Total 232 Others infrastructure engineer job vacancies in F&B / Tourism / Hospitality category

Deploy, configure, maintain, and optimize projects on major cloud platforms including GCP, AWS, andAzure to ensure stable, secure, and efficient system operations.

Build and maintain CI/CD pipelines using automation tools such as Jenkins, GitLab CI/CD, GitHubActions, and Azure DevOps.

Manage and troubleshoot infrastructure components including Linux servers, databases, containers,networking, security groups, and access permissions.

Handle system monitoring, log analysis, performance optimization, and production issue resolution;support incident response and participate in necessary on-call support rotation.

Assist in implementing access controls, log auditing, data security, and permission management incompliance with Singapore's local cybersecurity, data protection, and regulatory requirements.

Write automation scripts in Python, Shell, or other languages to improve deployment and operationalefficiency.

Support customer technical communication, system delivery, training, and ongoing maintenance;facilitate technical coordination and project progress between China and Singapore teams
Requirements
Bachelor's degree or above in Computer Science, Information Technology, Engineering, or a related field.

Hands-on experience with AWS, GCP, or Microsoft Azure cloud platforms.

Strong knowledge of Linux, Docker, Kubernetes, CI/CD pipelines, and cybersecurity fundamentals.

Proven problem-solving skills and experience supporting production environments.

Proficient in written and spoken English and Chinese for bilingual communication and documentation.

Experience in government, transportation, smart city, enterprise systems, DevOps, SRE, or Cloud Security projects is an advantage.

Relevant cloud, Kubernetes, or DevOps certifications are preferred.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

We are seeking an expert Senior AI Infrastructure & Networking Engineer to lead the architecture, deployment, and optimization of our next-generation AI Factory. In this role, you will be responsible for building and scaling high-density GPU supercomputing clusters (up to 512+ nodes) featuring NVIDIA Blackwell UltraB300 systems. You will bridge the gap between heavy physical infrastructure (liquid cooling/busbar power) and advanced logical fabrics, ensuring predictable, line-rate, and lossless transport for massive generative AI training and reasoning workloads.

Key Responsibilities

• AI Fabric Architecture & Deployment: Design, build, and optimize high-throughput, ultra-low-latency East-West compute networks using NVIDIA Spectrum-X Ethernet platforms (Spectrum-4 ASICs) and/or NVIDIA Quantum-X800 InfiniBand switching.
• Performance Tuning for Lossless Networking: Configure and fine-tune critical Layer 2/3 lossless transport mechanisms, including Remote Direct Memory Access over Converged Ethernet (RoCE v2), Priority Flow Control (PFC), Explicit Congestion Notification (ECN), and DCQCN.
• Rail-Optimized Topologies: Implement and maintain non-blocking, multi-plane, full fat-tree network topologies mapped to 8-GPU server architectures to maximize collective communication performance via NCCL (NVIDIA Collective Communications Library).
• SmartNIC & DPU Management: Deploy and manage high-speed compute network interfaces, including ConnectX-8 SuperNICs (800 Gb/s) and BlueField-3 DPUs for isolated infrastructure management, storage acceleration, and multi-tenant security.
• Full-Stack Orchestration & Automation: Drive infrastructure-as-code deployments using Ansible and Terraform. Initialize and monitor the NVIDIA Network Operator within core Kubernetes orchestration layers.
• Telemetry & Validation: Utilize deep network telemetry tools such as NVIDIA NetQ and "What Just Happened" (WJH) to stream real-time switch diagnostics. Conduct line-rate cluster benchmarking using ib_write_bw and ib_write_lat to eliminate physical layer bottlenecks.
• Cross-Functional Infrastructure Alignment: Collaborate closely with data center facility teams on high-density environment metrics (~15–20 kW+ per rack, liquid-cooled rows, Coolant Distribution Units (CDUs), and Rear Door Heat Exchangers). Ensure operational verification aligns with international standards (e.g., IDCA G-Grade or Uptime Institute).

Required Technical Skills &Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Network Engineering, Systems Engineering, or a related technical discipline.
• AI Networking Expertise: Proven track record of configuring RoCE v2, adaptive routing, and traffic optimization specifically for machine learning/HPC workloads.
• Hardware Familiarity: Deep understanding of high-density scale-up and scale-out systems (NVIDIA HGX/DGX architectures, PCIe switching, OSFP/QSFP112 optical and copper assemblies).
• Software & Cluster Management: Experience with cluster deployment suites like NVIDIA Mission Control, Base Command Manager, Run:ai, or similar enterprise MLOps frameworks.
• Routing Protocols: Strong proficiency with advanced datacenter networking protocols, particularly eBGP IPv6 unnumbered underlays and EVPN/VXLAN overlays for multi-tenant isolation.
• Cabling & Layer 1 Validation: Experience managing complex structured fiber trunking (MPO-12/MPO-24 APC) and executing layer-1 diagnostics (ibdiagnet, iblinkinfo).

