This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential. 

Qualifications 

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions 

• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts. 

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration) 

• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog) 

• Proficiency in ETL/ELT development and orchestration within Azure ecosystem 

• Strong skills in Data Analytics using SQL, Python or PySpark 

• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc. 

• Understanding of data governance, security, and CI/CD best practices for cloud data platforms 

• Strong problem-solving and analytical skills 

• Ability to work independently and remotely in a fast-paced environment 

• Bachelor’s degree in computer science, Information Technology, or related field 

Responsible for the design and delivery of DeltaV application system on site.

Participate in the development and implementation of Automation solutions in line with S88 standards for the plant.

Creates and maintains applications according to technical design and requirements.

Develop and/or review System Development Life Cycle (SDLC) deliverables, compliant with the site's standards. Determine the processes and data flow that supports the needs of the project.

Design & Develop plan for modifications to be made to the system through working with team in development of systems architecture, specifications, controls strategies, sequence of operations through all stages.

Requirements

Experience in a similar role, ideally in the Pharmaceutical and/or Biotechnology industry.

Emerson DeltaV DCS system experience and DeltaV Batch experience required

Experience in the Designing and commissioning of DeltaV DCS project for GMP manufacturing site.

Technical proficiency on controls systems including familiarity with control panels, networking, panel/field wiring and PLC control systems.

Through understanding of Batch s88 standards (CM, EM, Phases, Recipes, Units etc)

Familiarity with GAMP lifecycle and quality management processes employed in the pharmaceutical sector

Ability to work well in a team environment

Supervise and conduct system testing Factory Acceptance Test (FAT)

Excellent computer skills, proficient in the use of the following Microsoft tools: Excel, SharePoint, Word and PowerPoint.

Excellent communication and customer orientation skills

Good analytical & problem-solving skills

Ensure project Automation Strategy is followed.

We are looking for an experienced and proactive RE to lead site supervision for industrial, process plant, port, marine, reclamation and associated infrastructure projects in Singapore.

What You Will Do

• Assist the QP in supervising construction works and ensuring compliance with approved requirements.
• Lead and coordinate RTOs and site staff, including inspections, reporting and follow-up actions.
• Review drawings, method statements, material submissions and technical documents within the assigned scope.
• Resolve technical, quality and coordination issues with EPC contractors and the project team.
• Monitor progress, safety, testing, defects and non-conformance matters and report key risks promptly.
• Coordinate meetings, authority inspections, completion and handover activities.

What We Are Looking For

• Bachelor's degree in Civil, Structural, Building Engineering, or a related discipline from a recognized University.
• IES/ACES accreditation as an RE/ Qualified Site Supervisor, with a valid practicing certificate.
•  At least 3 years of relevant site-supervision experience after obtaining the recognized degree.
• Experience in petrochemical, pharmaceutical, power, industrial process plant, port, marine, reclamation or infrastructure projects is advantageous.
• Strong knowledge of Singapore construction standards, government permitting and authority requirements.
• Strong leadership, coordination and written and spoken English.

Why Join Us

Established in 1989, Engineers 9000provides one-stop Professional Engineering support for petrochemical, pharmaceutical, power, industrial process plant, port, marine, reclamation and infrastructure projects. Gain exposure across safe and cost-effective design, government permitting, multidisciplinary coordination, EPC support and construction delivery.

Interested candidates are invited to submit their resume, availability and expected salary.

Company Overview

Anritsu is a global leader in test and measurement, delivering advanced solutions in electronics, networks, mobile, industrial electronics, and environmental measurement. Operating in 90 countries, Anritsu drives innovation for next-generation network infrastructure.

Job Summary

Join Anritsu as a Sales Engineer/Account Manager in Singapore, driving customer acquisition and revenue growth through technical sales expertise and strategic account management in the test and measurement industry.

