Production Support Engineer

TEKsystems Global Services, LLC; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is seeking a hands-on Production Support professional to ensure the reliability of critical front-office applications in a cloud-based environment. You will work with business users, application owners, and tech teams to resolve incidents, automate repetitive tasks, and improve platform stability.

The ideal candidate has hands-on Linux, Kubernetes, and cloud experience, plus solid incident and problem management skills.

Qualifications

• 5+ years in Production Support, Application Support, or SRE environment.
• Strong incident management, problem management, and troubleshooting capabilities.
• Hands-on experience with Linux/Unix environments and Bash/Shell scripting.
• Experience supporting Kubernetes-based applications, including troubleshooting pods.
• Knowledge of cloud platforms such as AWS and/or Azure.
• Experience with Control-M, Autosys, or similar enterprise scheduling tools.
• Strong SQL and database troubleshooting skills.
• Excellent communication and stakeholder management with business users.
• Ability to work in fast-paced environments and own issues through to resolution.

Responsibilities

• Provide production support for critical business applications, ensuring high availability and operational stability.
• Investigate and resolve production incidents with root cause analysis before escalation.
• Monitor applications, infrastructure, and scheduled jobs, proactively addressing issues.
• Troubleshoot across cloud, Kubernetes, Linux, databases, and application layers.
• Support batch scheduling platforms such as Control-M or Autosys.
• Communicate incident updates clearly to business users and manage expectations.
• Drive automation to reduce repetitive tasks and improve support processes.
• Collaborate with technology teams to improve platform reliability and resiliency.
• Participate in on-call and weekend support rotation as needed.
• Contribute to SRE initiatives around monitoring, observability, and best practices.

Skills

Production Support

Incident Management

Troubleshooting

Linux/Unix

Kubernetes

AWS / Azure

Control-M

Autosys

SQL Troubleshooting

Python Automation

SRE Concepts

Tools

Datadog

Terraform

Job description

• Provide production support for critical business applications, ensuring high availability and operational stability.


• Investigate and resolve production incidents, performing detailed root cause analysis before escalating where necessary.


• Monitor applications, infrastructure, and scheduled jobs, proactively identifying and addressing potential issues.

Job Description

We are seeking a hands-on Production Support to join a growing technology team supporting critical front-office business applications. This role is ideal for someone who enjoys troubleshooting complex issues, investigating root causes, driving resolutions, and improving platform reliability through automation and operational excellence.

This is a business-facing role that combines production support responsibilities with Site Reliability Engineering (SRE) practices in a modern cloud-based environment. The successful candidate will work closely with business users, application owners, and technology teams to ensure the smooth operation of key investment applications.

Key Responsibilities

• Provide production support for critical business applications, ensuring high availability and operational stability.


• Investigate and resolve production incidents, performing detailed root cause analysis before escalating where necessary.


• Monitor applications, infrastructure, and scheduled jobs, proactively identifying and addressing potential issues.


• Troubleshoot issues across cloud, Kubernetes, Linux, databases, and application layers.


• Support and manage batch scheduling platforms such as Control-M or Autosys.


• Communicate effectively with business users during incidents, providing timely updates and managing expectations.


• Drive continuous improvement initiatives by automating repetitive operational tasks and enhancing support processes.


• Partner with technology teams and system owners to improve platform reliability, resiliency, and operational efficiency.


• Participate in an on-call and weekend support rotation as required.


• Contribute to SRE initiatives, including monitoring, observability, automation, and operational best practices.

Requirements

• 5+ years of experience in Production Support, Application Support, or SRE environment.


• Strong incident management, problem management, and troubleshooting capabilities.


• Proven ability to independently investigate issues using logs, monitoring tools, database queries, and system diagnostics.


• Hands-on experience with Linux/Unix environments and Bash/Shell scripting.


• Experience supporting Kubernetes-based applications, including troubleshooting pods and containerized workloads.


• Knowledge of cloud platforms such as AWS and/or Azure.


• Experience with Control-M, Autosys, or similar enterprise scheduling tools.


• Strong SQL and database troubleshooting skills.


• Excellent communication and stakeholder management skills, with experience supporting business users.


• Ability to perform effectively in a fast-paced environment and take ownership of issues through to resolution.

Preferred Skills

• Experience with monitoring and observability tools such as Datadog.


• Infrastructure-as-Code experience using Terraform.


• Automation experience using Python or similar scripting languages.


• Familiarity with AI-assisted operational tooling or agentic AI concepts.


• Exposure to financial services or investment technology environments.

Ideal Candidate

• Currently working in a hands-on Production Support or SRE role.


• Demonstrates curiosity and persistence when troubleshooting complex issues.


• Takes ownership and accountability rather than acting as a ticket dispatcher.


• Comfortable interfacing directly with business stakeholders.


• Proactive, adaptable, and eager to learn new technologies.


• Balances operational support responsibilities with a continuous improvement mindset.

We regret to inform you that only shortlisted candidates will be notified.

EA Reference: CHONG LI NING PHOEBE, R25157679

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544