Backend Developer

Allegis Group Singapore Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is 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.

You will design ingestion pipelines, build services, instrument systems for observability, collaborate with data scientists, and migrate toward Kubernetes for scalability and automation.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 3+ years of Java, Scala or Python backend/data engineering experience.
• Experience with distributed data systems (Spark, Kafka, Flink).
• Knowledge of Kubernetes and containerized deployments.

Responsibilities

• 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.

Skills

Java

Scala

Python

Education

Bachelor's degree in Computer Science / Information Technology

Tools

Spark

Kafka

Flink

Kubernetes

Prometheus

Grafana

ELK stack

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