Preferred Certifications

• NVIDIA Certified Professional - AI Networking (NCP-AIN) (Highly Preferred)
• NVIDIA Certified Expert - Cloud End-to-End Fabric (NCE-CEF)
• Advanced networking tracks from major vendors (e.g., CCIE, JNCIE, or Nokia Service Routing Architect) combined with proven data center fabric experience.

What We Offer

• Opportunity to work with first-of-its-kind, world-class AI supercomputing technologies (NVIDIA Blackwell Ultra).
• High-impact role shaping the foundational architecture for enterprise generative AI and large-scale LLM initiatives.
• Competitive salary, comprehensive benefits package, and continuous learning paths for advanced AI operations certifications.

About the Role

We are seeking a world-class AI and infrastructure leader to define and build the next generation of AI systems, AI infrastructure, and intelligent computing platforms.

This role extends far beyond traditional AI research. The successful candidate will bridge Foundation Models, Large Language Models (LLMs), AI Infrastructure, HPC, Networking, Distributed Computing, and Silicon Systems, while leading the development of commercially successful AI products and platforms.

The ideal candidate combines the vision of a scientist, the execution capability of a systems architect, the mindset of a product leader, and the leadership of a technology executive.

Key Responsibilities

AI Strategy & Technology Vision

• Define and execute the company's long-term AI and infrastructure strategy.
• Identify emerging opportunities in AGI, Foundation Models, AI Agents, Inference Systems, and AI Infrastructure.
• Establish the technical roadmap for next-generation AI platforms and intelligent systems.
• Drive innovation that creates sustainable competitive advantages.

AI Products & Commercialization

• Transform advanced AI technologies into scalable products and services.
• Drive product strategy from concept through commercial deployment.
• Work closely with enterprise customers and strategic partners to solve real-world business challenges.
• Build differentiated AI capabilities for enterprise and hyperscale customers.

AI Infrastructure & Systems Architecture

Lead architecture, optimization, and deployment across:

• Foundation Model Training Platforms
• AI Inference Platforms
• GPU Clusters
• AI Supernodes
• RDMA Networking
• High-Performance Storage Systems
• Distributed Computing Systems
• AI Cloud Infrastructure
• Silicon-Aware AI Optimization

Research & Innovation

• Drive innovation in LLMs, multimodal AI, reasoning systems, AI agents, and next-generation intelligent systems.
• Evaluate emerging technologies and identify opportunities for strategic differentiation.
• Foster a culture of innovation, technical excellence, and continuous learning.

Team Building & Leadership

• Build and lead a world-class AI and infrastructure organization.
• Recruit, mentor, and retain top scientists, architects, and engineers.
• Establish technical standards, engineering processes, and innovation frameworks.
• Drive collaboration across AI, software, networking, hardware, and silicon teams.
• Communicate effectively with customers, executives and board members.

Required Qualifications

Technical Expertise

• PhD or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, Physics, or related disciplines.
• Deep expertise in machine learning, deep learning, and large-scale AI systems.
• Exceptional software engineering and programming skills, with the ability to design, build, and optimize large-scale production systems.
• Strong system design capability, with a deep understanding of software architecture, scalability, reliability, performance optimization, and maintainability.
• Demonstrated engineering craftsmanship and coding excellence, with a proven track record of developing high-quality, efficient, and maintainable code.
• Expert-level proficiency in PyTorch and/or TensorFlow.
• Proven ability to design, optimize, and deploy large-scale AI systems.
• Must be willing and capable of remaining hands-on in critical technical areas despite operating at a leadership level.
• Strong sense of ownership, accountability, and execution, with the ability to drive complex initiatives from concept to production.

Systems & Infrastructure Experience

Deep expertise in one or more of the following areas:

• Foundation Models
• AI Infrastructure
• Distributed AI Training
• AI Inference Systems
• HPC (High Performance Computing)
• RDMA Networking
• GPU Systems
• Silicon Systems
• AI Compilers
• Large-Scale Distributed Systems

Leadership Experience

• Proven experience building and leading high-performance technical organizations.
• Experience managing multidisciplinary teams across research, engineering, infrastructure, and product functions.
• Strong strategic thinking and decision-making capabilities.
• Demonstrated success in delivering both technical innovation and commercial outcomes.

Highly Desired Qualifications

• Experience working across Foundation Models, AI Infrastructure, HPC, Networking, and Silicon Systems.
• Experience building large-scale AI products, AI platforms, or cloud AI services.
• Experience operating and optimizing GPU clusters at scale.
• Significant contributions to major open-source projects.
• Experience collaborating with semiconductor, networking, and hardware teams.
• Previous experience at organizations such as OpenAI, Anthropic, Google DeepMind, Meta AI, NVIDIA, Microsoft AI, xAI, AWS AI, CoreWeave, Tesla AI, or equivalent institutions.

Compensation & Benefits

We offer a world-class compensation package, including:

• Executive-level base salary
• Annual performance bonus
• Significant long-term incentive plans
• Access to world-class AI infrastructure and research resources

Pre-requisition

 Degree in Computer Science/Engineering or equivalent.