Responsibilities

• Establish sales objectives aligned with company policies and strategic goals to drive business growth
• Manage and expand the existing customer base while identifying and penetrating new customer accounts to increase market share
• Prepare and deliver technical solution proposals and accurate quotations tailored to customer needs
• Develop and implement effective sales strategies and programs to achieve sales targets and revenue growth
• Collaborate with sales and field engineering teams to coordinate customer engagement and technical support
• Participate in induction and training programs at global headquarters and development centers to enhance product knowledge and sales capabilities

Preferred competencies and qualifications

• Diploma or Degree in Telecommunications or Electronics Engineering
• Relevant sales experience in the Test and Measurement industry preferred
• Technical knowledge in RF/Microwave Communications, Silicon Photonics, Wireless Communications (5G, LTE, BT, WLAN), or IP/Ethernet/Datacom considered an asset
• Strong communication and presentation skills with a results-oriented and self-motivated approach
• Team player with a strong drive to achieve sales objectives
• Car ownership is advantageous

Other Information

• This role is based in Singapore
• Part of the induction program includes training at Anritsu’s HQ in Tokyo, Japan, and RF development center in Morgan Hill, California, USA

You will work remotely in a hybrid team model (Local Hong Kong coordination + remote execution), contributing to daily ops,incident resolution, upgrades, testing, and 24x7 rotation (with on-call premiums).

Key Responsibilities

• Daily System Support & Multi-Cloud Monitoring
• Perform daily health checks (post-6pm HKT scripts for non-business hours) across on-prem VMware and cloud environments.Evaluate/optimize monitoring triggers, alerts, and scripts (vSphere alarms, Horizon dashboards, Azure Monitor, AWS CloudWatch,Alibaba Cloud Monitor).
• Triage alerts: initial diagnosis, escalation, and resolution support.
• Incident & Problem Management
• Handle incidents (S1/S2 priority) with impact analysis and root-cause resolution within SLAs.Participate in on-call rotation (Airport 24x7; premium for standby/nights/holidays).
• Document and improve processes for different scenarios
• Upgrades, Patching & Multi-Cloud Operations
• Assess and apply patches/updates for VMware stack + cloud services (Azure VMs, AWS EC2, Alibaba ECS or servers).Execute after-hours upgrades/standby (snapshots, rollbacks, verification).Support hybrid setups if needed (e.g., Azure Arc, AWS Outposts, Alibaba hybrid cloud). (Not a must)
• Infrastructure as Code (IaC) & Automation
• Implement/maintain IaC for infrastructure provisioning and configuration.Automate repetitive tasks (deployments, backups, Horizon pool management, cloud resource scaling).
• Regression Testing & CI/CD Support
• Execute and maintain regression test scripts .Create/modify tests for platform/software changes across on-prem and cloud.
• Security, Compliance & Platform Awareness
• Monitor vendor/security advisories for VMware, Azure, AWS, Alibaba Cloud.Recommend/implement patches, IAM best practices, and security configurations.Assist with account/user management and compliance (PDPO alignment).
• Collaboration & Knowledge Sharing
• Work with local HK team and software vendors.
• Maintain runbooks, knowledge base, and change request impact analysis.

Required Skills & Experience

Must-Have

• 3+ years hands-on DevOps/infra ops experience.
• Strong VMware expertise: vSphere/vCenter/ESXi administration, Horizon VDI (pool provisioning, golden images, troubleshooting for 20–50 users), PowerCLI scripting.
• Multi-cloud experience: Azure (VMs, Monitor, Arc, IaC with ARM/Bicep), AWS (EC2, CloudWatch, CloudFormation, IAM), Alibaba Cloud (ECS, Monitor, ROS, hybrid capabilities).
• IaC proficiency: Terraform, plus familiarity with Azure ARM/Bicep, AWS CloudFormation, Alibaba ROS or other tools.
• Scripting/automation: Python, Bash, PowerShell, Ansible.
• Monitoring & logging: Cloud-native tools (Azure Monitor, AWS CloudWatch, Alibaba Cloud Monitor) + general (Prometheus/Grafana or similar).
• Incident response, troubleshooting, and on-call experience in production environments.

