Software Engineer, Data Processing Infra
Stripe
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
- 4+ 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)
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
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.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
The annual US base salary range for this role is $150,500 - $269,200. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Office locations
Seattle, or South San Francisco HQ
Remote locations
Remote in Canada
Team
Data Platform
Job type
Full time