About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.

About the Team: The Stream Engines & Ecosystem (SEE) team at Ververica owns VERA, an enterprise-grade stream processing engine built on Apache Flink, together with the surrounding ecosystem that makes it production-ready for demanding workloads. Our charter covers the engine runtime itself as well as the components customers rely on to integrate VERA into real-world data platforms: connectors, catalogs, change data capture (CDC), and AI model integration. Role Overview: We are looking for a Senior Software Engineer to contribute to the design, implementation, and long-term evolution of the VERA engine and its ecosystem. The primary focus is on engine kernel development, complemented by meaningful work across the broader ecosystem. You will take end-to-end ownership of non-trivial technical problems — from design proposals through implementation, testing, release, and production hardening. Responsibilities: - Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. - Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. - Diagnose and resolve correctness, performance, and stability issues in distributed production environments. - Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. - Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. - Collaborate with adjacent teams across platform, SRE, and product functions.