FPT Software
Senior Platform Engineer
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 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.
Nice to have
- 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.
Full description
Role Overview
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.
Key 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.