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Database Engineer; Operations) FS

Job in Singapore, Singapore
Listing for: Morgan McKinley
Contract position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Database Administrator, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 SGD Yearly SGD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Database Engineer (Operations) FS - 12 Months Contract

Morgan McKinley is hiring a Database Engineer (Operations) to join our growing team. In this role, you will be engaged in global operations and engineering strategy for mission-critical database platforms supporting the business and other financial systems.

Job Responsibilities:
  • Support and engineer enterprise database platforms (OLTP, OLAP, Data Warehousing, No

    SQL) to ensure 24x7 availability and resiliency for mission-critical financial systems.
  • Drive operational efficiency across hybrid environments by building custom toolsets and leveraging LLM tools (Windsurf, Copilot) using Python, Perl, and Java.
  • Standardize and implement modern Dev Ops methodologies for automated database deployments, continuous monitoring, and infrastructure maintenance.
  • Optimize database platform performance while maintaining strict adherence to security protocols and evolving regulatory requirements.
  • Partner with global infrastructure, application, and business teams to influence technology roadmaps and conduct strategic architecture reviews.
Qualifications:
  • Bachelor’s degree in Computer Science or a related field.
  • At least 4 years in enterprise database administration & engineering, along with 2+ years in software engineering or LLM/AI applications.
  • Expertise in platforms including Sybase ASE/IQ, MS SQL Server, Snowflake, Cosmos DB, distributed No

    SQL, and replication tools like HVR/Fivetran.
  • Hands-on experience across cloud providers (Azure, AWS, GCP) and operating systems (Linux, Windows), including advanced shell scripting and performance analysis.
  • Proficient in languages and tools (Python, Java, Go, Ansible, Git, Azure Dev Ops, Windsurf, Copilot) with a strong problem-solving and data-driven mindset.
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