 Proven experience in designing and implementing cloud architectures.

 Experience with design/operation of VMware Cloud Foundation based platform preferred

 Ability to prioritize and manage tight deadlines

 Good presentation skills, communication, negotiation, interpersonal skills and customer-service orientation

 Good team player who can also carry out assignments independently

 Ability to build and manage trusted relationships across different stakeholders

Key Responsibilities

 Lead team in cloud based infrastructure technical discussion and design of cloud based infrastructure

 Perform Proof-of-Concepts (POC’s) and Implement robust infrastructure and cloud solutions

 Identifying workloads suitable for the cloud

 Monitor and optimize cloud systems for performance and cost.

 Ensure data security and compliance with relevant regulations.

 Troubleshoot and resolve infrastructure and cloud-related issues.

 Deliver technical documentation and presentation to customer and internal teams.

 Partnership Management with Key Vendors

 Keep abreast with latest technology updates in the industry

We are seeking a proactive IT Administrator (3–4 years experience) to manage the digital infrastructure and security for our corporate office and 6 clinical sites. You will lead our Google Workspace strategy, enforce "Zero Trust" security, ensure strict PDPA compliance, and drive operational efficiency by implementing AI-powered workflows.

Key Responsibilities

1. Google Workspace, Identity & Security

• Admin & Governance: Manage OUs, Groups, and Role-Based Access Control (RBAC).

• Security Hardening: Implement MFA, Context-Aware Access, and MDM policies to secure clinical data on all company mobile devices and workstations.

• Security Operations: Lead the implementation of CIS Controls and Zero Trust architecture. Monitor security logs and alerts (SIEM) to identify threats.

2. Lifecycle & PDPA Compliance

• Provisioning: Manage end-to-end employee onboarding/offboarding for IT assets and application credentials.

• Data Protection: Act as a key technical liaison for PDPA compliance, ensuring "Reasonable Security" for patient data, managing data retention schedules, and maintaining an accurate Data Inventory Map.

• Auditing: Conduct regular access reviews and support the Data Protection Officer (DPO) in annual compliance audits.

3. AI Workflow Automation (Business Support)

• Internal Efficiency: Identify manual tasks across clinical and corporate sites and automate them using Google tools (e.g., using Google Forms + AppSheet for patient feedback or stock intake).

• Generative AI: Promote the use of Gemini to assist staff with content drafting, data summarization, and reporting.

• Knowledge Management: Implement NotebookLM to create "grounded" internal knowledge bases (e.g., clinical SOPs, HR policies) for instant staff queries, ensuring AI responses are based only on verified internal data.

4. Network & Infrastructure

• Multi-Site Connectivity: Manage ISP vendors and troubleshoot internet/SD-WAN issues across 7 locations.

• Clinic WiFi: Maintain secure, high-performance WiFi (VLAN-separated) to ensure clinical systems and guest networks remain isolated.

Requirements & Qualifications

• Experience: 3–4 years in IT/Systems Administration. Experience in healthcare or retail SMEs is a major plus.

• PDPA Proficiency: Solid understanding of the Singapore Personal Data Protection Act. Holding a Practitioner Certificate in Personal Data Protection (WSQ) or Fundamentals of PDPA is highly preferred.

• Technical Stack: Advanced knowledge of Google Workspace Admin Console, Google Cloud Identity, and MDM solutions.

• AI Literacy: Hands-on experience (or a strong interest) in utilizing Generative AI (Gemini, NotebookLM) and low-code tools (AppSheet/Apps Script) for business process improvement.

• Networking: Experience managing multi-site WiFi environments (e.g., Ubiquiti, Aruba, or Meraki).

Why Join Us?

You won't just be "keeping the lights on." You will be the architect of a secure, AI-enhanced clinical environment, helping us lead the way in modern healthcare operations in Singapore.

Responsibility:

• Govern and manage enterprise Azure and AWS cloud environments, including hybrid infrastructure supporting mission-critical systems.
• Ensure platform stability, scalability, cost efficiency, and security across cloud and on-prem environments.
• Drive infrastructure modernization initiatives, including cloud optimization, automation, and resilience improvements.
• Define and regularly test disaster recovery strategies, backup policies, and RTO/RPO targets.
• Oversee infrastructure and platform support for enterprise applications including ERP, HR, Finance, CRM, Analytics, Integration and AI systems.
• Govern enterprise data platforms and integration layers to ensure pipeline performance, availability, and security.
• Ensure effective vendor delivery and service accountability across infrastructure, cloud and data platforms.
• Lead end-user computing and service desk operations across HQ, showflats, remote branches, and overseas offices.
• Oversee end-user collaboration platforms, endpoint management, patching compliance, and endpoint security.
• Govern ITSM processes, service quality, and continual improvement initiatives.
• Work closely with the IT Security team to align infrastructure operations with enterprise security standards, identity and access management, and security controls.
• Ensure infrastructure and cloud platforms comply with regulatory requirements and internal governance policies.
• Lead the technical and operational response for major IT incidents, coordinating recovery efforts and post-incident reviews.
• Lead, mentor, and develop infrastructure and cloud operations teams.
• Manage strategic vendors, contracts, and IT operating budgets.
• Provide IT advisory and oversight support to subsidiaries and overseas operations.

