Senior Backend Engineer: End-to-End AI & Data Systems

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED

Singapore

On-site

SGD 120,000 - 160,000

Full time

11 days ago

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Job summary

TEKsystems, a leading technology consulting firm, is hiring a Backend Engineer in Singapore to join a high‑performing engineering team. You’ll own backend services end‑to‑end—from architecture through deployment and live debugging—working directly with product and business stakeholders.

The role emphasizes production-grade systems, data pipelines, and AI evaluation frameworks. Strong debugging, communication, and cross‑functional collaboration are required for success.

Qualifications

  • 5+ years designing and building commercial / enterprise-grade backend platforms.
  • Programming proficiency with language-agnostic approaches.
  • Practical experience with both SQL and NoSQL databases.
  • Strong grounding in concurrency, scalability, and fault-tolerant system design.
  • Excellent debugging, critical thinking, and communication skills; able to be the go-to technical contact for stakeholders.

Responsibilities

  • Design and build production-grade backend services powering business initiatives.
  • Build and maintain data pipelines for ingestion, transformation, and aggregation feeding these systems.
  • Build evaluation frameworks to monitor and improve AI output quality before and after release.
  • Own deployment and act as the first point of contact for debugging production issues.
  • Work directly with business and technical stakeholders as the primary technical contact for your initiative.
  • Advocate for performance optimization, automation, and strong test coverage (unit and integration).

Skills

Backend design & architecture
Programming languages
SQL & NoSQL
Concurrency
Debugging & communication

Tools

AWS Lambda
Kafka

Job description

TEKsystems, a leading technology consulting firm, is hiring a Backend Engineer in Singapore to join a high‑performing engineering team. You’ll own backend services end‑to‑end—from architecture through deployment and live debugging—working directly with product and business stakeholders.

The role emphasizes production-grade systems, data pipelines, and AI evaluation frameworks. Strong debugging, communication, and cross‑functional collaboration are required for success.

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