The client is a Singapore-based data consultancy seeking a hands-on Senior Infrastructure Engineer to deploy and operate the ingestion and distributed-storage layer of a large-scale on-premise data platform.

This is an initial six-month contract, with the potential for extension or conversion to a permanent position based on business requirements and individual performance.

Key Responsibilities

· Design, deploy and operate scalable batch and streaming ingestion services in an on-premise or hybrid environment.

· Build and support high-throughput data ingestion using Apache Kafka and dltHub or comparable ingestion frameworks.

· Containerise platform components using Docker and deploy and operate production workloads on Kubernetes.

· Deploy and administer Ceph-based distributed storage, covering capacity, performance, availability and recovery.

· Build and maintain lakehouse storage using Apache Iceberg tables and Apache Polaris catalogues.

· Integrate ingestion and storage services with downstream Spark, Trino, ClickHouse and transformation workloads.

· Monitor platform health, throughput, storage and logs using VictoriaMetrics and VictoriaLogs or comparable tools.

· Troubleshoot ingestion, storage, networking, Kubernetes and production-performance issues.

· Produce technical documentation, operating procedures and recovery runbooks.

· Work directly with technical stakeholders and contribute as a senior individual contributor.

Requirements

· Minimum six years of hands-on experience in data-platform infrastructure, distributed storage, data ingestion or a closely related role.

· Production experience with both Docker and Kubernetes is mandatory.

· Strong experience deploying and operating data platforms in on-premise or hybrid environments.

· Hands-on production experience with Apache Kafka and distributed ingestion architecture.

· Practical experience deploying or administering Ceph or comparable software-defined distributed storage.

· Experience with Apache Iceberg and data catalogues such as Apache Polaris.

· Experience using dltHub or a comparable Python-based data-ingestion framework.

· Strong understanding of Linux, networking, storage, high availability, performance tuning, backup and recovery.

· Experience supporting high-volume platforms at terabyte or petabyte scale.

· Ability to operate independently and communicate effectively with client and technical stakeholders.

· Willingness to accept a six-to-twelve-month contract and attend client locations when required.

Preferred Experience

· Data-platform delivery within regulated sectors such as banking, fintech, healthcare or data centres.

· Experience with Kubernetes Operators, Helm, CI/CD and infrastructure automation.

· Experience integrating ingestion and storage services with Spark, Trino, ClickHouse or dbt.

This position focuses on data ingestion, distributed storage and platform infrastructure. It is not primarily a business-intelligence, dashboarding, visualisation or data-analyst role.

How to Apply

Submit your application by emailing your updated resume in MS Word format to:

Wills Heng Wei He
EA Personnel Registration No. R1549842
Email: [email protected]

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