Customer Success Technical Engineer – APAC
Location : Kuala Lumpur, Malaysia
As a Customer Success Technical Engineer, you will ensure our clients get maximum value from Ververica's Unified Streaming Data Platform (powered by the VERA engine). You will serve as the primary technical advocate, troubleshooting platform‑level behavior 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.
- Cloud Foundations – Leverage understanding of cloud‑native architectures and services (e.g., AWS, GCP, Azure) to guide customers in aligning Ververica Platform deployments with their existing infrastructure.
- Troubleshooting – Empower users to diagnose and resolve issues by analyzing application logs, JVM and Flink metrics, collecting performance data, and translating insights into actionable recommendations.
- Collaboration & Feedback – Partner with Product, R&D and Documentation teams to elevate 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; solid understanding of the JVM for performance tuning and troubleshooting.Streaming & Big Data – Deep understanding of stream‑and‑batch‑processing architectures; practical experience with Apache Kafka, Pulsar or Redpanda.Kubernetes & Cloud – Strong conceptual knowledge and hands‑on experience with containerization and orchestration; familiarity with Docker, Kubernetes, Helm; solid foundation in at least one major cloud provider (AWS, GCP, Azure) and IaC tooling such as Terraform.SQL & Data Fundamentals – Proficiency in SQL for querying and analyzing streaming or batch data; familiarity with data‑warehousing concepts, serialization formats (Avro, Protobuf); data‑modeling trade‑offs.Programming & DevOps – Proficiency in a general‑purpose programming language (Java preferred), with experience in build / dep‑management (Maven, Gradle) and CI / CD pipelines (ArgoCD, Flux).Distributed Systems – Comfortable explaining and troubleshooting distributed systems patterns such as parallel execution, leader election, fault tolerance, state management, watermarks.Excellent Communication – Genuine passion for helping customers and 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 (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 : shape our support processes and product roadmap.Career growth through deep involvement in enterprise deployments and open‑source development.Collaborative, mission‑driven culture committed to real‑time data innovation.Other Information
Seniority level : Mid‑Senior levelEmployment type : Full‑timeJob function : OtherIndustries : IT Services and IT ConsultingReady to drive customer success on the leading streaming data platform? Apply now!
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