Senior Staff Engineer, Big Data Infrastructure

Stripe, Inc.
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$271,200.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Microsoft Azure Big Data Cloud Storage Databases Data Infrastructure Data Systems Software Debugging Disaster Recovery
+15 more
Distributed Systems Apache Hive Software Engineering Systems Integration Apache Yarn System Availability Apache Spark Agentic-AI Data Strategy Data Lakes Stripe Kubernetes Information Technology Oracle Cloud Infrastructure Data Pipelines

Job description

In this role, you’d be joining the Big Data Infrastructure team. Our team builds and maintains the platforms that power data work across Stripe, managing three core layers:

  • Data Orchestration (Airflow)
  • Batch Compute (Spark, Celeborn)
  • Data Lake (Iceberg, Hive, S3, Azure Blob Storage)

We support over 2,000 engineers and 600+ internal teams, processing workloads that organically grow more than 30% year over year. Our infrastructure handles massive scale, managing over 800 PB of data, running 325,000 applications a day, and accounting for hundreds of millions of dollars in annual spend, directly powering critical pipelines like inbound payments, network reconciliation, and capital underwriting., As the technical leader for the Big Data Infrastructure organization, you will guide a 40+ person engineering team to scale our foundational data systems. You will partner closely with major internal customers like Data Foundations, Payins Engineering, and AI/ML Foundations to modernize our tech stack and execute Stripe’s transition to the ā€œAgentic Eraā€ - building ā€œinvisible infrastructureā€ where AI agents operate data pipelines end-to-end., * Serve as the technical leader for the Big Data Infrastructure organization, overseeing distributed systems that manage 20% of Stripe’s total AWS spend

  • Execute Stripe’s transition to the ā€œAgentic Eraā€ by building invisible infrastructure that empowers AI agents to author, validate, ship, and operate data pipelines
  • Drive the architecture and delivery of critical modernization bets, including YARN to Kubernetes migrations, native vectorization (Gluten/Velox), and Airflow and Data Catalog modernization
  • Lead the implementation of a multi-region and multi-cloud data strategy for high availability, disaster recovery, and Azure Blob Storage compliance
  • Reduce operational burden and maintenance overhead (KTLO) from over 40% to under 10% by shifting fixes into the platform instead of relying on runbooks
  • Foster a culture of operational excellence and mentor engineers at various stages in their careers, up to Staff+, 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 Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland 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.

Requirements

  • BS or MS in Computer Science or a related field
  • This is a Senior Staff role, so ideally 12+ years of professional experience in a software development role
  • A strong engineering background in distributed infrastructure and/or platform services, including one or more of the following: storage, databases, or compute
  • Experience leading projects on a cross-team and company-wide scale, including scaling and migrating systems with little to no downtime
  • Experience developing, maintaining, and debugging distributed systems while optimizing their reliability and security
  • Experience driving a culture of operational excellence, with a deep understanding of metrics, alerts, and dashboards, * Experience driving AI-led architectural transformations and integrating agentic workflows into large-scale data systems
  • Experience in a development team at AWS, Azure, OCI, or Google
  • Experience with big data infrastructure at scale, such as Spark, Iceberg, S3, Airflow, YARN, and Celeborn
  • Experience with database internals and/or with Kubernetes

Benefits & conditions

The annual US base salary range for this role is $271,200 - $406,800. For sales roles, the range provided is the role’s On Target Earnings (ā€œOTEā€) 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.

We look forward to hearing from you.

At Stripe, we welcome diverse perspectives and people who think rigorously and aren’t afraid to challenge assumptions. Join us.

About the company

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.

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