Preferred

• Cloud Certifications: For AWS and/or Azure
• CI/CD tools (Jenkins, GitLab CI, GitHub Actions, Azure DevOps).
• Backup/DR: Veeam, Azure Backup, AWS Backup, Alibaba snapshots.
• Security tools: Azure Sentinel, AWS GuardDuty, Alibaba Security Center.
• Experience in government/critical infrastructure (transport/aviation preferred).

Responsibilities:

• Handle end to end sales & project process.
• Prepare all relevant documentations, schedules, presentations & mock-ups.
• Attend project coordination meetings offsite & onsite.
• Coordinate between internal and external Clients, ensuring production and project completion is on time.

Requirements:

• Minimum Diploma or equivalent.
• Proficient in Microsoft Office.
• Team player with good communication skills.
• Good organizational skills with ability to prioritize work.
• Resourceful & able to work independently.
• Positive attitude with good problem-solving skills.

Candidate with the following requirements will be advantageous (not a necessity):

• Knowledge in AutoCAD & Architectural Drawings.

Responsibilities:

• Research, design and develop lighting systems and modules for customised products or new products.
• Evaluate and develop design improvement, technical solution and cost reduction for existing products.
• Analyse manufacturing problems and recommend solutions.
• Perform and check engineering calculations and prototypes to verify product design and production methods.
• Source for and evaluate suppliers, components and products.
• Create, monitor and evaluate test programs to verify/validate product performance.
• Prepare calculations, schedules, reports, drawings and other related documentations and analysis.
• Create, check and maintain appropriate engineering documentations in support of a product design, in accordance with Company’s procedures.
• Provide sales, production, operations and project teams with technical and design support onsite and offsite.
• Track project status and coordinate for successful testing, commissioning and completion.
• Maintain library of research data, detailed methods, evaluation of components, materials, products and production methods.

Requirements:

• Bachelor Degree in Engineering (or similar based on experience).
• Minimum 5 years of relevant working experience.
• Portfolio of products designed and produced.
• Examples of solutions engineered.
• Proficiency in the use of Microsoft Office, AutoCAD 2D/3D and lighting calculation software.
• Experience in 3D printing.
• Experience in manufacturing processes and materials.
• Advanced analytical, critical thinking and decision-making skills.
• Interest in research, dive deep on subjects and able to self-learn.
• A keen eye for detail, organized, resourceful and independent.
• Team player with excellent written, pictorial and verbal communication skills.
• Good project management skills.
• Positive attitude and commitment to make a difference.

Benefits & Others:

• 5.5-day (alternate Saturday) work week.
• Training will be provided.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

About our client: Our client operates in the process and industrial plant engineering design and consultancy sector, supporting industries such as Oil & Gas, Power Generation, Petrochemical and Refining.

About the role:

• Reviewing project scope and budget
• Designing schedules and project execution plans
• Contributing to project cost, quality, scope, and schedule control to ensure on-time delivery within budget
• Leading document design reviews and customer meetings
• Programming PLC-based systems using customer-supplied design documents and proprietary libraries
• Developing Factory Acceptance Test (FAT) plans and leading customer-witnessed FAT activities
• Performing commissioning activities and supporting end users with process troubleshooting
• Alerting Operations Manager and Project Manager of potential or current project issues
• Reviewing customer specifications to support preparation of accurate sales proposals when required
• Travelling within the Asia Pacific region to support project execution and site activities

About you:

• Bachelor’s Degree in Electrical, Mechanical, Mechatronics, or equivalent experience
• Minimum 1 year experience in PLC-based control system design in Oil & Gas, Power Generation, Petrochemical, or Refining industries
• Proficient in MS Outlook, MS Project, Excel, Visio, and IEC 61131 PLC programming languages
• Experience in turbomachinery control applications, including gas turbines, steam turbines, motor drives (VFD, induction and synchronous), surge protection, generators, AVR, and vibration monitoring
• Bently Nevada configuration and Allen-Bradley PLC design/programming experience preferred
• Positive attitude and strong initiative
• Willingness to travel for overseas assignments

Other:

• Work location: Central
• Work hours: 5-day workweek

*Please note that only shortlisted candidates will be contacted.*

Employment Agency: Kingsforce Management Services Pte. Ltd.