Job Requirements:

• Degree in Computer Science, Information Systems, or equivalent.
• Minimum 15 years of experience in IT infrastructure and cloud platforms, with a proven track record leading and hands-on managing enterprise-scale environments.
• Strong hands-on technical expertise with deep knowledge across:
• Microsoft Azure (IaaS/PaaS services, networking, identity, monitoring, cost management)
• Amazon Web Services (AWS) (core compute, containerization, networking, storage, and cloud operations)
• Windows Server and Active Directory / Entra ID in hybrid environments
• Microsoft 365 (Exchange Online, Teams, SharePoint, OneDrive, Intune)
• Demonstrated ability to design, implement, manage, troubleshoot, and optimize cloud and on-prem infrastructure, not just provide oversight.
• Solid experience operating hybrid Windows and Linux environments, including patching, performance tuning, and availability management.
• Proven experience leading infrastructure modernization initiatives while remaining personally involved in critical technical decisions and escalations.
• Experience managing IT operating budgets, vendors, and external service providers.
• Strong leadership and stakeholder management skills, with the ability to balance hands-on technical contribution and people leadership.
• Excellent analytical, documentation, and communication skills.

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

We are seeking a proactive IT Administrator to manage the digital infrastructure and security for our corporate office and 6 clinical sites. You will lead our Google Workspace strategy, enforce "Zero Trust" security, ensure strict PDPA compliance, and drive operational efficiency by implementing AI-powered workflows.

Key Responsibilities

1. Google Workspace, Identity & Security

• Admin & Governance: Manage OUs, Groups, and Role-Based Access Control (RBAC).
• Security Hardening: Implement MFA, Context-Aware Access, and MDM policies to secure clinical data on all company mobile devices and workstations.
• Security Operations: Lead the implementation of CIS Controls and Zero Trust architecture. Monitor security logs and alerts (SIEM) to identify threats.

2. Lifecycle & PDPA Compliance

• Provisioning: Manage end-to-end employee onboarding/offboarding for IT assets and application credentials.
• Data Protection: Act as a key technical liaison for PDPA compliance, ensuring "Reasonable Security" for patient data, managing data retention schedules, and maintaining an accurate Data Inventory Map.
• Auditing: Conduct regular access reviews and support the Data Protection Officer (DPO) in annual compliance audits.

3. AI Workflow Automation (Business Support)

• Internal Efficiency: Identify manual tasks across clinical and corporate sites and automate them using Google tools (e.g., using Google Forms + AppSheet for patient feedback or stock intake).
• Generative AI: Promote the use of Gemini to assist staff with content drafting, data summarization, and reporting.
• Knowledge Management: Implement NotebookLM to create "grounded" internal knowledge bases (e.g., clinical SOPs, HR policies) for instant staff queries, ensuring AI responses are based only on verified internal data.

4. Network & Infrastructure

• Multi-Site Connectivity: Manage ISP vendors and troubleshoot internet/SD-WAN issues across 7 locations.
• Clinic WiFi: Maintain secure, high-performance WiFi (VLAN-separated) to ensure clinical systems and guest networks remain isolated.

Job Requirements

• Experience: 3–4 years in IT/Systems Administration. Experience in healthcare or retail SMEs is a major plus.

• PDPA Proficiency: Solid understanding of the Singapore Personal Data Protection Act. Holding a Practitioner Certificate in Personal Data Protection (WSQ) or Fundamentals of PDPA is highly preferred.

• Technical Stack: Advanced knowledge of Google Workspace Admin Console, Google Cloud Identity, and MDM solutions.

• AI Literacy: Hands-on experience (or a strong interest) in utilizing Generative AI (Gemini, NotebookLM) and low-code tools (AppSheet/Apps Script) for business process improvement.

• Networking: Experience managing multi-site WiFi environments (e.g., Ubiquiti, Aruba, or Meraki).
  

Job Highlights

• Annual Leave - 14 days onwards

• Birthday Leave - We believe employee should take a day off to celebrate their birthday with their loved ones

• FREE TCM services and Tech-enhanced therapies for our employees, and 50% discount for employees’ family members!

• Great working culture - Fun and enjoyable workplace that embraces Diversity and Work-life balance/harmony 
  

Why Should You Join Us?

GREAT CULTURE AND ATMOSPHERE:

Because you will be working along with amazing and crazy fun people. We have cyclists, chefs, yogis, gamers, athletes, animal lovers, motivational and inspirational trainers, foodies, and many more. You’ll definitely love your #workfam.

