Technical Advocate

We are seeking a highly skilled technical professional to fill a critical role. As the go-to expert, you will be responsible for delivering exceptional customer experiences by ensuring our clients get maximum value from our Unified Streaming Data Platform.

• Serve as the primary point of contact for technical inquiries and incidents related to our platform and Flink-based pipelines.
• Diagnose, reproduce and resolve issues in a timely manner; own tickets from start to finish and maintain clear records in our support system.
• Participate in a rotating on-call schedule outside standard business hours to deliver technical assistance and uphold SLAs for mission-critical deployments.
• Advise on packaging, deploying and managing containerized services (e.g., using Kubernetes) and configuration lifecycle. Guide customers on best practices for Flink job design and deployment models (e.g., on-prem Kubernetes, Cloud provider, Managed Flink, BYOC).
• Leverage your understanding of cloud-native architectures and services (e.g., AWS, GCP, Azure) to guide customers in aligning Ververica Platform deployments with their existing compute, storage, networking and IAM setups—ensuring secure, resilient Flink operations.
• Empower users to diagnose and resolve issues by analyzing application logs, JVM and Flink metrics (e.g., from tools like Grafana, Kibana, Datadog), collecting performance data, and translating those insights into concrete recommendations for stable, high-throughput pipelines.
• Partner with Product, R&D and Documentation teams to escalate complex issues, propose product enhancements and author knowledge-base articles.
• Create tutorials, sample projects and run technical workshops to accelerate customer success

This role requires a deep understanding of stream-and-batch processing architectures, streaming technologies like Apache Kafka, Pulsar, or Redpanda, and experience with containerization and orchestration. You should have a solid foundation in Java and JVM expertise, as well as proficiency in SQL for querying and analyzing streaming or batch data. Additionally, you should be comfortable explaining and troubleshooting distributed systems patterns.

• Minimum 3 years of experience in a hands-on technical role such as Support Engineer, SRE, or Data Engineer, with at least 2 years in a customer-facing capacity.
• Java & JVM Expertise: Ability to read, reason about, and debug Java code. A solid understanding of the JVM is crucial for performance tuning and troubleshooting.
• Streaming & Big Data: Deep understanding of stream-and-batch processing architectures. Practical experience with streaming technologies like Apache Kafka, Pulsar, or Redpanda is essential.
• Kubernetes & Cloud: Strong conceptual knowledge and hands-on experience with containerization and orchestration. Familiarity with Docker, Kubernetes and Helm is essential, as our platform runs on it. Solid foundations in a major cloud provider (AWS, GCP, or Azure) plus IaC tooling (e.g., Terraform).
• SQL & Data Fundamentals: Proficiency in SQL for querying and analyzing streaming or batch data. Familiarity with data warehousing concepts, serialization formats (e.g., Avro, Protobuf), and data modeling trade-offs.
• Programming & DevOps: Proficiency in a general-purpose programming language (Java preferred), with experience in build/dependency management (e.g., Maven, Gradle) and CI/CD pipelines (e.g., ArgoCD/Flux).
• Distributed Systems: Comfortable explaining and troubleshooting distributed systems patterns (e.g., parallel execution, leader election, fault tolerance, state management, watermarks).
• Excellent Communication: A genuine passion for helping customers, with the ability to clearly explain complex technical concepts to both engineering and non-technical stakeholders.