. Once our offices reopen, we expect this role to be hybrid with some time in-office and some time remote.

You're excited about this opportunity because you will...

• Work on the new initiative building a platform to power DoorDash customer's personalized experience along with Data Engineering, Ads, Marketing, and Growth teams
• Work with our Data Analysts, Data Scientists, ML Engineers, and Data Infrastructure engineers to collaborate on meaningful projects that need Realtime data
• Help build Realtime streaming platform that can evolve to handle new technologies, techniques, and modeling approaches
• Expand the infrastructure and tech stack supporting rapid international expansion

We're excited about you because you have…

• Experience working on big data domains (streaming, batch, data lake and/or OLAP) and promoting Realtime data analytics at scale using technologies such as Apache Kafka, Flink, Spark, Druid, Cassandra, Elasticsearch, etc.
• B.S., M.S., or PhD. in Computer Science or equivalent
• Knowledge of CS fundamental concepts and OOP languages
• 2+ years of industry experience
• Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment, and can operate on Kubernetes environments in production at scale.
• Familiar with a cloud-based environment such as AWS

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming,