Customer Success Technical Engineer - APAC

Ververica | Original creators of Apache Flink®; Australia; Remote; AUD 85,000 - 120,000; Full time

Benefits offered by this job

Fully remote, flexible work environment

Direct impact on support processes

Job summary

A leading data platform company in Australia seeks a Customer Success Technical Engineer to ensure clients maximize value from their platform. Responsibilities include providing technical support, diagnosing issues, and guiding customers on best practices. The role requires a strong background in Java, cloud services, and streaming architectures. Competitive salary and flexible, remote work environment offered.

Qualifications

• Experience in a hands-on technical role such as Support Engineer, SRE, or Data Engineer.
• Ability to read and debug Java code.
• Practical experience with streaming technologies.

Responsibilities

• Serve as the main point of contact for technical inquiries.
• Diagnose and resolve issues in a timely manner.
• Guide customers on best practices for Flink job design.

Skills

Java & JVM Expertise

Streaming & Big Data

Kubernetes & Cloud

SQL & Data Fundamentals

Programming & DevOps

Distributed Systems

Excellent Communication

Education

Minimum 3 years in a technical role

Tools

Docker

Kubernetes

Terraform

Job description

Customer Success Technical Engineer - APAC

Customer Success Technical Engineer - APAC

1 day ago Be among the first 25 applicants

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

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!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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