Employment Agency Licence No: 94C3545

EA Personnel: Kimberly Wong

EA Personnel Reg. No.: R1984508

Sixes XioLift is a fast growing vertical transportation specialist committed to delivering safe, reliable, and high quality maintenance and service solutions across Singapore. Driven by technical excellence and a strong safety culture, we support residential, commercial, and industrial clients by ensuring their lift systems operate smoothly and efficiently at all times.

As our presence in the Singapore market continues to expand, we are building a dedicated team of professionals who share our passion for engineering excellence, customer satisfaction, and continuous improvement. At Sixes XioLift, we believe our people are our greatest asset. We invest in training, hands on learning, and career development to help our team grow alongside the company.

Joining Sixes XioLift means becoming part of a supportive and dynamic work environment where teamwork, responsibility, and professionalism are valued. We offer long term career opportunities for individuals who are motivated, safety conscious, and eager to contribute to the growth of a forward looking organization.

Job Responsibilities:

- Drafting

- Coordinate with PT drafter

- Payment claims

- Project documents

- ME09 upgrading docs

- FI submission

- Prepare PTO documents

- Other project admin work

Qualifications / Requirements:

- Min diploma in engineering

- Relevant prior experience in lift industry or construction sector

- Must know Autocad and BIM

- Able to read technical documents

- Office based

About our client: Our client operates in the process and industrial plant engineering design and consultancy sector, supporting industries such as Oil & Gas, Power Generation, Petrochemical and Refining.

About the role:

• Provide technical assistance and commissioning support to clients during installation, commissioning, startup, and overhaul of mechanical equipment including centrifugal compressors, steam turbines, reciprocating compressors, and control systems.
• Perform troubleshooting, fault diagnosis, and resolution of control system issues in field environments.
• Support installation, servicing, maintenance, and startup of OEM equipment and systems.
• Interpret and read piping and instrumentation diagrams (P&IDs) for field execution and troubleshooting.
• Write clear and concise daily field reports to document job progress, issues, and resolutions.
• Ensure accurate completion of installation, commissioning, and startup documentation prior to demobilisation from site.
• Prepare and submit expense reports and timesheets in a timely and accurate manner.
• Record and report field issues to enable factory investigation, corrective actions, and warranty claim resolution.
• Provide training and guidance to customer operators and maintenance personnel when required.
• Ensure compliance with company technical standards, safety requirements, and quality procedures at all times.
• Undertake any other duties as assigned by management.

About you:

• Minimum Degree in Electrical & Electronics Engineering or Mechanical Engineering.
• At least 4 years of hands-on field service experience in Oil & Gas and/or Petrochemical industries.
• Strong experience in turbomachinery equipment such as compressors, steam turbines, and related rotating equipment.
• Familiarity with control systems such as Triconex, Siemens, Allen-Bradley PLCs, or equivalent.
• Ability to read and interpret P&IDs, technical drawings, and engineering documentation.
• Proficient in MS Office and MS Project applications.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and interpersonal skills with customer-facing experience.
• Ability to work independently with a high level of integrity, responsibility, and professionalism.
• Willingness to travel extensively for overseas assignments.

Other:

• Work location: Central
• Work hours: 5-day workweek

*Please note that only shortlisted candidates will be contacted.*

Employment Agency: Kingsforce Management Services Pte. Ltd.

Employment Agency Licence No: 94C3545

EA Personnel: Kimberly Wong

EA Personnel Reg. No.: R1984508

We’re Hiring: AI Engineer (Agentic AI & RAG Solutions)

Join a forward-thinking team building next-generation AI solutions in the procurement domain. This role offers the opportunity to work on cutting-edge Agentic AI systems, leveraging large language models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native technologies to deliver impactful, scalable AI applications.

Job Highlights

Work Location: Depot Road (109679)
Working Arrangement: 5 Days Work From Office (Office Hours)
Employment Type: 2-Year Contract
Salary: Up to SGD 7,000 + AWS + Performance Bonus + Loyalty Bonus
Technical Assessment: Required

Role Overview:

Responsible for mechanical system design review, compliance checks, reliability monitoring, and quality assurance of lift mechanical components.

