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AVP - System Development Manager

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AVP - System Development Manager in Others

  • Hong Kong Exchanges and Clearing Limited
  • Full time
  • Email
  • Shenzhen, China

Responsibilities

  • Own the design, build, operation, and improvement of major data-platform components across streaming, batch, storage, serving, and orchestration.
  • Operate Kafka clusters, schema registries, Kafka Connect connectors, and streaming infrastructure, including tuning, monitoring, rebalancing, and disaster recovery.
  • Build and optimize Spark batch jobs and Flink or Spark Structured Streaming pipelines, including reusable frameworks and tuning guides.
  • Manage Iceberg tables and operate MinIO at scale, including maintenance, lifecycle rules, tiering, and performance tuning.
  • Deploy and operate Trino, StarRocks, and ClickHouse clusters, including connector configuration, resource management, sharding, replication, materialized views, and query monitoring.
  • Build and maintain Airflow or Dagster DAGs, custom operators, and sensors for platform operations.
  • Implement platform-wide monitoring, dashboards, and alerting with OpenTelemetry, Prometheus, Grafana, and Loki.
  • Manage Kubernetes operations, Helm charts, operator lifecycles, resource quotas, node affinity, and pod disruption budgets.
  • Own ArgoCD application sets, Helm-based deployments, and development-to-production promotion pipelines using GitOps practices.
  • Participate in on-call rotations and create post-mortems and runbooks.
  • Mentor mid-level engineers through pairing, design discussions, and code reviews.

Requirements

  • 6+ years of experience in data engineering, platform engineering, or backend infrastructure.
  • Strong Kubernetes experience including Helm chart authoring, RBAC, network policies, persistent volumes and claims, and operators.
  • Solid Kafka experience with topic design, consumer groups, offset management, lag monitoring, Kafka Connect, and schema registries such as Apicurio or Confluent.
  • Solid Spark experience with the DataFrame or Dataset API, Spark SQL, performance tuning, and production troubleshooting.
  • Working knowledge of Flink or Spark Structured Streaming for real-time pipelines.
  • Practical Iceberg experience including table maintenance, time travel, and catalog integration.
  • Hands-on Trino or Presto experience with connector configuration, query tuning, and resource-group management.
  • Experience with an OLAP engine such as StarRocks, ClickHouse, or Doris, including table design, ingestion pipelines, and query optimization.
  • Proficiency in Python and either Scala or Java.
  • Solid CI/CD and GitOps experience with ArgoCD or Flux, Helm, and Docker.
  • Experience with Airflow or Dagster for pipeline orchestration.
  • OpenShift experience with SCC, Routes, ImageStreams, and BuildConfigs is preferred.
  • dbt project experience for data transformation and modeling is preferred.
  • Experience with Great Expectations, Soda, or Deequ is preferred.
  • Kafka Streams or ksqlDB experience is preferred.
  • Exposure to DataHub or Atlas for data discovery and lineage is preferred.

Benefits

  • Permanent position based in Shenzhen, China, with a standard 40-hour workweek.
  • Participation in an on-call rotation is required.

Hong Kong Exchanges and Clearing Limited

Hong Kong Exchanges and Clearing Limited is a leading financial marketplace that facilitates the trading, clearing, and settlement of a wide range of securities and derivatives. By providing a robust, transparent, and efficient infrastructure, it supports global investors and issuers in accessing...

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