Software Engineer - Batch Compute

Who we are

About Stripe

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.

About the team

The Batch Compute team at Stripe manages the infrastructure, tooling and systems behind running batch processing systems at Stripe, which are currently powered by Hadoop and Spark. Batch processing systems power several core asynchronous workflows at Stripe and operate at significant scale. 

What you’ll do

We're looking for a Software Engineer with experience designing, building and maintaining high-scale, distributed systems. You will work with a  team that is in charge of the core infrastructure used by the product teams to build and operate batch processing jobs. You will have an opportunity to play a hands-on role in significantly advancing our current infrastructure to be much more efficient and resilient. 

 

Responsibilities

  • Scope and lead technical projects within the Batch Compute domain
  • Build and maintain the infrastructure which powers the core of Stripe.
  • Directly contribute to core systems and write code.
  • Work closely with the open source community to identify opportunities for adopting new open source features as well contribute back to the OSS.
  • Ensure operational excellence and enable a highly available, reliable and secure Batch Compute platform

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

  • 5+ years of professional experience writing high quality production level code or software programs.
  • Have experience with distributed data systems such as Spark, Flink, Trino, Kafka ,etc
  • Experience developing, maintaining and debugging distributed systems built with open source tools.
  • Experience building and scaling infrastructure as a product

Preferred qualifications

  • Experience as a user of batch processing, authoring and optimizing Spark applications
  • Experience building and maintaining data pipelines
  • Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

 

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

Stripe does not yet include pay ranges in job postings in every country. Stripe strongly values pay transparency and is working toward pay transparency globally.

Office locations

Bengaluru

Team

Data Platform

Job type

Full time

We look forward to hearing from you

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.