GREAT SALARY PACKAGE AND BENEFITS:

Because we offer benefits which are most desired and valued by people. We believe that the people in the team are the backbone of the company, the core of everything we do. This is why we invest so much in our employee’s welfare and future.

GROWTH AND CAREER DEVELOPMENT:

Because the sky's the limit and we firmly believe that our employees' growth, development, and well-being are the most significant factor. We hope to grow with our employees, we want our people to shine brighter as they progress with the company.

DIVERSITY:

Because we value equity and inclusion. We are an equal opportunity employer who makes decisions without regard to age, identity, gender, race, colour, ethnicity, etc. We encourage our employees to be their true selves at work.

You won't just be "keeping the lights on." You will be the architect of a secure, AI-enhanced clinical environment, helping us lead the way in modern healthcare operations in Singapore.

Job Summary

Looking for a technical windows expert for all Cloud operations services (Windows) in the organization. As such, he/she will provide support and act as the last level of escalation point for all production support activities within the operations team. Will be accountable for the overall health and stability of the technical solutions within their scope and has to work effectively with technical peers such as architects, peer experts and project teams on technology road maps and projects. They will have control over the scope of technical activities, develop best practices, manage knowledge and ensure the necessary trainings are imparted to the team wherever applicable.

The team operates and delivers projects for its infrastructure scope covering Cloud Windows OS, Failover Cluster, Hyper-V, VMware, AWS, GCP, and HPE DL/Synergy/Simplivity/Alletra series hardware.

Job Detailed Description

An Expert has a wide spectrum of responsibilities and actions.

As an expert of his/her team, he/she:

• assigns technical tasks and manages delegation for technical issues,
• animates the team to encourage collaboration and sharing of best practices,
• has a role in supporting technical skills development and provides training when required.
• supports new technologies and leverages them to provide consistency of service across streams,
• manages service improvements for all Windows services supported throughout the organization,
• documents, reviews, maintains and shares relevant technical information to the team
• provides technical direction, supports services both proactively and reactively to maintain the availability and reliability of system infrastructure in accordance to the SLA,
• focuses on automation and optimum use of the team to improve efficiency,
• drives and delivers root cause for any high severity issue,
• reviews technology changes to identify potential risks,
• is responsible for problem management and resolution.

As an experienced professional in Windows, he/she:

• supports his/her team during diagnosis when technical issues rise in his/her scope of expertise,
• is aware of the global IT structure so that he/she anticipates interrelationships within the organization,
• engages with technical peer, Service managers, Architect and project teams on technology roadmap and projects,

• facilitates transformation projects and suggest future directions for new areas of improvement and change,
• guarantees the production readiness and license to operate of new projects and solutions,
• is available and able to drive technically, any complex or high severity incidents that occur within the scope of their role,
• actively engages to understand new technologies and technology trends and reviews them with a view to incorporating them into the operations,

As the escalation point of contact for Clients, he/she:

• manages the daily relationship with Clients including planning, requests clarification, risks mitigation and service quality.

Legal and Regulatory responsibilities, he/she:

• complies with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
• maintains appropriate knowledge to ensure to be fully qualified to undertake the role.
• completes all mandatory training as required to attain and maintain competence.

Job Specific Environment and/or Organization

• Working hours will be in rotating shifts and primarily to cover Europe business hours
• On-call support will be expected on a rotational basis on both weekdays and weekends

Candidate Profile

Mandatory track record

• 7+ years of experience in managing Windows environment with about 3-5 years of experience in financial institutes.
• Subject matter expert on core technologies – Windows OS, Hyper-V and Failover Clustering.
• Knowledge of VMware technologies (vSphere, vCenter, VROPS, VRLI) will be an advantage.
• In-depth hands-on knowledge/experience with HPE hardware (DL, Synergy, Simplivity, Alletra series).
• In-depth hands-on knowledge/experience with Python, PowerShell and Workflow integration tools.
• Knowledge and/or hands on working experience with patching tools and Active Directory.
• Ability to solve complex problems spanning multiple technologies and disciplines.
• Excellent communication, interpersonal and logical skills.
• Customer service oriented and a strong team player.
• Ability to work under pressure and a commitment to solving issues.

If interested, you can click on “Apply here” or write an e-mail to deeksha.agarwal@adecco.com with your updated resume.

NOTE: - Only shortlisted candidates will be contacted back.

Thanks & Regards

Deeksha Agarwal

EA Licence No.91C2918

Personnel Registration No.  R26161520

CHIEF LEGAL OFFICER & HEAD OF COMPLIANCE (GENERALCOUNSEL)

Company: OmniSyn SG Pte. Ltd.
Department: Legal, Regulatory & Corporate Affairs
Location: Singapore (Hybrid / Central)
Role Type: Full-Time, Permanent (Founding Executive Track)
Compensation: Base Salary + Founding-Team Employee Share Option Pool (ESOP) Equity Allocation

Core Objective

As our Chief Legal Officer & Head of Compliance, you will be a permanent founding executive, owning OmniSyn SG’s entire global legal, regulatory, and corporate architecture from day one through international commercial scale.

