Senior Platform Engineer

FPT Asia Pacific; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

FPT Asia Pacific is seeking an experienced Senior Platform Engineer to drive Day 2 operations, cloud platform engineering, governance, security, and continuous optimisation of enterprise Data and AI platforms such as UDP and the Common Agentic Platform.

You will work with the Group Data Team to manage Azure-based data platforms, implement IaC with Terraform, ensure observability, reliability, and security, and lead platform enhancements for scalable deployments.

Qualifications

• 7+ years in platform engineering or enterprise platform operations.
• At least 5 years hands-on Azure experience.
• Experience with Azure Databricks and Unity Catalog.
• Experience with Terraform and IaC.
• Strong knowledge of observability, reliability, and security practices.

Responsabilités

• Provide hands-on engineering support for Azure-based data platforms including Fabric and Databricks.
• Maintain platform performance, availability, reliability, scalability, and resilience.
• Lead Day 2 operations, governance and reliability for AI/agentic platforms.
• Develop monitoring, logging, alerting, and incident recovery processes.
• Design integration patterns and manage API connectivity across enterprise apps.
• Drive platform modernisation and cost optimisation using FinOps practices.

Connaissances

Azure

Platform engineering

DevOps

Observability

Security practices

Vendor management

Technical leadership

Root cause analysis

API management

Data/AI platforms

Outils

Terraform

Azure DevOps

CI/CD pipelines

Unity Catalog

Kafka

Confluent

Event Hubs

Description du poste

We are seeking an experienced Senior Platform Engineer to support the stability, reliability, security, governance, and continuous optimisation of enterprise Data and AI platforms.

The successful candidate will work closely with the Group Data Team to manage and enhance three core platforms:

• Unified Data Platform (UDP)
• Common Agentic Platform
• Clinical Interoperability Platform

This is a hands-on technical role focusing on Day 2 operations, cloud platform engineering, infrastructure governance, DevOps/DevSecOps, operational resilience, security, observability, and vendor management.

The role involves providing technical leadership, resolving complex platform issues, implementing engineering improvements, and ensuring enterprise platforms remain secure, scalable, and operationally efficient.

Responsibilities

Platform Operations & Optimisation

• Provide hands-on engineering support for Azure-based data platforms, including Microsoft Fabric, Azure Databricks, and related cloud services.
• Maintain platform performance, availability, reliability, scalability, and operational resilience.
• Support the operational readiness, governance, and reliability of enterprise AI and agentic platforms.
• Monitor AI platform health, performance, utilisation, and operational effectiveness.
• Support AI agent lifecycle management, orchestration services, and operational governance.
• Enhance AI observability, agent monitoring, and platform reliability capabilities.
• Support clinical interoperability services, including FHIR servers, APIs, and enterprise integration services.
• Facilitate onboarding of new systems, data sources, and integration services.
• Drive platform modernisation, performance optimisation, and continuous improvement initiatives.

Day 2 Operations & Reliability Engineering

• Establish and enhance Day 2 operational practices across cloud, data, AI, and integration platforms.
• Implement monitoring, alerting, logging, and observability standards.
• Develop operational runbooks, support procedures, and incident recovery processes.
• Review platform resilience, business continuity, disaster recovery, and service recoverability requirements.
• Identify reliability bottlenecks, recurring incidents, technical debt, and operational risks.
• Lead root cause analysis and implement remediation measures for recurring production issues.
• Provide advanced technical troubleshooting and escalation support during critical incidents.
• Support capacity planning, cloud cost optimisation, and FinOps initiatives.
• Support Azure networking, cloud security, infrastructure, and platform connectivity.
• Design, implement, and optimise integration patterns across enterprise applications, data sources, and platforms.
• Configure, maintain, and troubleshoot APIs, connectivity services, and integration components.
• Support onboarding of new source systems into data and interoperability platforms.
• Review and implement cloud infrastructure enhancements and platform engineering improvements.
• Develop reusable integration, infrastructure, and deployment patterns.

DevOps, DevSecOps & Automation

• Establish platform engineering standards, best practices, and operational controls.
• Design, implement, and maintain Infrastructure-as-Code (IaC) solutions using Terraform or equivalent tools.
• Develop, maintain, and optimise CI/CD pipelines using Azure DevOps.
• Implement deployment automation, release governance, and engineering quality controls.
• Integrate security practices into CI/CD pipelines, including automated code scanning and dependency vulnerability management.
• Implement infrastructure security validation, secrets management, certificate management, and Policy-as-Code controls.
• Improve operational efficiency through automation and continuous engineering enhancements.

Security, Governance & Compliance

• Maintain and enhance security controls across enterprise cloud, data, and AI platforms.
• Review identity and access management, platform permissions, and security configurations.
• Implement security baselines, governance standards, and cloud security guardrails.
• Ensure platform compliance with enterprise architecture, cybersecurity, data governance, and regulatory requirements.
• Support security audits, risk assessments, vulnerability remediation, and compliance activities.
• Collaborate with security and governance teams to strengthen platform security and operational controls.
• Provide technical oversight and engineering assurance for vendor-delivered platform services.
• Review technical architecture, solution designs, implementation quality, and operational readiness.
• Ensure vendor deliverables align with enterprise architecture standards and platform governance requirements.
• Coordinate technical remediation, platform optimisation, and risk mitigation activities.
• Serve as a technical escalation point for complex platform engineering issues.
• Participate in architecture reviews, engineering governance discussions, and technical decision-making.

Technical Advisory & Stakeholder Collaboration

• Provide technical guidance to Data, Infrastructure, Security, Product, and Application teams.
• Support project teams in adopting standard platform services, engineering practices, and integration patterns.
• Collaborate with internal stakeholders, external vendors, and cloud service providers.
• Contribute to platform roadmap planning, technology evaluations, and operational readiness assessments.
• Recommend engineering improvements to enhance platform scalability, security, reliability, and operational efficiency.

Requirements

• Minimum 7 years of experience in platform engineering, cloud infrastructure, DevOps, or enterprise platform operations.
• At least 5 years of hands-on experience with Microsoft Azure.
• Strong experience supporting enterprise-scale cloud, data, analytics, or AI platforms.
• Hands-on experience with Azure Databricks, including Unity Catalog and platform governance.
• Proficiency in Azure DevOps, CI/CD pipeline development, and Infrastructure-as-Code, preferably Terraform.
• Strong understanding of Azure networking, connectivity, cloud infrastructure, and security services.
• Experience implementing DevOps, DevSecOps, automation, and infrastructure security practices.
• Strong knowledge of platform observability, monitoring, alerting, incident management, and operational reliability.
• Experience with API Management, API security, and enterprise integration architectures.
• Familiarity with data integration and streaming technologies such as Kafka, Confluent, or Azure Event Hubs.
• Experience supporting production data, analytics, or AI workloads.
• Strong troubleshooting, incident resolution, and root cause analysis capabilities.
• Experience working with multiple vendors and cross-functional engineering teams.
• Strong communication, technical leadership, and stakeholder management skills.

Preferred Qualifications

• Experience with Microsoft Fabric and Microsoft Foundry (formerly Azure AI Foundry).
• Knowledge of AI and agentic platform operations, including LLMOps and AI observability.
• Experience with Microsoft Copilot Studio and enterprise AI agent platforms.
• Familiarity with FHIR, clinical interoperability platforms, and healthcare integration standards.
• Experience implementing FinOps, cloud cost optimisation, and capacity management practices.
• Exposure to enterprise architecture governance, security compliance, and disaster recovery planning.