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全职 Senior Platform Engineer 工作, 薪水, Businesslist WP Kuala Lumpur 公司招聘中 - Ricebowl

Senior Platform Engineer

Businesslist

Undisclosed

KL City, WP Kuala Lumpur

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工作地点

  • Kuala Lumpur, Kuala Lumpur Kuala Lumpur WP Kuala Lumpur Malaysia

职位描述

岗位职责

Monroe Consulting Group, an Executive Recruitment firm, is partnering with a leading organisation in the Information Technology sector to hire a Senior Platform Engineer . This opportunity is based in Kuala Lumpur, Malaysia .

Position Overview

This role will design, build, and evolve core platform infrastructure that powers enterprise-grade digital products and intelligent software solutions. They will drive scalability, reliability, and engineering excellence by developing foundational systems that enable high-impact customer and business outcomes.

Key Responsibilities
1. Core Platform Architecture & Development
  • Design, build, and evolve critical platform components such as API services, workflow engines, orchestration systems, data processing infrastructure, and intelligent platform services.
  • Own major platform subsystems, including architecture, implementation, testing, and long-term maintainability.
  • Ensure platform components are robust, extensible, and production-ready.
2. Platform Enablement
  • Identify operational and technical challenges impacting delivery teams and customer deployments.
  • Build abstractions, APIs, and tooling that improve implementation efficiency and deployment reliability.
  • Translate real-world deployment leanings into scalable platform capabilities.
3. Technical Excellence & Engineering Standards
  • Establish and uphold standards for code quality, testing, observability, performance, and reliability.
  • Review solution designs and code while providing mentor-ship and technical guidance.
  • Drive engineering best practices for building and operating complex production systems.
4. Infrastructure & Platform Evolution
  • Evaluate and integrate emerging technologies, frameworks, databases, and platform tooling.
  • Make strategic decisions on platform capabilities, technical investments, and architectural direction.
  • Contribute to long-term platform and infrastructure strategy.
5. Scalability, Reliability & Cost Optimisation
  • Design systems capable of supporting large-scale data processing and operational workloads.
  • Address challenges related to performance, fault tolerance, observability, security, and cost optimisation.
  • Ensure platforms meet enterprise expectations for up time, resilience, and operational stability.
Key Requirements
Qualifications & Experience
  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related discipline.
  • 4-8 years of professional experience building backend, infrastructure, platform, or distributed systems.
  • Proven experience designing and operating production-grade distributed systems.
  • Experience working within cloud-native and enterprise technology environments.
  • Ability to operate independently and make sound technical decisions in complex environments.
Technical / Functional Expertise
  • Strong understanding of software engineering fundamentals, including system design, testing, scalability, and maintainability.
  • Proven experience building cloud-native solutions on AWS, Azure, or Google Cloud Platform (GCP).
  • Hands-on experience with Infrastructure as Code (IaC) and containerisation technologies such as Terraform and Docker.
  • Strong proficiency in at least one back end or systems programming language, including Go, Python, Java, or TypeScript.
  • Experience building platforms, frameworks, or shared services used across multiple teams.
  • Strong understanding of APIs, workflow orchestration, and distributed architecture principles.
  • Experience with data ingestion, transformation, and large-scale data processing.
  • Familiarity with modern AI infrastructure, Large Language Models (LLMs), retrieval-augmented generation (RAG), vector databases, or intelligent automation platforms.
  • Experience with enterprise data platforms and modern cloud ecosystems is advantageous.
Soft Skills & Leadership Competencies
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder engagement skills.
  • Ability to mentor and guide technical teams.
  • Strong ownership mindset with a focus on quality and continuous improvement.
  • Ability to balance strategic thinking with hands‑on execution.
  • Collaborative approach to working across engineering and business functions.
  • Adaptability and sound judgement in fast‑paced and evolving environments.
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