Your initial immediate mission is to steer our proprietary point-of-care financial transaction clearing switch through the Monetary Authority of Singapore (MAS) Sandbox Plus evaluation tunnel to secure our commercial Payment Service Provider (PSP) License. Post-sandbox, your role scales permanently to manage multi-million-dollar corporate financing rounds, regional regulatory expansions into Southeast Asia, global enterprise commercial contracting, and data architecture governance as we build the premier healthcare financial utility for Asia.

Key Responsibilities & Functional Mandates

Phase 1: The Regulatory Launch & POC Phase (Months1–12)

• MAS Sandbox Leadership: Take absolute ownership of the MAS Sandbox Plus application, handling all written briefs, compliance protocols, and technical queries from our assigned MAS regulatory officer.
• Ecosystem Contracting: Convert initial conditional Memorandums of Understanding (MOUs) with distribution giants in the market into ironclad, definitive commercial contracts.
• Data Protection & Privacy Moat: Serve as our designated Data Protection Officer (DPO). Establish strict PDPA-compliant guardrails to ensure our print wrapper's real-time text-parsing engines never leak clinical patient or diagnostic data.
• Venture Capital Mechanics: Review and coordinate execution of our S$2,850,000 Milestone-Trenched Seed round, managing subscription documentation and the setup of our automated ESOP allocation tables.

Phase 2: Hyper-Scale, Regional Expansion, & Corporate Governance (Post-Sandbox)

• Cross-Border Regulatory Strategy: Architect our legal entry strategies into regional markets, securing necessary fintech, clearing, and digital payment licenses across ASEAN corridors (such as Malaysia, Indonesia, and Thailand).
• Enterprise SaaS Commercialization: Draft, negotiate, and execute massive commercial service level agreements (SLAs) with global healthcare providers, corporate brokerages, and insurance carriers as our volume scales.
• Strategic IP Protection: Protect OmniSyn's foundational intellectual property (the proprietary print wrapper driver, transaction switch rails, and semantic alias vectors) through an international patent and trade secret enforcement framework.
• Institutional Funding & M&A: Drive the legal engineering for downstream Series A, B, and growth rounds. Direct future corporate structuring, joint ventures, debt facilities, or strategic acquisitions.

Candidate Requirements & Technical Profile

• Qualifications: Bachelor of Laws (LL.B.) or Master of Laws (LL.M.) from a reputable university. Admitted to the Singapore Bar or qualified to practice law in Singapore.
• Experience: 6–10 years of post-qualification experience (PQE). A proven track record in a founding legal/compliance role at a scaled fintech, digital payment provider, or within a top-tier technology/healthcare corporate practice group in Singapore.
• Regulatory Mastery: Expert-level command of the Singapore Payment Services Act (PSA), MAS Technology Risk Management (TRM) Guidelines, and PDPA compliance protocols.
• The Executive Mindset: Exceptional commercial acumen. You must possess a business-first mindset, engineering legal paths that actively accelerate our revenue models (such as our 25% PEPM/clearing fee ledger splits) rather than just functioning as a risk filter.

Compensation, Equity, & Career Trajectory

This is a founding C-suite position. You are joining to build a multi-billion-dollar financial rail and will be incentivized accordingly:

• Executive Base Salary: Benchmarked to premium Singapore fintech levels, scaling up dynamically alongside our Tranche 2 (S$2.5M Capital Check) and commercial revenue milestones.
• Founding-Team Share Options (ESOP): A highly significant equity allocation issued via an option scheme with a standard 1-year cliff and 4-year monthly vesting schedule. Your equity position gives you direct multi-million-dollar upside as our dynamic valuation matrix scales past S$25M and toward a future IPO.

Lead Enterprise & Security Architect (FinTechInfrastructure)

• Entity: OmniSyn SG Technologies Pte. Ltd.
• Location: Singapore (Hybrid / Local Sovereign Cloud Command)
• Position: Full-Time Core Team (Founding Layer)
• Equity: VIMA-Compliant Option Pool Allocation Available.

Position Overview

OmniSyn SG is recruiting a founding Lead Enterprise &Security Architect to steer the technical deployment of our real-time national healthcare financial clearinghouse utility.

You will own the absolute design sovereignty of ahigh-performance network that connects corporate HR platforms, major brokerage networks, primary clinical terminals, and Tier-1 insurance carriers across Singapore.

Your core mandate is to ensure our Lean Steel Thread microservices pipeline continuously delivers sub-50ms transactional clearing latency while strictly satisfying MAS FinTech Sandbox Plus, PDPC, and Health Information Act (HIA) 2026 data residency parameters natively at the perimeter edge.

Core Responsibilities

1. System Topology & Infrastructure Design

• Architect and maintain a secure Hybrid Edge Cloud Topology utilizing local Singapore cloud boundaries (AWS ap-southeast-1 or GCP Singapore).
• Isolate public-facing perimeter nodes from air-gapped backend vaults housing our core relational schemas.

