Data Platform SRE: Reliability & Cloud Ops Engineer

United States Digital Space LLC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

United States Digital Space LLC is hiring Data Operations Engineers / Data Platform SREs in Singapore to ensure reliability, observability, and cost‑efficiency of a multi‑cloud data platform. You will work on core components across Alibaba Cloud and AWS, handling incidents, monitoring, automation, and platform improvements.

You will collaborate with data engineering, data warehouse, BI, and platform teams to optimize data pipelines and services at scale.

Qualifications

3+ years of experience in data platform operations, big data engineering, platform engineering, SRE, or cloud infrastructure operations.
Experience with either AWS or Alibaba Cloud.
Hands-on experience with at least one big data or cloud data platform, such as MaxCompute / ODPS, Hologres, Databricks, StarRocks, Flink, Spark, Hive, Presto, or Trino.
Strong SQL skills, with the ability to troubleshoot data issues, job failures, and performance problems.
Solid Linux fundamentals and scripting experience with Shell, Python, or similar languages.
Good understanding of monitoring, alerting, capacity, access control, and resource management.
Strong incident response and troubleshooting skills, with the ability to drive recovery under pressure.
Good communication and collaboration skills in a cross-functional environment.

Responsibilities

Operate and support core data platform components, including Alibaba Cloud DataWorks, MaxCompute / ODPS, Hologres, VVP / Flink, and AWS-based platforms such as Databricks and StarRocks.
Build and maintain monitoring, alerting, and SLA / SLO metrics for data platform services.
Respond to production incidents, troubleshoot issues, participate in post-incident reviews, and drive long-term fixes.
Analyze compute, storage, job, and cluster resource usage to improve performance and optimise cloud costs.
Develop or integrate automation scripts and operational tools to improve health checks, releases, scaling, and troubleshooting efficiency.
Collaborate with data engineering, data warehouse, BI, platform teams, and cloud vendors to continuously improve platform reliability and operational efficiency.