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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Engineer, Big Data Infrastructure - **Company:** Stripe, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $271,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Storage, Databases, Data Infrastructure, Data Systems, Software Debugging, Disaster Recovery, 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 - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_1a83eee9163e8bf6fbf408bba292c804 ## About the Role * 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 ## 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 "Agentic Era" - building "invisible infrastructure" 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 "Agentic Era" 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.