軟體類--Senior SRE Engineer-Big Data Platform(中科)

【在華邦，學習不設限，讓AI技術力與你的未來力同步成長!】
我們深信「人才永續」是企業創新的核心動能。華邦持續投資於數據素養與AI應用的培育，支持每一位人才掌握AI與數據應用的核心能力。

．內部學習平台提供超過4,000堂線上課程，其中包含近850堂資料科學、人工智慧、數據思維與程式技術等多元主題，支援彈性自主學習
．建立跨部門的 AI實作班與技術社群，定期舉辦研習與交流活動，讓知識轉化為實戰力
．完善數據應用學習資源，結合資料呈現(Power BI、Tableau)、資料處理(Python、JMP)、流程自動化(Power Automate、UiPath)、AI助手(Copilot)，協助同仁有效以數據驅動決策與創新。
．搭配專業語言學習平台，提供學習補助與資源，鼓勵同仁持續進修，拓展國際視野

無論你是技術新秀還是資深專才，華邦鼓勵所有領域都能與AI結合，與國際接軌。持續精進、突破自我！

【邀請您將104履歷同步上傳至華邦官方網站，將使您的履歷優先被主管看見】
請至華邦官方網站投遞個人履歷表，此職缺履歷登錄網址https://bit.ly/4vvU43H

About the Role
Are you passionate about architecting and ensuring the scalability, reliability, and observability of massive-scale, distributed data platforms? We are seeking a Senior Site Reliability Engineer (SRE) to join our team. In this role, you will play a critical part in designing, optimizing, and maintaining our next-generation, high-throughput on-premise infrastructure. You will leverage modern SRE methodologies and cloud-native technologies to ensure high availability and robust performance for our distributed data fabric, advanced storage systems, modern lakehouse architectures, and private cloud computing platforms within a high-security, high-tech manufacturing environment.

Key Responsibilities

• Enterprise Storage & Data Platform Management: Architect, deploy, and manage enterprise-grade Kubernetes clusters, distributed NoSQL databases (Apache Cassandra), and distributed Object Storage solutions (e.g., Ceph, SeaweedFS) to guarantee 24/7 high availability, performance, and data durability within a private network environment.
• Lakehouse & Query Engine Optimization: Manage and optimize modern open table formats, specifically Apache Iceberg, and distributed query engines like Trino, ensuring low-latency, high-performance data access and metadata management across heterogeneous data sources.
• Database & Cache Management: Oversee the lifecycle, performance tuning, and high-availability configuration of relational databases (PostgreSQL) and distributed caching layers (Redis).
• Modern Observability Framework: Design and implement an advanced observability and distributed tracing architecture utilizing OpenTelemetry (OTel), Grafana, Tempo, and the ELK Stack to enable proactive monitoring, anomaly detection, and rapid root-cause analysis (RCA).
• Automation, Governance & Security: Drive automation initiatives for cluster management and deployment. Ensure all private data platforms strictly adhere to enterprise data governance, internal compliance, and rigorous isolation security standards.
• Cross-Functional Collaboration: Partner closely with data engineering, architecture, and cross-functional infrastructure teams to understand performance bottlenecks and deliver reliable, scalable infrastructure solutions.