Total 461 test engineer job vacancies in Maintenance / Repair category in Australia

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Machinery Service Engineer (Semiconductor Company)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $3000 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

The company is a well-established global leader providing advanced production systems and technical services in the printed circuit board and semiconductor industry. The company uses cutting-edge Japanese technology and offers strong opportunities for learning and career growth.

Responsibility

• Install, configure, and maintain production machinery at local and regional sites.
• Diagnose and resolve equipment issues to ensure optimal performance and minimize downtime.
• Manage spare parts inventory to support timely and effective maintenance activities.
• Travel domestically and internationally for project assignments, training, and technical support.
• Collaborate with clients and internal teams to troubleshoot and resolve technical challenges efficiently.
• Maintain accurate documentation of service activities and provide regular updates to stakeholders.
• Comply with all safety regulations, workplace procedures, and environmental protocols to ensure a safe working environment.

Requirements

• Diploma or equivalent in Electronics/Electrical/Microelectronics Engineering or related fields
• Frequent overseas travel for training and service assignments may be required; candidates with flexibility to travel will be viewed favorably.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701
Registration: R1326740

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As the National Skills Authority, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

The National Jobs-Skills Data Office, under the Skills Intelligence and Planning Division, serves three core functions:

·      Data and Algorithms Innovation and R&D: Undertake development of new data models and algorithms to serve whole of government’s jobs-skills intelligence needs;

·      Jobs-Skills Product Management, Development and Delivery: Manage and enhance jobs-skills products, which includes UX/UI design and end-to-end product life cycle management;

·      Data Management and Operations: Centrally manage data quality, data models and data infrastructure to support internal and external users

Come join this game-changing team in SSG, where we empower employers, citizens, training providers, and policymakers to make informed decisions by using a user-centered approach, providing trusted source of jobs-skills data and insights, and a common set of jobs-skills taxonomies for a skills-first future!

As a Machine Learning Engineer, you will be a key member of the Data Management and Operations team, designing, building and deploying scalable machine learning systems that power real-world applications. You will be creating robust data pipelines and integrating models into production environments. Working closely with data scientists, data engineers and software engineers, you will ensure that machine learning solutions are reliable, efficient and continuously monitored to maintain performance over time.

• Design and implement scalable AI/ML infrastructure by aligning data warehouses, APIs, and downstream systems under a governed, scalable model that ensures seamless integration with existing systems while maintaining high performance and reliability standards

• Develop and deploy robust AI solutions including the design, development, and deployment of AI models that integrate seamlessly with existing systems, while evaluating and integrating third-party AI tools and frameworks to enhance analytical capabilities

• Optimize and maintain ML model performance through continuous fine-tuning of existing AI models for performance, accuracy, and scalability, implementing automated monitoring systems for model performance including drift detection, latency monitoring, and resource utilization tracking

• Build and maintain end-to-end data architecture by designing robust data systems that integrate ingestion, metadata, storage, and consumption layers across production environments, supporting large-scale datasets including Skills Framework data, job postings, and administrative data

• Implement MLOps and CI/CD processes by establishing continuous integration and deployment pipelines for ML models using version control, containerization, orchestration, and comprehensive testing environments to ensure reliable model deployment and updates

• Ensure system reliability and governance compliance through implementation and optimization of data pipelines in accordance with NJSDO data governance standards, diagnosing and resolving pipeline issues, and contributing to incident response processes and post-mortem reviews

• Drive cross-functional collaboration by working closely with data engineers, product teams, and governance stakeholders to align model deployment with business requirements, translating technical capabilities into meaningful business outcomes that support workforce planning initiatives

Requirements

Experience:
·  Proficiency in data engineering practices with demonstrated experience building scalable data pipelines and managing large-scale data processing workflows

·      Strong programming skills in Python and SQL with experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn for model development and deployment

·      Experience deploying machine learning models in production environments with knowledge of CI/CD practices, DevOps methodologies, and containerization technologies

·      Hands-on experience working with large and multiple datasets, data warehouses, and cloud-based data platforms with understanding of data governance and quality management principles

Machine Learning Architecture:

·      Strong understanding of ML algorithms, model evaluation techniques, and performance optimization strategies with experience in model monitoring and automated retraining workflows

Analytical and Problem-Solving Competencies:

·      Strong analytical, conceptualization, and debugging skills with ability to troubleshoot complex technical issues across the full ML pipeline

·      Proven ability to work independently while contributing effectively to cross-functional teams in fast-paced, collaborative environments

Communication and Collaboration Skills:

·      Excellent written and verbal communication skills withdemonstrated ability to explain complex technical concepts clearly to non-technical stakeholders including product managers and policy teams

Successful candidates will be offered a 1-year contract with potential for a 1-year extension and consideration for permanent tenure thereafter.

