全职 IT Storage Engineer (HDFS) 工作, 薪水 up to SGD 5,000, MTS SYSTEMS ENGINEERING PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

This is a Storage Technical Support Engineer role specializing in the management, optimization, and maintenance of enterprise storage infrastructure. Key responsibilities include log analysis, configuration optimization, patch management, capacity planning, vulnerability remediation, and customer training.

Key Responsibilities

1. Operational Optimization

• Proactively review storage configurations, generate reports, manage storage capacity, and identify opportunities for improvement based on industry best practices.
• Optimize storage performance, availability, and resource utilization.

2. Maintenance and Support

• Test and implement patches, perform system upgrades, and remediate vulnerabilities across storage hardware and software.
• Troubleshoot and resolve storage-related incidents to ensure system stability and service continuity.

3. Customer Enablement

• Provide technical training to customer staff and improve their understanding of storage solutions and best practices.
• Support customers in adopting and managing enterprise storage technologies.

4. Governance and Reporting

• Conduct monthly service reviews and manage Statement of Work (SOW) changes.
• Perform Root Cause Analysis (RCA) and recommend preventive actions to reduce recurring incidents.
• Maintain technical documentation and operational reports.

Requirements

1. Education and Technical Foundation

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proficiency in storage technologies, including RAID, SAN, and NAS.

2. Object Storage Expertise (5+ Years)

• Over 5 years of experience specializing in S3-compatible object storage solutions.
• Strong understanding of cloud object storage services, including bucket configuration, lifecycle management, and fine-grained access control using IAM and storage policies.
• Experience managing object storage environments and implementing security and access management best practices.

3. Storage Configuration and Migration

• Hands-on experience configuring and managing enterprise storage systems, including block storage and object storage platforms.
• Proven experience migrating data to cloud-based object storage using Object Storage Migration Services or equivalent migration tools.
• Experience with block storage migration and data migration utilities.

4. Daily Monitoring and Incident Management

• Proficient in using storage management and monitoring tools for performance monitoring, capacity management, and alarm generation.
• Skilled in proactive incident response, troubleshooting, and problem resolution for object and block storage environments.

5. Operating Systems and Technical Skills

• Strong foundational knowledge of Linux/Unix system administration, including Ubuntu, CentOS, Red Hat, Solaris, and AIX.
• Scripting experience with Bash, Python, or similar languages.
• Basic Windows networking knowledge.
• Experience installing and maintaining storage-related components, including S3-compatible storage services, backup agents, and monitoring tools.

6. Customer and Task Management

• Excellent oral and written English communication skills.
• Strong ability to manage multiple tasks while meeting customer requirements and maintaining service-level agreements (SLAs).
• Good problem-solving, analytical, and customer service skills.

Preferred Qualifications and Additional Advantages

• Experience in the banking or financial services industry.
• Relevant certifications, such as HCIP – Storage or equivalent storage-related certifications.
• Hadoop certification, such as Cloudera Certified Administrator for Apache Hadoop (CCAH), or equivalent qualifications.
• Knowledge of cloud-based big data platforms, including AWS EMR, Azure HDInsight, and Google Cloud Dataproc.
• Experience with containerization technologies such as Docker and Kubernetes for big data workloads.
• Exposure to data lake architectures and data governance tools.
• Experience with Cloudera, Hortonworks, or Apache Hadoop distributions.
• Familiarity with related big data components, including YARN, Hive, HBase, Spark, Oozie, and ZooKeeper.
• Experience with monitoring and management tools such as Ambari, Cloudera Manager, or Nagios.