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Job Description

We are seeking a Data & Backend Engineer to design and implement scalable data pipelines and backend services that support high-traffic events. This role focuses on building robust data platforms, ensuring instrumentation, and enabling analytics at scale. The Position:

  • Design and implement data pipelines for ingestion, transformation, and aggregation.
  • Build backend services to serve data efficiently to internal and external systems.
  • Instrument systems for observability, logging, and monitoring.
  • Collaborate with data scientists to ensure models are properly supported with the right data.
  • Optimize system performance to handle large-scale traffic spikes.
  • Contribute to migration efforts toward Kubernetes for scalability and automation.

The Candidate:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum 3 years of Java, Scala or Python development experience, with a focus on backend and data engineering.
  • Experience with distributed data systems (Spark, Kafka, Flink, etc.).
  • Knowledge of Kubernetes and containerized deployments.
  • Familiarity with observability tools (Prometheus, Grafana, ELK stack).
  • Strong problem-solving skills and ability to work under time-sensitive conditions..

Preferred Qualifications

  • Bachelor’s degree in a related field, or equivalent practical experience.

We regret to inform that only shortlisted candidates will be notified. EA Reg No: R25145981 , Low Ciao Ling Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544

About Allegis Group Singapore Private Limited

First seen: October 2, 2026
Last updated: October 2, 2026