Position Overview As a Customer Success Technical Engineer, you'll ensure our clients get maximum value from Ververica's Unified Streaming Data Platform (powered by the VERA engine). You'll be the primary technical advocate—troubleshooting both platform-level behaviour and customers' stream-processing jobs, guiding best practices from onboarding through mission-critical operations. Key Responsibilities Customer Support: Serve as the main point of contact for technical inquiries and incidents related to our platform and Flink-based pipelines. Issue Resolution: Diagnose, reproduce and resolve issues in a timely manner; own tickets from start to finish and maintain clear records in our support system. On-Call Support: Participate in a rotating on-call schedule outside standard business hours to deliver technical assistance and uphold SLAs for mission-critical deployments. Platform Guidance: 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). Cloud Foundations: 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. Troubleshooting: 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. Collaboration & Feedback: Partner with Product, R&D and Documentation teams to escalate complex issues, propose product enhancements and author knowledge-base articles. Customer Education: Create tutorials, sample projects and run technical workshops to accelerate customer success Requirements 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 Preferred Qualifications Industry certifications in cloud or DevOps disciplines Experience with scripting or automation (e.g., Python, Shell) Background in open-source contributions or community support Prior work in a remote/customer-focused environment Benefits Fully remote, flexible work environment Direct impact: you'll shape our support processes and product roadmap Career growth through deep involvement in both enterprise deployments and open-source development Collaborative, mission-driven culture committed to real-time data innovation Ready to drive customer success on the leading streaming data platform? Apply now!
At Ververica, we are the original creators and core contributors to Apache Flink, the leading open-source stream and batch processing engine. Flink powers mission-critical applications at companies like **Netflix, Alibaba, Amazon, and Uber**, as well as banks, telcos, and global enterprises. We are passionate about open source and equally committed to delivering enterprise-grade data processing solutions that help organizations unlock real-time insights at scale. Backed by one of the world's largest tech companies, Ververica offers the best of both worlds: innovation with stability. As a Technical Account Manager (TAM) at Ververica, you'll play a central role in our customers' success. You'll act as a trusted advisor and hands-on technical partner, helping organizations adopt and scale their real-time data processing architectures using Ververica Unified Streaming Data Platform, which is built on top of Apache Flink. You'll work closely with engineers, data teams, and platform owners across industries to solve complex challenges — from system design and deployment to performance tuning and long-term operations. What You'll Do Own the technical relationship with a portfolio of enterprise customers — from onboarding through expansion. Guide customers in architecting and optimizing their stream processing infrastructure with Ververica Unified Streaming Data Platform. Advise on best practices for Flink job design, deployment models (on-prem Kubernetes, Cloud provider, Managed Flink, BYOC), and monitoring strategies. Provide in-depth technical troubleshooting and performance tuning across data pipelines, connectors, and clusters. Collaborate cross-functionally with our Engineering, Product, Sales, and Product Marketing teams to advocate for customer needs. Assist with incident triage, root cause analysis, and building out operational playbooks for scalable Flink deployments. Support migrations from legacy or batch-based systems to real-time processing. Conduct regular check-in calls and Quarterly Business Reviews (QBRs) with strategic customers to align on goals, feedback, and roadmap priorities. Participate in on-call support rotations. Represent Ververica in customer meetings, roadmap sessions, and (if you're interested) at conferences and meetups. Continuously sharpen your Flink expertise and stay ahead of trends in distributed systems, observability, and cloud infrastructure. Requirements Must-Have Skills Familiarity with cloud platforms such as AWS, GCP, or Azure and container orchestration with Kubernetes — our product runs on Kubernetes, so hands-on Kubernetes experience is essential. Ability to read and reason about Java code, with working knowledge of Java 11+ features and a basic understanding of the JVM. Working knowledge of SQL, including querying and reading streaming data. Excellent problem-solving skills, with a proven ability to diagnose and resolve complex technical issues Familiarity with streaming technologies such as Apache Flink, Apache Kafka, or Redpanda. Excellent communication skills — you're comfortable speaking with both technical engineers and non-technical stakeholders Nice-to-Have Skills Working knowledge of Python, especially useful when supporting customers using PyFlink. Experience with observability and monitoring tools like Grafana, Datadog, DynaTrace, or similar platforms. Familiarity with DevOps workflows or CI/CD tooling in cloud-native environments. Experience running Apache Flink in production or contributing to open-source data infrastructure projects Key Attributes for Success 3+ years in a customer-facing technical role such as TAM, Solutions Engineer, or Support Engineer. Strong ability to build and maintain relationships with enterprise customers, acting as a trusted technical advisor. A genuine sense of empathy and ownership in helping customers resolve technical issues and achieve success. Ability to understand customer use cases, map them to Ververica capabilities, and guide customers in designing effective solutions. Strong sense of accountability, autonomy, and a desire to make a measurable impact in customer outcomes Ability to manage multiple client accounts and projects simultaneously, prioritizing tasks and meeting deadlines Benefits What We Offer Competitive compensation: salary, equity, performance bonus Remote-first work culture with flexible hours Access to Flink core developers and a global open-source ecosystem Generous vacation, personal leave, and wellness benefits Offices in select cities for in-person collaboration when desired At Ververica, we believe innovation starts with diverse perspectives. We welcome applicants from all backgrounds and life experiences — if you're passionate about helping customers succeed with cutting-edge technology, we'd love to hear from you.