Role Description You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. Responsibilities - Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services. - Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end. - Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale. - Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations. - Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning). - Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability. - Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS. Qualifications - This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems. - Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments. - Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot. - Experience developing, maintaining and debugging distributed systems built with open source tools. - Experience building and scaling infrastructure as a product. - Strong software engineering skills and a passion for Big Data Distributed Systems. - Ability to write high quality code (in programming languages like Go, Java, Scala, etc). - Comfortable operating with high autonomy and ownership. - Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed. - Strong written and verbal communication skills, including the ability to produce clear technical documentation. Preferred Qualifications - Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale. - Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production. - Experience building or operating control planes for managing large-scale infrastructure. - Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc).

• Develop and extend SAP S/4HANA (on-stack / in-app extensibility ~95%) • Design and build CDS Views • Work with RAP (RESTful ABAP Programming Model) • Implement business logic in the Sales (SD) area • Collaborate closely with the Tech Lead and project team • (Optional) Support Fiori / OData topics

• Build the SAP consulting team in Lithuania. • Design and implement enterprise-grade SAP S/4HANA data integration and transformation solutions mainly for the manufacturing and Automotive industry. • Lead complex SAP data migration programs, ensuring the accurate, secure, and seamless movement of business-critical data from legacy systems to SAP S/4HANA. • Responsible for end-to-end data migration strategy, ETL architecture and delivery governance. • Advise clients on data integration strategy, data governance operating models, and best practices for high-quality data conversion during S/4HANA migrations. • Conduct collaborative workshops, develop best-practice ETL frameworks, and create technical design concepts. • Design and implement scalable SAP BODS and SLT architectures, drive data readiness, quality, lineage, and controls frameworks. • Manage planning, delivery milestones, and budget compliance in your stream while ensuring high-quality execution. • Report to the team Lead for SAP Lithuania, collaborating with the SAP consulting organization.

• Develop, maintain, and optimize WordPress websites for performance and functionality. • Design and implement custom HTML landing pages. • Update and integrate AMP (Accelerated Mobile Pages) to WordPress sites for seamless compatibility. • Troubleshoot technical issues and provide timely solutions. • Collaborate with the team to develop innovative web solutions.