Software Engineer, Data Orchestration

Stripe is a financial infrastructure platform for businesses. Millions of

companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue,

and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of

work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the

most important work of your career.

The Big Data Infrastructure operates the critical

infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment,

Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing

products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows,

100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our

users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc.

Data

Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch

data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore,

Trino, Pinot, Python, Java, Scala, S3, and Iceberg.

As a Software Engineer on this team, you'll

design and build infrastructure that powers batch data processing at Stripe.

Responsibilities​

• Design, build,

and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability,

reliability, security, and efficiency.

• Design ergonomic APIs and abstractions that build a great customer experience for

internal Stripes, that will in turn enhance the experience of millions of Stripe users.

• Ensure operational excellence and

enable a highly available and reliable Data Orchestration platform across batch workloads.

• Collaborate with

high-visibility teams and their stakeholders to support their key initiatives—while building a robust platform that benefits all

of Stripe in the long term.

• Plan for the growth of Stripe infrastructure by unblocking, supporting, and communicating

with internal partners to achieve results.

• Connect your work with improvements in the usability and reliability of open

source software (OSS) like Apache Airflow, Iceberg, and Spark, and contribute back to the OSS community.

Who you

are​

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these

requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum

requirements​

• 8+ years of professional experience writing high-quality, production-level code or software programs

and an interest in data infrastructure.

• Has experience operating or enabling large-scale, high-availability data

pipelines from design to execution and safe change management. Expertise in Spark, Flink, Airflow, Python, Java, SQL, and API

design is a plus.

• Has experience developing, maintaining, and debugging distributed systems built with open source

tools.

• Has experience building infrastructure-as-a-product with a strong focus on user needs.
• Has strong

collaboration and communication skills, and can interact with both technical and non-technical participants.

• Has the

curiosity to learn about new technologies and business processes.

• Is energized by delivering effective, user-first

solutions through creative problem-solving and collaboration.

Preferred qualifications​

• Has experience

writing production-level code in Scala, Spark, Flink, Airflow, Python, Java, and SQL.

• Has experience designing APIs or

building developer platforms.

• Has experience optimizing the end-to-end performance of distributed systems.
• Has

experience scaling distributed systems in a fast-moving environment.

• Has experience working with Airflow

infrastructure.

• Genuine enjoyment of innovation and an interest in understanding how things work.

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a

balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility

about how to do this in a way that makes sense for individuals and their teams.