Candidates are encouraged to sign up for a Careers & Skills Passport (CSP) account and include your CSP public profile in your resume. Please check out www.myskillsfuture.gov.sg for details on the CSP.

We are seeking a highly motivated and experienced M&E Senior Facilities Engineer to oversee the mechanical, electrical, and plumbing (MEP) systems at the site. This role involves managing day-to-day operations, preventive and corrective maintenance, as well as supporting Addition & Alteration (A&A) works to ensure seamless campus facilities operations. The engineer will work closely with contractors, vendors, and the client to deliver efficient, safe, and sustainable facilities services.

Key Responsibilities:

• Oversee daily operations and maintenance of M&E systems (HVAC, electrical, plumbing, fire protection, etc.) within the premises.
• Manage A&A works, including feasibility studies, project coordination, contractor supervision, and ensuring works are completed safely, on time, and within budget.
• Conduct regular inspections, audits, and troubleshooting to ensure systems’ reliability and compliance with local codes and regulations.
• Lead and supervise technicians and contractors in preventive/corrective maintenance activities.
• Support energy efficiency initiatives and monitor utility consumption to identify cost-saving opportunities.
• Prepare technical reports, incident investigations, and documentation for compliance and client updates.
• Liaise with authorities, consultants, and vendors for permits, statutory submissions, and inspections.
• Ensure workplace safety (WSH) compliance and implement risk assessments and safety procedures.
• Provide technical advice to the client and management on system upgrades, asset lifecycle, and sustainability improvements.

Required Qualifications:

• Bachelor’s Degree or Diploma in Mechanical, Electrical, Building Services, or Facilities Engineering.
• Minimum 5 years of relevant experience in M&E facilities management, with exposure to A&A projects.
• Strong knowledge of Singapore Codes of Practice, BCA, SCDF, and relevant statutory regulations.
• Familiar with CAFM/CMMS systems and MS Office applications.

Preferred Experience:

• Prior experience working in institutional/educational facilities or campus environments.
• Hands-on experience in managing A&A works from planning to execution.
• Exposure to energy management and sustainability projects.
• Previous involvement in managing outsourced service providers.

Skills Required:

• Strong technical knowledge of HVAC, electrical, plumbing, and fire protection systems.
• Project management and contractor supervision skills.
• Excellent communication and client-facing skills.
• Problem-solving and analytical abilities for troubleshooting complex issues.
• Good leadership and team coordination skills.
• Knowledge of Workplace Safety & Health (WSH) practices.

Education / Experience

 Diploma and/or Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline

Job Description

• Responsible for configuration, maintenance and upgrading of servers, networks and related hardware and software

• Perform asset management and maintain accurate asset records

• Perform day-to-day IT infrastructure health and security monitoring and checks

• Troubleshoot infrastructure and network related issues

• Perform change management control, and ensure changes are trackable and properly documented

• Respond to service requests and incidents to provide timely and effective resolutions

• Work with service providers/vendors to ensure SLAs are met

• Best be able to automate tasks with basic Bash/PowerShell scripting and high-level programming languages such as Python/Perl

• Provide support in the provisioning of IT infrastructure-related projects and other ad-hoc duties as assigned

Requirements

• Diploma/Bachelor of Science in Computer Science/Computer Information Systems or equivalent

• Entry level welcome or relevant working experience preferred

• Best to have working knowledge and strong understanding in (Redhat, Windows OS, Cisco, Dell EMC, Pure Storage, VMware)

• Strong analytical and problem-solving skills

• Able to troubleshoot IT problems using logs, and tracing through steps

• Able to work independently and contribute as a team

• Willingness and capacity to learn new technologies and tools for the continuous improvement of systems and processes

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

• Lead and supervise a group of Technicians/Technical Assistants and manage contractors in the execution of refinery maintenance activities.
• Implement reliability programs and develop maintenance procedures for instrumentation & electrical equipment to facilitate consistent execution of maintenance tasks.
• Investigate instrument & electrical equipment failures or malfunctions in order to identify root causes of problems as well as recommend and implement solutions.

