Platform Support Engineer (AWS)

AMBITION GROUP SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading financial services organization in Singapore is looking for a Platform Support Engineer to ensure the stability and performance of critical systems. This role includes developing observability tools and maintaining compliance, with a focus on reliability and continuous improvement. The ideal candidate has a Bachelor's degree and at least 5 years of relevant experience, particularly with Java, Python, and cloud platforms like AWS or GCP.

Qualifications

• At least 5 years of experience as a Platform Engineer, System Analyst, or Software Developer.
• Strong hands-on experience with Java, Python, and cloud platforms.
• Experience with observability tools is a strong advantage.
• Knowledge of KDB/Q for development and support.
• Proficiency in Linux and Windows OS.
• Familiarity with observability tools (Elastic, Logstash, Kibana).
• Excellent communication and problem-solving skills.

Responsibilities

• Ensure system reliability, scalability, and performance through proactive monitoring.
• Develop and enhance observability tools using Elastic, Logstash, and Kibana.
• Handle application recovery, testing, and performance validation.
• Handle application recovery and performance validation.
• Provide off-hours support to ensure system availability.

Skills

Java

Python

ELK Stack

KDB/Q

Cloud platforms (AWS/GCP)

Linux

Windows OS

Scripting (Shell, Python, SQL, PowerShell)

KDB/Q

Linux

Windows OS

Observability tools (Elastic, Logstash, Kibana)

Scripting (Shell, Python, SQL, PowerShell)

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Elastic

Logstash

Kibana

MySQL

Spring Boot

Job description

Our client, a leading organization in the financial services industry, is seeking an experienced Platform Support Engineer to join their growing technology team.

In this role, you’ll be responsible for ensuring the stability, performance, and scalability of critical enterprise systems and shared platforms. You’ll also have the opportunity to work with technologies like Java, Python, Elastic Stack, KDB and cloud-native platforms (AWS/GCP), contributing to continuous system improvement and operational excellence.

Key Responsibilities

Platform Stability & Enhancement

• Ensure system reliability, scalability, and performance through proactive monitoring, troubleshooting, and optimization.
• Collaborate with internal platform teams and vendors to deliver system enhancements and production changes.

Observability & Monitoring

• Develop and enhance observability tools using Elastic, Logstash, and Kibana (ELK Stack).
• Build and maintain dashboards and alerts to detect anomalies and ensure smooth system operations.

Compliance & System Hygiene

• Maintain compliance with company standards, internal controls, and audit requirements.
• Manage regular system patching, vulnerability resolution, and evidence documentation.

Operational & Production Support

• Handle application recovery, testing, and performance validation.
• Provide off-hours or weekend support when necessary to ensure high system availability.
• Troubleshoot and resolve application, performance, and security issues.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• At least 5 years of experience as a Platform Engineer, System Analyst, or Software Developer.
• Strong hands‑on experience with:
• Java, Spring Boot, MySQL, Python
• Cloud platforms such as AWS or GCP – deployment, configuration, monitoring, troubleshooting
• KDB/Q – development, support, or production operations
• Linux and Windows OS – support, maintenance, and optimization
• Experience with observability tools (Elastic, Logstash, Kibana) is a strong advantage.
• Skilled in scripting (Shell, Python, SQL, PowerShell).
• Excellent communication and problem-solving skills, with a collaborative mindset.
• Willingness to provide after-hours or weekend support as needed.
• Strong focus on reliability, automation, and continuous improvement.