Key Responsibilities:

1. BD / Tender Support

• Review mechanical specifications and drawings.

• Evaluate traffic analysis compliance and design feasibility.

• Identify clashes with local codes or common practices.

2. Project / Installation Stage

• Review shop drawings and mechanical calculations.

• Gatekeep installation methodology and mock-up lift checks.

• Conduct installation audit inspections.

• Participate in handover inspections and defects identification.

3. QAQC & Engineering Quality

• Monitor reliability of mechanical components (ropes, guide rails, door systems).

• Identify recurring mechanical faults and propose improvements.

• Conduct supplier quality assessments and lab testing where necessary.

• Approve parts listing for mechanical components.

• Ensure documentation control for spare parts database.

4. Root Cause Investigation

• Investigate complaints such as noisy operations, vibrations, rusty ropes, etc.

• Recommend engineering solutions to reduce recurrence.
  

Job Requirements:

• Diploma / Bachelor’s Degree in Mechanical Engineering.

• Minimum 3 years relevant experience (lift industry preferred).

• Strong analytical and problem-solving skills.

• Hands-on and detail oriented.

• Strong understanding of lift mechanical systems.

Job Summary

We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on technical leadership, strategic architecture oversight, and people management, driving excellence across the full software lifecycle while embedding AI/ML capabilities into core products and platforms.

Key Responsibilities

Software Engineering Leadership

1. Establish and maintain robust processes and documentation across the Software Product Lifecycle, from inception to retirement.
2. Oversee the end-to-end application lifecycle—including requirements analysis, system design, development, testing, deployment, release, and post-launch support.
3. Take ownership of critical technical components: UI/UX design, business logic, data access layers, external API integrations, and database schema design.
4. Evaluate and recommend tools, frameworks, and methodologies to ensure product quality, scalability, and maintainability.
5. Deliver production-ready software by writing clean, efficient, and well-documented code.
6. Mentor and coach engineering teams in: Writing comprehensive unit and UI tests, troubleshooting, debugging, and performance optimisation, designing intuitive user interfaces and developing real-time and batch data processing systems
7. Collaborate with Sales, Product, and Project teams to scope, prioritise, and deliver new features.
8. Ensure both new and legacy systems adhere to quality, security, and compliance standards.
9. Proactively research and propose new software products, tools, and architectural improvements.
10. Maintain thorough technical documentation for sustainability and knowledge transfer.
11. Keep abreast of emerging technologies and industry best practices.
12. Recruit top talent and design individualised training and career development plans.

AI/ML Strategy & Execution

1. Design, develop, and optimise AI models, leveraging both open-source and proprietary resources.
2. Build scalable AI solutions using cloud platforms (AWS/Azure/GCP), data pipelines, and modern databases.
3. Implement and deploy NLP, LLMs, and other AI frameworks for real-world use cases.
4. Architect and deliver RESTful APIs to expose AI capabilities to internal/external systems.
5. Apply Retrieval-Augmented Generation (RAG) to improve relevance, accuracy, and trustworthiness of AI outputs.
6. Practise advanced prompt engineering, including instruction tuning, templating, and fine-tuning strategies.
7. Embed AI development within CI/CD pipelines, enforcing test-driven development and reproducible workflows.
8. Conduct rigorous evaluation of models using appropriate metrics, benchmarks, and validation protocols.
9. Continuously monitor advancements in AI/ML research and translate them into business value.
10. Partner with stakeholders to convert business challenges into AI-powered solutions.
11. Ensure seamless integration of AI components with existing software ecosystems.

