Total 3,786 infrastructure engineer job vacancies in Australia

Our client is a Computer and Network Security Industry. Due to business needs, they are now recruiting a Business Development Executive to be part of their Team for ongoing transformation projects. They are located in the West - easily accessible.

About the Role:

Are you passionate about technology and eager to drive business growth in a fast-evolving field? We are looking for a proactive and ambitious Business Development professional to play a key role in expanding our cyber-security portfolio across Singapore and the APAC region.

Responsibilities:

• Spot, evaluate, and pursue new business opportunities in priority industries and markets across the region.
• Develop and implement go-to-market strategies to accelerate the adoption of our cyber-security solutions.
• Build strong, consultative relationships with customers and partners, collaborating with internal technical teams when needed.

Requirements:

• Min Degree Cybersecurity, Computer Science, or a related field.
• Minimum 1 year of experience in business development or sales 

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R25157233 (Loh Pooi Keng)

Brief Summary:

Join a dynamic team as an Assistant Vice President, overseeing crucial IT infrastructure and cloud platforms. This role offers an opportunity to drive modernization and service excellence in a fast-paced environment.

Responsibilities:

• Govern and manage enterprise Azure and AWS cloud environments, ensuring stability, scalability, and security.

• Lead initiatives for infrastructure modernization, automation, and resilience improvements.

• Define and conduct regular testing of disaster recovery strategies and backup policies.

• Oversee the infrastructure and platform support for enterprise applications, including ERP and CRM systems.

• Ensure effective vendor delivery and accountability across infrastructure and data platforms.

• Manage end-user computing and service desk operations, supporting multiple locations.

• Govern IT Service Management processes, focusing on quality and continuous improvement.

• Align infrastructure operations with enterprise security standards, ensuring compliance with regulatory requirements.

• Lead technical responses to major IT incidents, coordinating recovery efforts.

• Mentor and develop teams in infrastructure and cloud operations, managing vendor relationships and IT budgets.

Requirements:

• Degree in Computer Science, Information Systems, or a relevant field.

• Minimum 15 years of experience in IT infrastructure and cloud platforms, with hands-on management of enterprise-scale environments.

• Extensive technical expertise in Microsoft Azure and AWS, encompassing IaaS/PaaS services and networking.

• Proficient in Windows Server, Active Directory, and Microsoft 365 suite.

• Demonstrated ability to design, implement, and optimize both cloud and on-premises infrastructure.

• Experience in operating hybrid environments, including Windows and Linux systems.

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd)

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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.

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

Lead the design and delivery of secure, scalable, and cloud-native platforms while mentoring engineers and driving engineering excellence.

What You'll Do

• Design, build, and operate cloud-native infrastructure and platform services.

• Develop backend systems, automation tools, and platform capabilities using Golang.

• Drive architecture decisions, technical standards, and engineering best practices.

• Lead CI/CD, automation, observability, and reliability initiatives.

• Mentor engineers through code reviews, technical guidance, and capability development.

• Collaborate closely with product and engineering stakeholders to deliver scalable solutions.

• Champion documentation, architecture governance, and continuous improvement.

• Work in an Agile environment focused on quality, innovation, and operational excellence.

What We're Looking For

• Strong expertise in Golang, Kubernetes, cloud infrastructure, and DevOps practices.

• Proven experience leading technical teams and delivering complex platform solutions.

• Passion for scalable architecture, automation, reliability, and engineering excellence.
  

  
  Working Location : Central
  

  Looking for candidate with at least 7 years of working experience in Golang development.
  Experience in Singpass and GCC+ is an advantage
  

  **We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Legal Counsel

Work Location: Changi site office
Working days: 5 days 8am to 5pm
Salary: $12k to $15k (depends on experience)

Requirements

• Possess at least Bachelor’s Degree in Law (LLB) from a recognized university
• Minimum 10 years of relevant legal experience in a law firm and/or in-house (preferably in the construction industry)
• Deep knowledge and understanding of construction laws, regulations, and compliance frameworks in Singapore

Job Description

• Ensure the legal integrity of contracts to protect the company's interests and prevent potential legal issues.
• Advise on the appropriate legal structures for project entities (e.g., joint ventures, SPVs) and ensure their compliance with local and international laws.
• Address international legal considerations, including trade laws, export controls, and multi-jurisdictional regulatory requirements.
• Draft, review, and revise contracts to ensure legal soundness, regulatory compliance, and alignment with the company’s strategic objectives. This includes negotiating contract terms with external parties to achieve favorable outcomes and safeguard the company’s interests.
• Identify and assess potential risks associated with contracts and implement strategies to mitigate them.
• Support the acquisition and maintenance of all necessary licenses, permits, and regulatory approvals required for project implementation.
• Negotiate and mediate disputes arising during contract execution, leveraging legal expertise to deliver fair and efficient resolutions.
• Provide legal guidance and support to internal teams on contract-related matters and broader legal issues as needed.
• Clearly communicate contract terms and obligations to internal stakeholders to ensure uniform understanding and compliance.
• Collaborate with external legal counsel on legal and/or regulatory matters when necessary and manage legal engagements effectively
• Work closely with project management, finance, procurement, and other departments to ensure cohesive contract management across the organization.
• Conduct legal training and briefings for internal stakeholders to ensure awareness of key legal issues and compliance requirements. 
• Maintain comprehensive and accurate records of contracts, correspondence, and related documentation.
• Oversee and manage claims, arbitrations, and court proceedings related to the company’s projects.
• Participate in ad hoc projects and assignments as directed by management, ensuring all legal and regulatory considerations are addressed.
• Assist in the development and implementation of internal policies and procedures to strengthen legal governance in project execution.