Job Description

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