Requirements

Experience & Technical Background

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 10+ years of hands-on software development and leadership experience.
• Proven track record as a Team Lead or Tech Lead, managing end-to-end software projects.
• Strong domain experience in cybersecurity (especially European standards), IP telephony, and data networking, ideally in a project or technical management capacity.
• Demonstrated portfolio of released mobile/web applications (App Store, Play Store, or enterprise deployments).
• Proficiency in multiple programming languages: Essential: SQL, Python, Strongly preferred: Node.js, TypeScript, C#, JavaMobile: Swift, Objective-C, Java (Android), plus hybrid frameworks (e.g., React Native, Flutter)
• Expertise in: SDLC & Agile methodologies, data modelling, and relational (RDBMS) & NoSQL database design, REST/SOAP API integration, Cloud-based AI/ML deployment (AWS/Azure/GCP) (a plus), ML frameworks (TensorFlow, PyTorch) (a plus)

AI/ML Competencies

• Solid foundation in machine learning (supervised/unsupervised learning, neural networks, optimisation, evaluation metrics).
• Experience with data preprocessing, feature engineering, and SQL for AI pipelines.
• Deep understanding of algorithms, data structures, and their role in scalable ML systems.
• Familiarity with MLOps practices, including CI/CD for AI, model versioning, and monitoring.

Soft Skills & Attributes

• Exceptional verbal and written communication, able to explain technical concepts to non-technical audiences.
• Strong organisational, multitasking, and prioritisation skills.
• Self-motivated, independent, and able to thrive with minimal supervision.
• Collaborative team player who can inspire, mentor, and align engineers toward shared goals.
• Adaptable under pressure, with a bias for action in fast-paced environments.
• Committed to lifelong learning and technology innovation.
• Willingness to travel as required.

Job Summary

TheNetwork and System Engineer is responsible for the design, implementation,administration, maintenance, security, and troubleshooting of ITinfrastructure, including servers, networks, firewalls, and related systems.The role supports both internal and customer-facing environments, ensuringsystem reliability, security compliance, and operational efficiency.

Key Responsibilities

Infrastructure & SystemsManagement

• Perform installation, migration, administration, maintenance, and troubleshooting of servers and IT systems.
• Design, install, configure, and maintain servers, network devices, and firewall systems.
• Proactively monitor and maintain system, network, and security infrastructure to ensure optimal performance and availability.
• Apply operating system updates, patches, security fixes, and configuration changes.
• Conduct system health checks, hardening activities, and remediation works.

Network & Security Administration

• Administer and support enterprise network and security environments, including data centre
• Maintain perimeter security systems such as firewalls and intrusion detection/prevention systems.
• Ensure compliance with cybersecurity and security hardening requirements.
• Manage and troubleshoot TCP/IP networking, VPN connectivity, switches, routing, and related network services.

Incident Management &Troubleshooting

• Analyse, troubleshoot, and resolve system, application, hardware, software, security, and network-related issues both remotely and on-site.
• Investigate incidents through system and network logs and identify root causes and preventive measures.
• Document incident reports and maintain records of system and network performance.
• Provide first and second-level technical support and coordinate issue resolution with vendors and internal stakeholders.

Project & Change Management

• Execute standard operational changes and project-related changes within approved maintenance and change windows.
• Participate in infrastructure projects, system enhancements, and new technology implementations.
• Support automation and scripting initiatives to improve operational efficiency.
• Assist in requirement gathering, solution design, implementation, and deployment of new systems and services.

Documentation & Vendor Management

• Maintain accurate technical documentation, including system architecture, configurations, operating procedures, process flows, and support guidelines.
• Liaise with vendors, service providers, and internal IT teams for issue resolution and project implementation.

Support & Operations

• Provide after-hours support for infrastructure incidents and scheduled maintenance activities.
• Participate in a 24x7 standby rotation roster.
• Travel to customer and project sites across Singapore when required.

Requirements

Education

• Degree or Diploma in Information Technology, Computer Science, or a related discipline.

Experience

• 3-5 years of relevant experience in systems, network, and security administration.
• Experience supporting enterprise infrastructure environments, including on-premises.
• Hands-on experience with Windows Server administration and Active Directory/LDAP user management.
• Experience with firewall, network, and security technologies.

Technical Skills

Strong knowledge of:

• Windows Server environments
• Active Directory / LDAP
• TCP/IP networking
• VPN technologies
• Network switches and routing
• Firewalls and security appliances
• Infrastructure monitoring and troubleshooting
• Scripting and automation tools
• Ability to diagnose and resolve hardware, software, system, middleware, and network issues.