Production Support

Overview

We are seeking a Production/Application Support professional to become a valuable member of our high-performing AI Platform team. This team is tasked with supporting essential applications, services, and runtime platforms that facilitate AI integration throughout the organization.

This position is perfect for individuals who thrive on troubleshooting production issues, investigating defects, and tackling real-world operational challenges within a contemporary cloud-native setting.

Your contributions will be crucial in ensuring platform stability, assisting AI-driven services, and collaborating closely with Site Reliability Engineers to resolve issues promptly and effectively. The ideal candidate will adopt a solve-first mindset, independently debug issues when feasible, and provide insightful investigation results prior to escalation based on client requirements for the AI Platform initiative.

Key Responsibilities

• Deliver L2/L3 production and application support for AI Platform services and applications.
• Investigate and resolve production incidents affecting business users and platform consumers.
• Conduct root cause analysis and document findings, recommendations, and preventive measures.
• Analyze logs, traces, and monitoring data utilizing tools such as Datadog, Splunk, ELK, or CloudWatch.
• Debug application issues and defects, including examining and investigating Python code when necessary.
• Support Kubernetes-based applications through log analysis, pod investigation, and runtime diagnostics.
• Create simple automation scripts and tools using Python or Bash to enhance operational efficiency.
• Assist with production deployments, release validation, and change management tasks.
• Escalate issues to SRE and engineering teams, providing clear findings, evidence, and diagnostic information.

Essential Skills

• 2-5 years of experience in Production Support, Application Support, L2/L3 Support, or Technical Operations roles.
• Proven troubleshooting and defect investigation abilities.
• Experience conducting structured Root Cause Analysis (RCA).
• Proficiency in Python and/or Bash scripting.
• Experience analyzing application logs and traces using enterprise monitoring tools.
• Capability to debug code and identify issues from stack traces, logs, and user-reported problems.
• Experience supporting production applications in business-critical environments.
• Excellent communication and stakeholder management skills.
• Ability to work autonomously and take ownership of issues until resolution.

Preferred Skills

• AWS cloud experience.
• Familiarity with Kubernetes troubleshooting.
• Experience in creating Datadog dashboards and configuring monitoring.
• Experience with AI, LLM, or GenAI-enabled products.
• Knowledge of SQL and NoSQL databases.
• Experience in enterprise access provisioning and entitlement management.
• Familiarity with formal release and change management processes.

We regret to inform that only candidates selected for further consideration will be notified.

EA Registration No: ANDREW JONAS MATTHEW, R21103843

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