2. High-Velocity Message Streaming & Security Proxy Governance

• Configure and tune Kong API Gateway OSS instances in DB-less Mode using static local YAML schemas to eliminate database bloat.
• Mount and manage perimeter protection plugins, including hmac-auth signature checking and custom Token Bucket rate-limiting configurations.
• Design and supervise multi-topic Apache Kafka event message stream buffers to process unstructured payload spikes asynchronously without system timeouts.

3. Rules Engine Adjudication & Micro-Ledger Structuring

• Oversee the data object model matching framework feeding our in-memory Java-based Stateless Drools Engine.
• Ensure declarative rules perfectly parse and compute complex financial-grade variables, including MOH Private Fee Benchmarks, 5% co-payment splits, and rolling annual out-of-pocket ceilings.
• Structure highly optimized PostgreSQL relational micro-ledger tables using hardware-level AES-256 partition encryption filters.

4. Identity Ecosystem & Integration Governance

• Own the technical implementation of GovTech’s Singpass OpenID Connect (OIDC) 3-legged authentication loop.
• Enforce absolute privacy boundaries by mapping users via unique, system-generated 128-bit UUID hashes, completely removing raw NRIC numbers from database records to satisfy regulatory audits.
• Architect hands-free transactional synchronization pipes directly linking system outputs to the platform's Xero automated invoicing API gateway.

Technical Profile & Prerequisites

• Experience: 7+ years directing core software architectures within high-volume FinTech processing environments, clearinghouse utilities, or medical-grade data exchanges.
• Runtime Languages: Advanced engineering fluency across Java (for Drools rules environments), Node.js, or Python microservices.
• Infrastructure Domain: Expert mastery of Kong Gateway setups, Apache Kafka clustering topologies, Docker environments, and PostgreSQL index optimization.
• Identity Tech: Deep operational knowledge of OAuth 2.0, FAPI 2.0, and OpenID Connect protocols (prior deployment inside GovTech Singpass Developer staging environments is highly valued).
• Regulatory Vetting: Proven experience passing institutional technical audits under MAS TRM (Technology Risk Management) guidelines or state healthcare data frameworks.

Position Overview

• As the Head of the Infrastructure & DevOps team, you will lead the foundational operations and engineering architecture for backend business systems. You will not only be expected to personally resolve the most complex production issues, but also build the operations framework from 0 to 1, design the on-call process, and mentor team members to ensure efficiency and security throughout the Software Development Lifecycle (SDLC).

Core Positioning:

• You are the gatekeeper of production stability. Reporting to the IT Director, you will lead the team in closely aligning with business needs to ensure the company’s products maintain high availability and high concurrency processing capabilities, especially for core components such as matching and market data.

Key Responsibilities

Team Management & Operational Framework

• Team Building: Assist the IT Director in building the DevOps team, including hiring, training, and performance management for future L1/L2 operations engineers.
• Process & Governance: Establish standardized release management and incident response processes to ensure smooth team operations in a 24/7 high-pressure environment.

Core Infrastructure Support

• High-Concurrency Optimization: Design low-latency, high-throughput optimization strategies for critical systems such as:
• Matching Engine
• Wallet Services
• Market Data Distribution
• Full Lifecycle Support: Work closely with the product and engineering teams from the architecture design stage, providing scalability and reliability recommendations.

Cloud-Native & Automation Architecture

• Multi-Cloud Infrastructure as Code (IaC): Use tools such as Terraform, Ansible, and Pulumi to manage infrastructure across AWS, GCP, Azure, and Alibaba Cloud, enabling true Infrastructure as Code and reducing vendor lock-in.
• Container Orchestration: Lead the planning and maintenance of Kubernetes (K8s) clusters, leveraging Helm, Kustomize, and Operators to improve microservices scalability and version management.
• CI/CD Pipelines: Design and maintain GitOps workflows based on GitLab CI and ArgoCD, enabling deployment within minutes and rollback within seconds.

Observability & Security

• Monitoring & Observability: Integrate Prometheus, Grafana, ELK, and OpenTelemetry to build full-stack observability covering:
• Infrastructure
• Containers
• Business transaction flows
• DevSecOps: Collaborate with the security team to integrate security scanning tools such as SonarQube and Snyk into CI/CD pipelines. Maintain production WAF, firewall, and IDS/IPS policies, while supporting external security audits.

Incident Response

• On-Call Leadership: Actively participate in and manage a 24/7 on-call rotation. During production incidents, serve as the Incident Commander, coordinating technical response and driving Root Cause Analysis (RCA)afterward to prevent recurring failures.

Qualifications

Experience Requirements

• Years of Experience: 6–8 years in IT infrastructure, with at least 4+ years of hands-on DevOps/SRE experience.
• Industry Background: Experience in an exchange, high-concurrency fintech environment, or major tech company preferred. Familiarity with trading infrastructure such as matching engines is highly desirable.
• Leadership Potential: Experience leading a small team of 2–3 engineers or serving as a technical lead.

