System Analyst | Solution Support (Automation & Data Exchange Management)

JOB DESCRIPTION

We are seeking a highly skilled and proactive AI, Integration & Automation Support Engineer to support the deployment, maintenance, and continuous improvement of integration, automation, and Generative AI platforms across the organization.

The ideal candidate possesses hands-on expertise across integration platforms, automation frameworks, Generative AI systems, cloud technologies (especially Microsoft Azure), data engineering processes, and DevOps practices, with a proven track record of delivering exceptional performance to ensure system stability, reliability, and availability.

This role is critical in ensuring the smooth implementation, operation, and optimization of AI-driven and integration-based solutions. You will work closely with delivery, engineering, and operations teams to enable seamless solution rollouts, provide advanced troubleshooting, and maintain high-performing, scalable systems across environments.

RESPONSIBILITIES

1) GenAI Application & Platform Support

• Support configuration, deployment, and operation of Generative AI workloads, including LLM services, RAG pipelines, vector search, and embedding workflows
• Monitor AI system performance, usage, and health to ensure high availability and reliability
• Troubleshoot issues related to model performance, latency, pipeline failures, integration gaps, and environment inconsistencies
• Support dataset preparation for vector indexing, model operations, and downstream automation
• Manage and support Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure ML, Azure Functions, App Services)
• Handle provisioning, monitoring, logging, and cost optimization of cloud resources
• Ensure compliance with enterprise security, identity, and governance standards
• Optimize cloud infrastructure for scalability, performance, and resilience

2) Data Engineering & Ingestion Support

• Maintain and troubleshoot data ingestion and processing pipelines
• Work with tools such as Azure Data Factory, Azure Data Lake, Databricks, or Airflow
• Perform data validation, transformation checks, and ensure high data quality for AI workloads
• Support data readiness for analytics, AI models, and automation processes

3) CI/CD & Code Operations

• Support Git-based workflows for version control, branching, and release management
• Implement and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools
• Manage automated deployments, environment configurations, and infrastructure-as-code practices
• Troubleshoot build, release, and deployment issues across development, staging, and production environments

4) System Integration & Automation

• Develop, maintain, and support integration solutions including APIs, middleware, and ESB platforms
• Design and manage automation workflows using RPA tools (e.g., Blue Prism, UiPath, Automation Anywhere)
• Integrate AI solutions with enterprise systems, backend services, and APIs
• Maintain seamless end-to-end automation and integration processes

5) Business-as-Usual (BAU) Operations

• Continuously monitor system health, performance, and availability of AI, integration, and automation platforms
• Perform routine maintenance including patching, upgrades, and log management
• Troubleshoot and resolve incidents affecting AI, integration, or automation workflows
• Conduct root cause analysis and ensure timely resolution with minimal disruption
• Escalate complex issues when necessary and coordinate with vendors or internal teams
• Provide technical support and resolve user queries related to supported platforms
• Ensure high-quality service delivery and user satisfaction
• Maintain accurate documentation of systems, incidents, and resolutions
• Ensure adherence to organizational security policies and regulatory requirements
• Monitor and mitigate vulnerabilities and unauthorized access risks
• Debug and resolve technical issues across systems and workflows
• Manage post-production support, including bug fixes, enhancements, and stabilization
• Maintain detailed records of issues and improvements for continuous learning
• Ensure reliability and availability across AI, integration, and automation platforms
• Implement upgrades, new features, and improved capabilities in collaboration with stakeholders
• Forecast system demand and optimize infrastructure to support growth
• Stay updated with emerging trends in AI, integration, and automation

6) Collaboration & Delivery Support

• Work closely with delivery, engineering, and operations teams to ensure smooth implementation and go-live readiness
• Support deployment activities, operational handovers, and knowledge transfer sessions
• Collaborate with architects and developers to resolve complex technical and integration challenges

7) Tools & Development Ecosystem

• Use GitHub / RTC for version control and collaboration
• Build and manage CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI/CD, or similar platforms

SKILLS & QUALIFICATIONS

1) Technical Skills:

• Experience with integration, automation, and AI platforms, including Blue Prism, IBM App Connect Enterprise, IBM MQ, IBM DataPower, SFTP, custom APIs, and Generative AI components (LLMs, RAG, embeddings, inference)
• Knowledge of enterprise system architecture, integration patterns, APIs, microservices, and cloud networking
• Experience with Microsoft Azure for cloud provisioning, monitoring and security
• Experience in data engineering processes, including ETL/ELT pipelines using Azure Data Factory
• Experience with DevOps and CI/CD practices using Azure DevOps, GitHub Actions, Jenkins, including version control and automated deployments
• Knowledge of scripting and programming languages such as Python, PowerShell, and Bash
• Experience with monitoring, logging, and observability tools such as Azure Monitor, Log Analytics, and Grafana
• Experience in troubleshooting, root cause analysis, and resolving complex technical issues
• Knowledge of performance tuning, bottleneck identification, and system optimization techniques
• Understanding of scalability and capacity planning for enterprise systems
• Experience in maintaining documentation, reporting, and knowledge sharing for systems and operations

2) Soft Skills:

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills within teams.
• A proactive mindset to contribute to process improvements and innovation.
• Strong analytical and strategic thinking skills for process improvement.
• Excellent communication skills to collaborate with cross-functional teams and present solutions to stakeholders.
• Experience in handling multiple projects simultaneously and meeting deadlines.

JOB REQUIREMENTS

• Malaysian citizen.
• Pass Malay Language including an oral test at the Sijil Pelajaran Malaysia (SPM) level.
• Possess a Bachelor's Degree in Computer Science, Information Technology, or an equivalent qualification in a relevant field recognized by the Government, with a minimum CGPA of 3.00.
• Requires 3 - 5 years of relevant hands-on experience in IT operations, cloud engineering, application support, DevOps, data engineering, or AI systems support
• Minimum 2 - 4 years of experience supporting cloud platforms, servers, and application services in production environments
• Experience supporting AI, integration, and automation platforms, including enterprise applications, middleware, and related services
• Proven track record in handling critical incidents, troubleshooting complex issues, and ensuring system stability across AI, integration, automation, and service layers
• Experience with system monitoring tools, platform architecture, and performance optimization across servers, applications, and cloud environments
• Knowledge of platform integrations, automation workflows, APIs, and service orchestration, with the ability to recommend improvements
• Experience supporting end-to-end systems, including infrastructure (servers), platforms, and application services
• Experience working in enterprise or multi-system environments with high availability and reliability requirements is an advantage
• Understanding of key design principles.

JOB STATUS

Permanent

All applications are treated with strict CONFIDENTIALITY. Only shortlisted candidates will be contacted for interviews. Applications are considered UNSUCCESSFUL if no feedback is received within 2 MONTHS of the closing date.