Staff Software Engineer, Stripe

• 10+ years of professional experience writing high quality production level code or software programs, with a focus on large scale backend infrastructure
• Has very strong operational experience with large-scale, high-availability data pipelines from design, to execution, and safe change management
• Has experience building infrastructure-as-a-product with a strong focus on users needs
• Has strong collaboration and communication skills, and can comfortably interact with both technical and non-technical participants
• Has the curiosity to continuously learn about new technologies and business processes
• Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration

Desirable

• The Data Transformation team is responsible for building and operating batch and real time transformation pipelines and platforms for 400+ product teams at Stripe
• We're aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high quality datasets used for critical analytics, dashboards and workflows at Stripe
• The Products owned by this team are widely adopted with 450+ weekly active users improving developer productivity for data users by many folds
• The team is in an interesting phase of innovation tied to topmost priority for Stripe building and executing the strategic roadmap for streaming transformation, incremental processing and ergonomic data modeling
• We empower our users ranging from Data Scientists to Engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics and workflows at Stripe including:
• User-facing reporting products Sigma, Radar,
• Merchant facing dashboards,
• Payments (pay-in and payout),
• Ledger,
• Financial Data Reconciliation,
• Regulatory Reporting,
• Machine Learning,
• TechOps, Customer Success and GTM
• Data Scientist & Analyst
• Link, Issuing, Banking and the list goes on…
• We adopt a combination of open source technologies and in-house built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies used include: Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka and FlinkSQL
• It’s a high stake and high visibility role, especially as a Staff Engineer, you will be one of the most senior members in the org
• You will be driving critical workstreams for Stripe’s topmost priorities around delivering high quality, materialized datasets Stripe products and AI agents
• Not only will you provide strong technical directions for the team, we also look up to you as the culture North Star for the organization. We really value strong engineers who have a team-first mentality, a strong bias for action, and a solution-focused mindset
• Design, build, and maintain innovative next-generation or first-generation versions of solutions and products, with an emphasis on reliability, scalability and usability
• Define and design opinionated architectural strategies, policies, and abstractions that build a long term sustainable solution for internal Stripes, that will in turn enhance the experience of millions of Stripe users
• Ensure operational excellence and enable a highly available & reliable Data Transformation platform across streaming and batch workloads, delivering a world-class data creation and management ecosystem
• Collaborate nimbly with cross functional partners (PM), high-visibility teams and their stakeholders to support their key initiatives - navigating various types of organizational complexity with the support of your own leadership team
• Partner with Engineering Management, Product Manager and key leaders across the company to create and drive toward the longer term vision of Stripe’s Data Transformation roadmap
• Lead and manage a team of talented engineers on the team, providing technical mentorship, guidance, and support to ensure their success

• The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark