Total 4,410 job vacancies in Singapore

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

Job Description

• Industry/ Organization Type: Project Management Solution Provider
• Position Title: Technical Sales /Inside Sales Engineer (Valves products)
• Working Location: North – Tagore Lane (Nearest MRT: Springleaf)
• Working Hours: 5 days (Monday to Friday: 8.45am – 6pm)
• Salary Package: Up to SGD 4500 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Supervise and administer multifaceted projects in the oil & gas sector, focusing on structural components, piping & fittings, and valves
• Work with interdisciplinary teams to guarantee the effective completion of projects
• Formulate and apply purchasing strategies to enhance cost efficiency and product quality
• Perform market analysis and assess suppliers to ensure optimal partnership selections
• Negotiate and formalize agreements with vendors and suppliers to secure favorable terms
• Track project milestones to maintain strict adherence to deadlines and budget constraints
• Ensure all project activities comply with tender specifications and client requirement

APPLY NOW!!!

• Min. Diploma in Engineering
• Min. 2 years' experience in Project Management or Sales, specifically with valves in the Oil & Gas and Marine/Offshore sectors
• Strong project management skills and a customer service orientation are essential

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76244 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

• Position : Dental Technician / Engineer (Dental Equipment)
• Location: Near Tai Seng MRT
• Working Hours: 5 days, 8.30am to 5.30pm
• Salary: Up to $3,200 basic + company phone + transport reimbursement + AWS + variable bonus + 14 days annual leave
• Employment Type: Permanent
• Industry: Dental Care Equipment, MNC

Key Responsibilities

• Support installation, servicing, troubleshooting and technical support for dental equipment and related products.
• Coordinate with local and overseas dealers and customers on installation, service requirements and product-related enquiries.
• Provide onsite and remote technical support for equipment, IT-related installation and service issues.
• Assist in handling product complaints, feedback and service follow-ups.
• Manage spare parts inventory and coordinate parts availability for service support.
• Provide technical training and product guidance to dealers and customers when required.
• Perform other service-related duties assigned.

Requirements

• ITE, NITEC or Diploma in Electrical, Mechanical, IT, Electronics Engineering or related discipline.
• Good IT and computer knowledge.
• Relevant experience in equipment servicing, technical support or field service will be an advantage.
• Candidates without direct experience may be considered if they have suitable technical training and are open to hands-on technical development.
• Good communication skills to explain technical matters clearly to customers and healthcare professionals.
• Class 3 driving license will be an advantage when required to travel to customer or dealer sites.

Email to joie@searchpersonnel.com.sg

Do visit www.facebook.com/search.personnel for more job listings and career tips!

**We DO NOT charge our candidates nor bind them with any contract.**

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
• Ability to communicate in Thai fluently to engage and support Thai speaking customers to navigate industry standards.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.

Responsibilities

• Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols.

• Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers.

• Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional.

• Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints.

• Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket).

• Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines.

• Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging

.Requirements

• Degree in Computer Science, Engineering, or equivalent practical experience.

• 2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments. 

Must-Have Requirements

• Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity.

• Proficiency in backend development (Python, Node.js, Go, or Java — at least one).

• Active use of AI tools for coding, testing, and validation in prior roles or personal projects.

• Experience writing integration and unit tests; familiarity with test automation frameworks.

• Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data.

Good to Have

• Exposure to digital twin platforms or industrial IoT stacks.

• Familiarity with OT security considerations (network segmentation, secure protocol configuration).

• Experience with containerisation (Docker/Kubernetes) and CI/CD tooling.

• Knowledge of BACnet, DNP3, or other industrial protocols.

Licence no: 12C6060

Sales Region: 50% Singapore and 50% Asean (Malaysia, Indonesia and Philippines)

• New customers creation. To identifying potential customers with planning and organizing sales call schedule by cold calls or given sales leads. Candidate is also required to maintain and servicing of existing customers. Address sales and engineering support goals, contributing to weekly, monthly and annual sales report, analysing expenses, identifying inconsistencies and troubleshooting issues.
• Prepare and making of product presentation, provide product application support, demonstrate or performing of Installation on the appropriate sales engineering equipment according toorders, specificities and preferences.

• Communicate with Principals (Suppliers) and Sales team together to drive for achieving sales goal. Selected candidate will be receiving product training, which may include product information, product application, maintenance, service support or deal with system breakdowns that occurred.

• Achieve related duties and responsibilities as necessary to support, organize and monitor the success of the sales engineering department and productivity. Serve customers by identifying their needs and engineering adaptations of products, equipment, andservices.

• Identifies current and future customer requirements by establishing personal rapport with potential and actual customers and others in a position to understand their different need of product or service requirements. Prepare cost estimates by studying all related customer documents, consulting with engineers and other professional personnel.

• Determines improvements by analysing cost-benefit ratios of equipment, supplies, or service applications in customer environment and engineering or proposing changes in equipment, processes, or use of materials or services. Gains customer acceptance by explaining or demonstrating cost reductions and operations improvements. Develops customer’s staff by providing technical information and training.

• Complies with local legal requirements by studying existing and new legislation and anticipating future legislation. Prepares sales engineering reports by collecting, analysing, and summarizing sales information and engineering and application trends.

• Contributes to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed, recommending options and courses of action, and implementingdirectives. Contributes to team effort by accomplishing related results as needed.

Requirement:

• Minimum Diploma/Degree in Electronics/Photonics Engineering or related engineering field.
• 2 years of experience in sales industry preferred. Those without experience are welcome to apply as training will be provided

• New customer development. Ready to make cold calls. Presentation & Communication skills. Technical understanding.

• Requirements analysis & innovation. Familiar with Microsoft Office software.

Others:

• Date of Commencement: ASAP or short notice  

• Transport Allowance: SGD$80 per month

• Variable Bonus: Yes (Twice a year, May & Dec)

• Working Hours: 830am to 530pm (Mon - Fri)

• Annual Leave: 10 days (+ 1 day per year, max 16 days)

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. 

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

As a Practice Customer Engineer (CE) with a specialty in AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas in partnership with Platform CEs, writing code, developing prototypes, proofs-of-concept, and demos to promote new specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development. You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will blend business skills, market knowledge, and technical engagement to prove the value of the Google Cloud portfolio.

Qualifications

Job responsibilities

• Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
• Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
• Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like Retrieval-Augmented Generation (RAG), Text-to-SQL, and semantic search.
• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.

Preferred qualifications

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.
• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.
• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.

Job Description

We are looking for Senior/Staff Software Engineers to grow our Edge AI & Systems software team to the next level. This team works within the larger ASIC team to architect and enhance Neural Network solutions in the Video Processor roadmap including these current and older products:

• https://www.ovt.com/products/oax8000/
• https://www.ovt.com/products/oax4600/
• https://www.ovt.com/products/oa7100/

This position works in a smaller team that specifies, develops and delivers the toolchain that allows our customers and partners to develop or port AI models to run optimally on our Neural Processing Units.

Responsibilities

• Specify and develop new toolchain features for existing and new NPU architectures, working with the inference engine sub-team
• Enhance, maintain and support existing toolchain features, and modify model network layers for NPU optimality, working with the application engineering teams and sometimes customers/partners.
• Constantly improve productivity through automation in all areas

Skills

• Strong Python class based product development skills based on knowledge of design patterns
• Strong understanding of all aspects of a compiler and related development and debugging technologies, code generation, program analysis, and pipeline optimizations
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc.

Familiarity with the following is a plus:

• Deep Learning compilers like TVM
• Deep Learning framework - PyTorch
• Eclipse development for toolchain frontend
• CPU/DSP/GPU/NPU architectures

Requirements

1. Ph.D./MS/BS in Computer Science or Computer Engineering
2. At least 5 years of commercial development experience of which at least 3 are in compiler-related areas

Job Title: Microsoft Purview DLP Security Analyst / M365 DLP Support Engineer

Employment Period: August/September 2026 to March 2027, with possible yearly renewal
Location: 1 Fusionopolis Way
Working Hours: Monday to Friday, 8:30am to 6:00pm
Engagement Type: Contract / Renewable Term

Role Overview
We are seeking a Microsoft Purview DLP Security Analyst / M365 DLP Support Engineer to support Data Loss Prevention alert monitoring, incident handling, investigation, reporting, user support, and policy improvement activities.

The successful candidate will work closely with security operations, service desk, data owners, business users, compliance teams, and Microsoft Purview SMEs to ensure DLP alerts are properly monitored, investigated, classified, documented, escalated, and improved through continuous policy tuning.

Key Responsibilities

DLP Alert Monitoring & Incident Handling
Monitor DLP alerts from Microsoft Purview DLP Dashboard, Microsoft Defender XDR, email notifications, service desk tickets, and related alerting channels.

Log, track, triage, and classify DLP alerts, including initial investigation of true positives and false positives.

Perform first-level analysis and escalate high-risk or complex incidents to L2 security operations, L3 Purview SMEs, architects, compliance, legal, or other relevant stakeholders where required.

Investigation & Analysis
Perform detailed analysis of DLP incidents to identify root causes, including user behaviour, policy gaps, data misclassification, or process issues.

Validate and document false positives clearly to support policy improvement and operational reporting.

Support forensic analysis and evidence gathering for high-risk DLP incidents where required.

Escalation & Stakeholder Coordination
Coordinate with SOC teams, service desk, business units, data owners, compliance, legal, and IT stakeholders to ensure DLP incidents are handled appropriately and within expected timelines.

Communicate DLP-related issues clearly to both technical and non-technical users.

Policy Tuning & Change Management
Work with L3 SMEs and architects to recommend improvements to DLP policies based on repeated alerts, user feedback, threat trends, false positive patterns, and post-incident findings.

Support DLP change management activities arising from new regulatory requirements, new workloads such as Teams, Copilot or SaaS applications, and post-incident improvements.

Provide practical recommendations to improve DLP policy effectiveness and reduce unnecessary business disruption.

User Support & Awareness
Respond to user-reported DLP issues, including blocked activities, policy alerts, and suspected false positives.

Provide guidance to users on compliant data handling and proper use of sensitive information.

Support communication and awareness activities related to DLP policy enforcement.

Monitor and ensure the AI agent is running and responding correctly where applicable.

Reporting & Continuous Improvement
Prepare periodic DLP reports covering alert volumes, top users triggering policies, false positive rates, policy effectiveness trends, recurring issues, and recommended improvements.

Maintain proper documentation of investigations, findings, escalations, and closure actions.

Technical Skills Required
Strong hands-on knowledge of Microsoft Purview DLP is mandatory.

Experience in Microsoft Purview policy configuration, troubleshooting, alert review, and operational support.

Good understanding of DLP across Endpoint, Exchange, SharePoint, Teams, and Microsoft 365 workloads.

Knowledge of Microsoft Defender XDR, Microsoft 365 Compliance Portal, Microsoft Entra, sensitivity labels, data classification, and information protection.

Microsoft Intune experience will be an added advantage.

Operational & SOC Skills
Experience in incident triage, investigation, security alert analysis, ticket handling, true/false positive determination, and basic log analysis.

Experience with ticketing tools such as ServiceNow or similar platforms.

Ability to work with SOC, service desk, compliance, legal, and business stakeholders.

Data Security & Compliance Knowledge
Good understanding of data protection, data classification, data exfiltration risks, insider risk awareness, and DLP control concepts.

Knowledge of Singapore PDPA and data protection practices will be advantageous.

Soft Skills
Strong communication skills with business users and technical stakeholders.

Ability to explain DLP blocks, alerts, and policy enforcement in a professional and user-friendly manner.

Strong analytical thinking, root-cause analysis, documentation, and coordination skills.

Able to work independently while escalating appropriately when needed.

Experience Requirement
3 to 5 years of experience in Microsoft 365, Microsoft Purview, DLP, security operations, end-user support, or L2 support.

Hands-on experience supporting Microsoft Purview DLP in an enterprise environment is strongly preferred.

Preferred Certifications
Microsoft SC-400: Information Protection Administrator
Microsoft SC-200: Security Operations Analyst
Microsoft MS-102: Microsoft 365 Administrator
Microsoft SC-300: Identity and Access Administrator

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as:

o Advanced Manufacturing & Semiconductors

o Urban Systems

o AI-Augmented Engineering

o AI Safety & Security

o Chemical Engineering & Biotechnology

o Hospitality and Tourism

o Healthcare

o Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners.

IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market.

Key Responsibilities

· Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.

· Outcomes include impact or revenue of industry partners

· Understand industry partners requirements and help create proposals to them.

· Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters

Job Requirements:

· Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.

· Strong technical expertise in one or more of the following areas:

o Computer Vision and Image Processing

o Machine Learning, Deep Learning, and Reinforcement Learning

o Large Language Models (LLMs) and Multimodal Models

o Generative AI, Agentic AI, Physical AI, and Embodied AI

o Trustworthy AI, including explainability, auditability, and privacy

o Edge AI and model optimisation

o Physics-informed neural networks (PINNs) and surrogate modelling

o Time-series modelling and anomaly detection

o Bayesian methods and uncertainty quantification

o Graph Neural Networks (GNNs)

o Spatiotemporal data engineering

o Digital twins and simulation

o Demonstrated Applied AI for Healthcare and clinical practice

o Industry 4.0 and/or Industry 5.0 (added advantage)

· Experience applying AI to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.

· Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops.

· Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms.

· Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems.

· Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage.

Key Competencies

· Self-motivated and can work independently or in a team.

· Enjoy both analytical and hands-on work to solve problems.

· Able to build and maintain good working relationships with people within and external to the university.

· Flexibility to work across functions/teams as part of a team in a dynamic environment.

· Self-directed learner who believes in continuous learning and development

· Proficient in technical writing and presentation

· Possess good analytical and critical thinking skills

· Shows good initiative and takes ownership of work undertaken

· Proactive, resourceful, and able to take ownership of assigned responsibilities

Job Purpose

The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects.

This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs.

Key Responsibilities

Applied Research & Development

• Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies.
• Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development.
• Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.

This role offers the opportunity to work on complex, high-value projects while developing deep expertise in electrical systems and engineering leadership.

Job Description

We are seeking a Senior Electrical Engineer to lead and support the design, coordination, and execution of Low Voltage (LT), Switchgear and High Voltage (HV) systems for construction and infrastructure projects.

The role ensures all engineering works are delivered in accordance with project specifications, regulatory requirements and company standards.

Key Responsibilities

• Lead design review and implementation of LT/HV electrical systems and switchgear
• Review Single Line Diagrams (SLD), load calculations and protection coordination
• Coordinate with clients, consultants, subcontractors and internal stakeholders
• Oversee installation, testing and commissioning activities
• Ensure compliance with Singapore standards (EMA, SS, IEC) and project requirements
• Support technical evaluation of equipment, vendors and subcontractors
• Mentor junior engineers and support capability development

Requirements

• Degree in Electrical Engineering or equivalent
• Minimum 6–10 years of relevant experience in M&E / construction projects
• Strong hands-on experience in LT, HV systems and switchgear
• Familiar with testing and commissioning processes
• Able to work independently and as part of a project team

Preferred Qualifications

• Licensed Electrical Worker (LEW) or Professional Engineer (PE) certification
• Experience in infrastructure / MRT / LTA projects
• Familiarity with AutoCAD, BIM or electrical analysis tools (e.g. ETAP)

Job Description:

• General Failure Analysis Engineer
• Perform sample preparation (cross section, parallel lapping, chemical decapsulation), use of ion miller, FIB and other preparation techniques;
• Perform failure analysis using various tools and instruments such as SEM, EDX, 2D/3D X-ray;
• Communicate with customer for selecting proper analytical technique and data interpretation;
• Prepare analytical reports;
• Assist in new failure analysis techniques development;
• Perform routine instrument preventive maintenance and laboratory housekeeping

Job Requirements:

• At least Degree in Electrical / Electronic Engineering; Material Science Engineering; Science & Technology; with a minimum of 2 years of relevant working experience.

• Candidates without experience are welcome to apply;
• Must be able to perform FA study individually and work well in teams;
• Maintain good 6S practice during daily operation;
• Experience in FA techniques including: Sample preparation (cross section, parallel lapping, chemical decapsulation), X-Ray, SEM and FIB would be a bonus;
• Experience in Wafer Fab/Semiconductor/LED/Solar/HDD industries would be useful;
• A team player who can be independent, hardworking with a persevering attitude.

• Well-Established Company
• Basic $3500 to $5000 + AWS +Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: WEST
• Normal Working Hours (Mon to Fri)

Job Responsibilities:

• Review of tender documents

• Preparing, compiling bid proposal in accordance with the customer specification

• Coordinate and liaise with internal departments to ensure timely responses to queries subsequent to bid submission

• Liaising and seeks competitive quotations.

• Negotiate with customer and sub-contractor about pricing.

• Source for suppliers and sub-contractors for quotation for tendering.

• Ability to estimating the cost of the assigned scope and prepare bill of quantities (BOQ), Schedule of Rate (SOR), Schedule of breakdown (SOK) and Schedule of Technical Data (SOT)

• Work closely with the Engineering team to ensure project handover is carried out and that support is provided during the execution phase if required.

Requirements:

• Possess at least a Diploma or Bachelor's Degree in Mechanical or Electrical Engineering

• 2 to 4 years of relevant experience, preferably in HVAC / BMS industry.
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background 

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

As a PDE Central Yield Enhancement (YE) Engineer within Package Development Engineering (PDE), you will own and execute yield learning and improvement activities across advanced package technologies during HBM and NCG New Product Introduction (NPI). Your scope includes yield monitoring, excursion response, and yield stabilization, with an emphasis on rapid learning, early risk identification, and scalable solutions. 

This role plays a key part in driving robust yield performance from first silicon through NPI ramp and early HVM, partnering closely with Process Integration (PI), MRDA, Process Engineering, Assembly/Test Manufacturing and Quality teams. You will act as a hands‑on yield owner for NPI builds, translating data into actionable insights, driving fast learning cycles, early risk detection, and leading disciplined yield recovery. 

Job Responsibilities 

Yield Loss Accounted For 

• Account for HBM NPI builds across PWF, Assembly, and test through defect breakdown and PFA submission to understand fail mode 

• Own and execute assigned Central YE responsibilities for HBM NPI program, work closely with PI to identify defects that is coming from their area to brainstorm for CIP 

• Learn NPI processes, phase gates, and yield best practices 

• Assist in maintaining yield dashboards and trackers. Support PI/PE/RDA in identifying and transforming processing data to account/ breakdown a yield loss 

Yield Deviation Control 

• Analyze and report on yield deviation issue and trigger action from PI, PE or RDA 

• Support block run and partial conversion build yield analysis to early detect any impact on yield 

• Work closely with PCS team to identify SPC or FDC charts to put into YLR dashboard for shift left monitoring 

Yield Improvement Opportunities 

• Brainstorm with staff from other departments for improvement opportunities and propose to PI 

• Design and implement new solutions, including hotspot analytics, to improve the effectiveness of the automated defense line system. 

• Utilize software tool like Auto-diagnostics to find yield improvement opportunities 

Integrating Artificial Intelligence 

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements 

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work 

Job Requirements 

• Bachelor's or Master's degree in Electrical/ Electronics Engineering/ Computer Engineering / Computer Science with 2 to 5 years of experience in semiconductor industry, specifically involving yield analysis, defect/root cause investigation, or data-driven process optimization in advanced memory (HBM, DRAM, NAND) or high-volume semiconductor packaging. 

• Proficiency in Python (e.g., Pandas, NumPy) and SQL for semiconductor manufacturing data analysis, with hands-on experience developing interactive dashboards and visual reports using tools (including Spotfire and Power BI/Tableau) to translate large manufacturing datasets into actionable yield and process improvement insights. 

• Demonstrated experience building automated reporting workflows, data pipelines, or process automation solutions using Python scripting or RPA tools within a semiconductor manufacturing environment, with the ability to drive cross-functional decisions across manufacturing, process integration, and engineering teams in the semiconductor industry. 

• Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes 

Embody Micron’s Core Values 

• People – Respect, develop, and empower others. 

• Innovation – Drive continuous improvement and breakthrough thinking. 

• Tenacity – Show grit and determination. 

• Collaboration – Build trust and foster teamwork. 

• Customer Focus – Deliver excellence and value 

Key Responsibilities

• Manage and administer enterprise IT infrastructure, including servers, operating systems, middleware, and cloud environments.
• Provide day-to-day operations, monitoring, support, maintenance, and troubleshooting of infrastructure systems.
• Ensure the availability, performance, security, and reliability of mission-critical AFC system infrastructure.
• Perform installation, configuration, upgrading, patching, and maintenance of hardware and software platforms.
• Support infrastructure deployed in both on-premises environments and Government on Commercial Cloud (GCC) platforms.
• Administer and maintain:Red Hat Enterprise Linux (RHEL)Microsoft Windows Server environmentsIBM WebSphere Application Server (WAS)IBM WebSphere MQ / IBM MQ
• Monitor system health, capacity utilization, and performance to proactively identify and resolve issues.
• Develop and maintain automation scripts for system administration and operational efficiency.
• Participate in infrastructure planning, architecture reviews, and technology enhancement initiatives.
• Conduct technical research and development to support continuous innovation and modernization efforts.
• Implement and maintain backup, disaster recovery, and business continuity procedures.
• Ensure compliance with security policies, governance requirements, and operational standards.
• Collaborate with application, network, database, and security teams to resolve complex technical issues.
• Prepare and maintain technical documentation, operational procedures, and system configurations.
• Support infrastructure deployment, migration, and cloud adoption projects.

Qualifications & Requirements

• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, Data Communications, Engineering, or a related technical discipline.
• Diploma holders with significant relevant experience and technical expertise may also be considered.
• Minimum 3 years of hands-on experience in system administration and infrastructure support.
• Professional certifications in Red Hat Linux and/or Microsoft technologies, including cloud certifications, are preferred.
• Strong experience administering Red Hat Linux and Microsoft Windows Server environments.
• Experience managing middleware platforms such as IBM WebSphere Application Server and IBM MQ.
• Knowledge of system monitoring, performance tuning, patch management, and infrastructure maintenance.
• Experience supporting enterprise-grade production environments.
• Proficiency in Linux shell scripting and automation.
• Strong troubleshooting and root-cause analysis skills.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively within a team environment.
• Willingness to support mission-critical systems and participate in after-hours support when required.

Preferred / Advantageous Skills

• Experience with AWS (Amazon Web Services) and Government on Commercial Cloud (GCC).
• Experience with Infrastructure as Code (IaC) tools such as Terraform.
• Experience with configuration management and automation tools such as Ansible.
• Familiarity with GitLab, CI/CD pipelines, and DevOps practices.
• Knowledge of cloud migration, containerization, and modern infrastructure technologies.
• Experience supporting transportation, payment, or AFC systems.

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase within the Infrastructure Platforms teams, you will be responsible for the strategic evaluation of network technologies and topologies, ensuring compliance with industry standards and organizational objectives. This role drives requirements for network planning tools, develops performance metrics, leads initiatives for improved performance and design optimization, builds business cases for these initiatives, supports audit, risk, and compliance activities, and collaborates with regional carriers to adopt the best product solutions.

Job responsibilities

• Lead technology and topology strategy by evaluating emerging and established network technologies and recommending solutions aligned to business, security, and resiliency needs.

• Design and standardize target network topologies (LAN/WAN/DC/Cloud connectivity) that optimize performance, scalability, availability, and operational supportability.

• Own requirements definition for network planning/management tools, translating business outcomes and technical constraints into clear epics, features, and acceptance criteria.

• Partner with software engineering teams to prioritize the tool roadmap, validate delivered functionality, and ensure fit-for-purpose planning workflows and UX for engineers.

• Drive automation and integration across planning, inventory, capacity, and change processes to reduce manual effort, improve data quality, and speed decision-making.

• Define and implement network performance metrics and KPIs, establishing measurement standards, thresholds, and reporting cadences across critical services and regions.

• Analyze performance and capacity data to identify trends, bottlenecks, and systemic issues; provide actionable insights and continuous improvement recommendations.

• Lead performance and design optimization initiatives, embedding best practices and innovations to improve efficiency, reliability, and end-to-end service quality.

• Build and present business cases (cost/benefit, risk reduction, ROI, and delivery approach) to secure funding and executive alignment for optimization programs.

• Ensure audit, risk, and compliance readiness by maintaining end-to-end documentation, supporting control testing and regulatory expectations, partnering with compliance, and coordinating with regional carriers/service providers to align standards, interoperability, and service performance.

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

• 5+ years of experience in network planning, infrastructure engineering, or related roles.

• Deep understanding of network technologies, topologies, and transport protocols.

• Experience interpreting and applying industry standards to network design.

• Demonstrated ability to define requirements for software tools and collaborate with development teams.

• Experience developing and implementing network performance metrics.

• Proven track record of driving performance improvement and design optimization initiatives.

• Experience developing business cases and presenting to leadership.

• Familiarity with audit, risk, and compliance processes and documentation.

• Experience collaborating with regional carriers or service providers on network solutions.

• Strong analytical, documentation, and communication skills.

Preferred qualifications, capabilities, and skills

• Experience with network automation and orchestration platforms.

• Familiarity with cloud and hybrid network architectures.

• Project management or requirements engineering certification is a plus.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=41213b6cb951705808512d531acf12a5

Critical Development Cloud Support Engineer (Senior Engineer, Hybrid Cloud) 

Job Description 

• Provide technical support for maintenance, patching, and upkeep of Microsoft, Nutanix and Citrix server systems, load balancers, and proxies. 

• Assist in managing compliance-related tasks to ensure regulatory adherence. 

• Collaborate in troubleshooting and resolving system issues to minimise downtime. 

• Support day-to-day service and change requests, ensuring timely and efficient delivery. 

• Manage IT equipment inventory, including tracking, condemnation, and disposal processes. 

• Coordinate with vendors and clients to facilitate deployments, system refreshes, and other technical initiatives.  

Qualifications 

• At least Degree in Computer science / IT / Engineering or equivalent 

• Good technical skills in engineering, computer, and IT systems, and preferably in communications technologies as well 

• Good working knowledge of Life Cycle Management and Systems Engineering in Windows server platform not limited to Microsoft System Centre suite of products. 

• Proficiency in Microsoft Server Operating System, Nutanix Acropolis Hypervisor, Ubuntu, Redhat, ⁠Citrix Virtual Desktop, BeyondTrust PIM/PAM, RSA Security Appliance, Splunk, Solarwinds, Tenable VMS, Veeam Backup, Ansible Automation Platform, Tenable VMS etc. 

• At least 1-3 years’ experience in Information Technology industry in the areas of Microsoft, Nutanix or Citrix system implementation, project management and O&S. 

• Good communication and writing skills 

• Shall have experience in performing project management, handle technical challenges and in liaising with the user and vendor to define business requirements and deliver technical solution. 
  

  JOB-00487
  

  All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

  Kindly email your resume in a detailed Word format to swathi.dhar@peopleprofilers.com

  Only shortlisted candidates will be notified.

  People Profilers Pte Ltd

  20 Cecil Street, #08-09 PLUS Building Singapore 049705

  +65 6950 9747   

  EA Licence Number: 02C4944

  Reg. Number: R1111371

  EA Personnel: Swathi Dhar
  

Key Responsibilities

• Manage and administer enterprise IT infrastructure, including servers, operating systems, middleware, and cloud environments.
• Provide day-to-day operations, monitoring, support, maintenance, and troubleshooting of infrastructure systems.
• Ensure the availability, performance, security, and reliability of mission-critical AFC system infrastructure.
• Perform installation, configuration, upgrading, patching, and maintenance of hardware and software platforms.
• Support infrastructure deployed in both on-premises environments and Government on Commercial Cloud (GCC) platforms.
• Administer and maintain:Red Hat Enterprise Linux (RHEL)Microsoft Windows Server environmentsIBM WebSphere Application Server (WAS)IBM WebSphere MQ / IBM MQ
• Monitor system health, capacity utilization, and performance to proactively identify and resolve issues.
• Develop and maintain automation scripts for system administration and operational efficiency.
• Participate in infrastructure planning, architecture reviews, and technology enhancement initiatives.
• Conduct technical research and development to support continuous innovation and modernization efforts.
• Implement and maintain backup, disaster recovery, and business continuity procedures.
• Ensure compliance with security policies, governance requirements, and operational standards.
• Collaborate with application, network, database, and security teams to resolve complex technical issues.
• Prepare and maintain technical documentation, operational procedures, and system configurations.
• Support infrastructure deployment, migration, and cloud adoption projects.

Qualifications & Requirements

• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, Data Communications, Engineering, or a related technical discipline.
• Diploma holders with significant relevant experience and technical expertise may also be considered.
• Minimum 3 years of hands-on experience in system administration and infrastructure support.
• Professional certifications in Red Hat Linux and/or Microsoft technologies, including cloud certifications, are preferred.
• Strong experience administering Red Hat Linux and Microsoft Windows Server environments.
• Experience managing middleware platforms such as IBM WebSphere Application Server and IBM MQ.
• Knowledge of system monitoring, performance tuning, patch management, and infrastructure maintenance.
• Experience supporting enterprise-grade production environments.
• Proficiency in Linux shell scripting and automation.
• Strong troubleshooting and root-cause analysis skills.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively within a team environment.
• Willingness to support mission-critical systems and participate in after-hours support when required.

Preferred / Advantageous Skills

• Experience with AWS (Amazon Web Services) and Government on Commercial Cloud (GCC).
• Experience with Infrastructure as Code (IaC) tools such as Terraform.
• Experience with configuration management and automation tools such as Ansible.
• Familiarity with GitLab, CI/CD pipelines, and DevOps practices.
• Knowledge of cloud migration, containerization, and modern infrastructure technologies.
• Experience supporting transportation, payment, or AFC systems.

Job Summary

We are representing a client seeking an experienced IT Infrastructure Engineer (L2/L3) to support and manage enterprise infrastructure environments across on-premise and cloud platforms. This role ensures system stability, performance, and security while supporting projects and troubleshooting complex issues.

Responsibilities

• Provide L2/L3 support for IT infrastructure including servers, virtualization platforms, networks, cloud platforms, and endpoint systems to maintain operational continuity.
• Monitor system performance, availability, and capacity to ensure high uptime and reliability of IT services.
• Troubleshoot and resolve complex infrastructure issues by performing root cause analysis and implementing permanent fixes.
• Manage incident, problem, and change requests following ITSM processes and meeting SLA requirements.
• Administer and maintain Windows and Linux servers, Active Directory, DNS, DHCP, and related services to ensure system integrity.
• Manage virtualization platforms such as VMware and Hyper-V, and oversee storage environments for optimal resource utilization.
• Support cloud infrastructure (Microsoft Azure, AWS) by provisioning, configuring, and monitoring cloud resources.
• Perform patching, system upgrades, backups, and disaster recovery activities to safeguard data and system availability.
• Support network infrastructure including firewalls, switches, VPNs, and troubleshoot connectivity issues to maintain secure communications.
• Assist in implementing and maintaining security controls, endpoint protection, and access management to protect IT assets.
• Monitor and respond to security incidents in collaboration with cybersecurity teams to mitigate risks.
• Support infrastructure-related projects including cloud migration, system upgrades, network enhancements, and data center initiatives.
• Collaborate with application, data, and service delivery teams to ensure infrastructure readiness for system deployments and ERP transformation.
• Assist in planning, testing, deployment, and post-implementation support for infrastructure projects.
• Coordinate with external vendors and service providers to resolve issues, maintain systems, and deliver projects on schedule.
• Liaise with internal teams to align infrastructure solutions with application and business requirements.
• Maintain comprehensive technical documentation including system configurations, runbooks, network diagrams, and SOPs for operational consistency.
• Identify opportunities to improve system performance, automate processes, and enhance operational efficiency.
• Support knowledge sharing and mentor junior engineers to build team capability and expertise.

Required competencies and certifications

• Diploma or Degree in Information Technology, Computer Science, or related field.
• Minimum 3–6 years of experience in IT infrastructure support at L2/L3 level.
• Hands-on experience with Windows Server, Active Directory, and virtualization platforms such as VMware or Hyper-V.
• Experience supporting cloud environments including Microsoft Azure, AWS, or equivalent.
• Solid knowledge of networking fundamentals including TCP/IP, DNS, VPN, and firewalls.
• Experience with backup solutions, disaster recovery, and system monitoring tools.
• Familiarity with ITSM processes including incident, problem, and change management.
• Strong troubleshooting and analytical skills to resolve complex technical issues.

Preferred competencies and qualifications

• Experience working in hybrid cloud environments and participating in cloud migration projects.
• Exposure to cybersecurity tools and practices such as endpoint protection and SIEM.
• Scripting or automation skills using PowerShell, Python, or similar languages.
• Experience supporting ERP or enterprise application environments.
• Relevant certifications such as Microsoft, AWS, VMware, Cisco, or ITIL.

Other Information

WOLA RECRUITMENT PTE. LTD. (23C1703)

• EA Personnel No: R21100547
• EA Personnel Name: KIT WEE LEX

Job Description

• Industry/ Organization Type: Manufacture of Electrical Power Distribution, Control and Automation Systems
• Position Title: Electrical Design Engineer / Senior Electrical Design Engineer
• Working Location: Tuas Crescent (Transportation Provided)
• Working Hours: Monday – Friday, 8.15am – 5.45pm
• Salary Package: Basic + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Lead major projects within the Design Department, accountable for the full project lifecycle and team results.
• Plan, assign, and supervise design tasks; mentor and guide the design team.
• Review and approve drawings and technical documents from the team.
• Ensure proper implementation of design controls and maintain quality standards.
• Prepare material requisition lists for projects.
• Design electrical switchboards, control panels, and consoles per client requirements and company standards.
• Create and submit approval/shop/final drawings, short circuit calculations, and instruction manuals.
• Coordinate with clients and consultants regarding technical requirements; participate in technical meetings as needed.
• Communicate technical changes and variations to Sales & Marketing for claims or contract adjustments.
• Liaise with production to follow up on design and shop drawings.
• Support Sales & Marketing with technical input and backup for contract bidding.
• Continuously improve department workflow to increase efficiency and reduce waste.
• Follow and enforce Quality Management System procedures.
• Carry out other tasks as directed by supervisors.

APPLY NOW!!!

• Diploma or higher in Electrical Engineering.
• Minimum 3 years of relevant experience.
• Experience in switchboard/panel design (marine or industrial) is an advantage.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #78314 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment
• Proceed re-design according to implementation plan
• Proceeds electrical, mechanical or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation report
• Makes up product manufacturing standard

Technical Support

• Prepares technical information for parts localize and price negotiation
• Supports production line if necessary according to superior’s direction
• Supports parts faculty/investigation according to superior’s direction

Requirements:

• Bachelor of Electronics / Electrical Engineering/Mechanical Engineer
• Experience in analog or digital electrical hardware design
• Candidate without experience with positive and ‘can do’ attitude is welcome.

5 days work week

Bedok Area

Electronics Manufacturing Ind.

Interested candidates, please forward a detailed resume and email to audris@alignrecruitment.com.sg

Align Recruitment Pte Ltd

License No: 20C0253

Attention: Pan Hong (Reg No. R2094728)

- 1-year contract

- Up to $5,000

- Mon – Fri: 8am–5:30pm

- Tuas (Shuttle service provided) and various sites as assigned

Responsibilities:

The Underwater Sonar Field Engineer is responsible for the installation, commissioning, maintenance, troubleshooting, and lifecycle support of underwater sonar and acoustic sensor systems deployed at sites. The role requires strong hands-on technical capability in sonar, underwater acoustics, electronics, and system integration, with the ability to operate independently in challenging field environments. The engineer will work closely with customers, shipyard teams, and internal engineering groups to ensure safe, reliable, and optimal sonar  system performance.

• Install, configure, commission, and test underwater sonar systems, including transducers, arrays, processing units, interfaces, and associated power and UW network infrastructure within the system is operational and serviceable at sites. 
• Coordination with Authority to perform routine, corrective, and preventive maintenance on sonar and underwater acoustic systems to ensure operational availability and system reliability 
• Diagnose and troubleshoot sonar system faults spanning hardware, cabling, connectors, acoustic sensors, signal conditioning units, and embedded software to minimise system downtime. 
• Support system integration, alignment, calibration, and functional verification of sonar systems, including during upgrades, retrofits, or system modifications. 
• Conduct on-site testing, verification, and acceptance activities, including system health checks, operational testing, and post-maintenance validation. 
• Provide technical support, operational guidance, and basic training to customers, operators, and end-users on sonar system operation and maintenance. 
• Prepare accurate service reports, fault findings, maintenance records, and configuration documentation in accordance with quality and contractual requirements. 
• Adhere strictly to company policies, maritime safety regulations, electrical safety standards, and oƯshore work procedures,including work on vessels and restricted coastal sites. 
• Liaise with OEM and Vendors to resolve technical issues where applicable.

Period:

• 1-year contract 
  

Salary:

• Up to $5,000
   

Working hours:

• Mon – Fri: 8am–5:30pm 

Location:

• Tuas (Shuttle service provided) and various sites as assigned  

Requirements:

• Degree/Diploma/ITE in Engineering in Electronics or equivalent 
• Min 2 years’ experience in providing maintenance service 
• Able to perform 24/7 stand-by and attend to system faults within the respond time and resolution time 
• Able to work outfield on site 
• Good team player and yet able to work independently. 
• Possession of a valid Class 3 driving license would be advantageous​ 

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

raagini@successhrc.com.sg (Registration No. R23117106)

Please ensure that applications sent through email are no bigger than 1Mb.
We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)
160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891
T: 6337 3183 | W: www.successhrc.com.sg 

Field Service Engineer

• Working days: Monday - Friday 830am to 530pm
• Location : Ang Mo Kio Techplace
• Salary: $3,800 - $4,200

Job Responsibilities

• Install, test and commission new equipment at customers’ sites
• Carry out equipment assembly, servicing, trouble-shooting, repair, upgrade and preventive maintenance
• Perform other technical tasks as assigned
• Provide and maintain good customer service to customers

Job Requirements

• Nitec/Higher Nitec in Mechatronics/Mechanical Engineering or Diploma in Mechanical/Electrical Engineering
• At least 2 years’ hands-on experience in equipment servicing and repair (In semiconductor/automation industry)
• Able to work after office hours when required
• Able to travel overseas when required

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279