• Degree in Electrical and Electronics Engineering.

• 2 years' relevant experience in oil refinery/petrochemical or related industries. Candidate without relevant experience may be considered for entry-level position.
• Knowledge of DCS, PLC and ESD systems is preferred.

• Responsible for corrective and preventive maintenance of plant machinery and monitoring of critical spare parts.
• Carry out corrective maintenance on plant machines.
• Support on preventive maintenance and machine repair.
• Attend to machines installation, modification, safety items, laboratory equipment, etc.
• Identify and carry out improvement items for machines.
• Liaise with machine agents for repair or maintenance of machines.

Requirements:

• Degree in Electrical/Electronic or Mechanical Engineering
• Prefer 2-3 year(s) of experience in maintenance/repair of machine in a manufacturing environment.
• Good trouble shooting, presentation and analytical skills.
• Good knowledge of PLC programming skills.
• Self-disciplined, independent and able to work under pressure.
• Able to communicate with all levels of staff.
• Able to commit to 12 hours shift work.

Manufacturing Industry

Loyang Area

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No : 06C3745

Audris Teo/ EA Personnel No: R1102063

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a established joint-venture dedicated to building a 300mm semiconductor wafer manufacturing facility in Singapore. We are seeking passionate, resilient, and dedicated professionals to help us launch a promising future that will power the next generation of devices and systems. If you share our commitment to excellence and want to make a lasting impact, join us and be part of something extraordinary!

Key Responsibilities

• Lead the conceptual design and RFP preparation for the Tool Hookup in a 300mm semiconductor fabrication plant.
• Supervise and track the design progress of Tool Hookup contractors and design consultants.
• Manage on-site construction schedules and oversee the commissioning of the Tool Hookup package.

Education Qualification & Essential Experiences

• Bachelor's degree in Electrical/Electronic Engineering or a related field.
• At least 6 years experience in Tool Hookup within 300mm semiconductor fab facility.
• Familiar with 3D CAD design, Tool Hookup Connection, platform installation and tool move in are preferable.
• Proficient in computer software such as Microsoft Office, Microsoft Project, AutoCAD, Autodesk Revit etc.
• A proactive attitude and strong teamwork skills, with experience in construction projects.

Key Skills and Attributes

• Strong interpersonal and communication skills, with the ability to collaborate effectively across functions and teams from diverse backgrounds.
• Excellent analytical and problem-solving abilities, focused on delivering positive outcomes.
• Goal-oriented and a team player, able to perform under pressure in a fast-paced, dynamic environment.
• A growth mindset, prioritizing adaptability, resilience, innovation, and continuous learning to meet business needs.

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701
Registration: R1326740

• Develop, implement and continuously enhance Waste Water Treatment Plant and Facilities Management policies, SOPs, and governance frameworks to ensure operational excellence and regulatory compliance

• Lead, mentor, and develop a team of technical specialists in the effective operation, maintenance, and optimization of all facility systems

• Oversee end-to-end facilities operations, ensuring high system reliability, minimal downtime, and optimal asset lifecycle management

• Manage external contractors and service providers, ensuring compliance with safety standards, quality workmanship, budget control, and timely project completion

• Drive Condition-Based Monitoring (CBM) initiatives and implement continuous improvement plans to enhance equipment performance and reduce operational risks

• Identify and implement energy and water efficiency initiatives, including sustainability programs, cost-saving strategies, and environmental impact reduction plans

• Develop and manage capital expenditure (CAPEX) plans, including feasibility studies, budgeting, project planning, risk management, and timely execution

• Ensure full compliance with statutory, regulatory, and workplace safety requirements

• Provide strategic input to senior management on facilities planning, risk mitigation, and long-term assets management strategies

• Perform other duties and special projects as assigned by management

Requirements:

• Degree in Engineering (Electrical/Mechanical/Chemical/Facilities or related discipline)

• Minimum 10 years of relevant facilities management experience, with proven leadership experience in a managerial capacity

• Certified Singapore Certified Energy Manager (SCEM) is mandatory

• Strong knowledge of building systems, utilities, energy management, and maintenance best practices

• Demonstrated leadership, stakeholder management, negotiation, and contractor management skills

• Strong analytical, problem-solving, and decision-making abilities

• Results-oriented with excellent communication and team collaboration skills
  

5 days work week
Electronics Manufacturing Co.
Loyang Area

Interested Applicants, kindly forward your resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Attention: Audris Teo / EA Personnel No: R1102063

ABOUT THE ROLE

You will own end-to-end delivery of trading systems — from design and backtest through to live deployment — working across our brokerage's full stack of algorithmic trading, risk management, and market infrastructure. Alongside experienced quants and treasury, you will operate on real capital in live markets across multiple asset classes.

This role suits a self-starter with 3–5 years of production experience who is comfortable taking full ownership of projects, making architectural decisions, and iterating quickly in a fast-moving trading environment.

WHAT YOU WILL BE DOING

• Design and implement live trading systems covering flow analysis, hedging algorithms, position management, and real-time risk controls

• Own the full development lifecycle of quantitative infrastructure: strategy research, backtesting, simulation, and production deployment

• Develop pricing models, hedging systems, and portfolio optimization algorithms grounded in mathematical finance

• Build and maintain real-time market data pipelines and trading API integrations across exchanges, brokers, and liquidity providers

• Create production monitoring and analytics dashboards to track trading performance, system health, and market conditions

• Apply ML and AI agent techniques — signal generation, anomaly detection, pattern recognition, autonomous strategy workflows — where they create measurable edge

• Drive reliability and scalability improvements across existing trading infrastructure

WHAT YOU NEED TO BE SUCCESSFUL

Core requirements:

• Bachelor's or Master's degree in Computer Science, Financial Engineering, Mathematics, Physics, Statistics, or a related quantitative field

• 3–5 years of professional experience owning quantitative systems in production — backtesting frameworks, execution algorithms, or risk management systems — at a brokerage, fintech, or trading firm

• Expert-level Python with deep command of numpy, pandas, scipy, asyncio and numba; proven track record of performance-tuning production-grade numerical code

• Solid grasp of financial markets: trading mechanics, order types, market microstructure, and exchange API integration (e.g. Binance, OKX, Bybit, or similar)

• Hands-on experience with real-time data streaming: WebSocket, message queues (Kafka or equivalent), and low-latency system design

• Strong mathematical foundation with ability to implement quantitative models and statistical methods from research papers

• Working knowledge of P&L calculation, position sizing, portfolio risk metrics, and core derivatives pricing concepts

• Comfortable with agentic coding workflows (e.g. Claude Code, Cursor, or similar) and experienced in reviewing, validating, and shipping AI-generated code into production — including testing, code review discipline, and knowing when not to trust the model

• Self-motivated with ability to take full ownership from design through production deployment with minimal direction

Bonus if you also have:

• Understanding of derivatives products (options, futures, perpetuals) and margin trading mechanics — margin requirements, liquidation risk, funding rates

• Familiarity with ML frameworks (scikit-learn, XGBoost, or similar) and their application to financial prediction problems; experience building or orchestrating AI agents in a production context is a strong plus

• Experience with brokerage operations, cryptocurrency trading systems, arbitrage strategies, or cross-exchange workflows

• Knowledge of market-making, liquidity provision, or systematic trading strategies in live environments

• Contributions to quantitative finance open-source projects or published research
  
  Take the next step - submit your application here:
  https://pluanghrms.darwinbox.com/ms/candidatev2/main/careers/jobDetails/a69df2139b5e67?from=all

WHAT SUCCESS LOOKS LIKE

In your first 90 days, you will own at least one live system improvement deployed to production — whether a latency reduction, a new hedging signal, an improved risk control, or a data pipeline upgrade. Within six months, you will be the primary technical owner of one or more core trading systems, with full visibility into their performance and a roadmap for future development.

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900