Hard Skills

• Linux & Scripting: Strong Linux fundamentals with deep expertise in Shell and Python scripting. Able to independently troubleshoot kernel-level performance issues.
• Strong experience with CI/CD toolchains such as GitLab CI, Jenkins, and ArgoCD.
• Strong knowledge of containers and Kubernetes ecosystem, with experience in Helm, Kustomize, or Operators preferred.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Pulumi.
• Exposure to automated operations in microservices environments, including service governance and service mesh.
• Experience with DevSecOps and security scanning tools such as SonarQube, Anchore, or Snyk, along with familiarity with cloud security best practices.

Soft Skills

• Resilience & Ownership: Strong sense of ownership. Able to stay calm and make fast, effective decisions during market volatility or sudden traffic spikes.
• Communication & Collaboration: Able to bridge engineering teams and the IT Director effectively, with strong cross-functional communication skills.
• Adaptability: Comfortable working in remote collaboration environments, highly self-driven, professional

Asia Medical Enviro Services is a market leader in medical and bio-hazardous waste collection, treatment and disposal in Singapore.

We are located near Tuas Crescent MRT station, a 10-minute bus journey. Some of our staff benefits are medical & insurance coverage, performance bonus, free parking and learning & development opportunities.

Job Responsibilities:

• Monitor plant performance and ensure minimum downtime.
• Plan and schedule manpower weekly or monthly duty roster.
• Lead root cause analysis by identifying recurring issues, troubleshooting and implementing corrective actions.
• Support plant improvement initiatives.
• Liaise with vendors and contractors and negotiate for cost efficient services.
• Ensure Plant operations comply with existing safety regulations through regular inspections, risk assessments and permit-to-work management.
• Ensure plant comply with ISO standard and internal or external audit.
• Support plant maintenance and testing activities.
• Support Inventory management

Job Requirements:

• Bachelor's degree in electrical engineering or instrumentation & control engineering or other relevant fields.
• 2 – 3 years of relevant E&I maintenance experience in chemical plant would be preferred.
• Fresh graduates are welcome to apply.
• On-the-Job training will be provided.
• Problem-solving abilities and the ability to work under pressure during plant shutdowns.

Job Role Includes:

• You will also be required to issue updates and ensure documentation is easily available to all personnel, as well as provide HSE training as and when required.
• Instilling safety awareness to employees is a vital part of the role of the HSE Engineer and so you will be expected to lead by example and to promote best practice at all times with regards to safety at work in all areas.
• As the HSE Engineer you will be required to devise the company’s HSEQ plan and ensure its implementation.
• You are required to attend management meetings to provide ideas and best industry practice with all different level of employees.
• Liaison officer with local government agencies on operating licensing, permits and approval of work etc.
• Report incidents and conduct investigation to determine root cause(s) and lesson learn.
• Other duties as assigned.
• Develop, implement, and maintain the Quality Management System (QMS) in compliance with ISO 9001 standards.
• Establish and monitor quality objectives, KPIs, and continuous improvement initiatives across plant operations.
• Ensure proper document control and quality records management in line with QMS requirements.
• Lead and coordinate internal and external quality audits, including certification processes.
• Drive Corrective and Preventive Actions (CAPA) for quality issues, non-conformances, and customer complaints.
• Work closely with production teams to ensure process consistency, product quality, and defect reduction.
• Promote a quality culture and awareness among employees aligned with overall HSEQ objectives.

Key Responsibilities:

• Oversees the safe, efficient and cost-effective performance of the plant operations.
• Ensures production processes are managed and safely operated in accordance with organizational policies, operating procedures and management systems.
• Analyze risks and ensure that all procedures are adhered to and comply with ISO 45001 requirements and local WSH regulations. Well organized, able to work as a team and may occasionally be required to travel within AICA operating sites.
• Check on compliance to local regulation requirements and legislation.
• Ensure compliance with ISO 9001:2015 Quality Management System requirements alongside ISO 14001 and ISO 45001 standards.
• Monitor, analyze, and report quality performance metrics (e.g. defects, rework, customer complaints, process deviations).
• Coordinate with cross-functional teams to implement process improvements and standardization initiatives.
• Ensure all processes and outputs meet customer specifications and regulatory requirements.

Key Skills, Qualifications and Requirements of a HSEQ Engineer:

• Ideally, you will be educated to diploma/degree level and will be fully experienced in the ISO9001, ISO14001 and ISO45001 / Quality Management Systems (QMS) compliance/ implementation and certification process.
• Experience in handling internal and external audits and certification processes.
• Strong analytical skills with the ability to interpret quality data and trends.
• Good understanding of manufacturing processes and quality control practices is preferred.
• As someone who will be expected to work with a team of people, it is important that you have people management skills and have excellent interpersonal and presentational skills and be able to build relationships with external partners.
• The ability to be able to problem solve, interpret complex issues and motivate others to work to the best of their ability is essential.
• Able to work with Microsoft Office as well as other industry standard computer programs