Total 1,072 process engineer job vacancies in Others category in Australia

• Install and/or relocate equipment at customers’ sites. Conduct associated start-up, cut over and check-out activities on the newly installed systems
• Provide warranty tool support or paid service for out-of-warranty tool by performing on-site general preventive maintenance of equipment and attending to equipment abnormalities. Co-ordinate all service actions with customer to minimize downtime or system interruptions
• Apply troubleshooting techniques to eliminate equipment malfunctions. Conduct diagnostic procedures to isolate problem. Assess severity of malfunctions and determine corrective actions required or escalate for assistance and prompt resolution. When necessary, replace defective units, components or parts where appropriate
• Liaise and co-ordinate with customers in relation to short-term defect work
• Implement field modifications or updates as released in Engineering Change Orders (ECOs) which may involve removal and installation of assemblies, sub-assemblies, systems and subsystems
• Carry out Tier 2 process qualification work
• Prepare and maintain accurate logs, service records, part usage documentation, diagnostic updates and other management reports
• Professionally represent the company to the customer. Utilize knowledge of company’s product lines and services to keep existing / potential customers informed when new/additional needs are identified
• Develop good customer relations during installation and execution of service contracts
• Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
• Ensure safe working condition at work site
• Any other duties as assigned by the Immediate Supervisor

Responsibilities:

• Design, develop, and maintain automated test frameworks and scripts using tools such as Selenium, Watermelon, Python, or similar automation technologies.
• Ensure automation frameworks are scalable, maintainable, and aligned with testing best practices.
• Implement automated test execution integrated with CI/CD pipelines.
• Work with deployment tools such as Ansible to enable seamless automated testing as part of the delivery workflow.
• Develop and execute automated regression test suites to ensure application stability and system resilience.
• Continuously update regression scenarios to reflect evolving system functionality.
• Collaborate closely with Test Engineers to identify functional and regression test cases suitable for automation.
• Provide recommendations on automation feasibility and prioritization.

Requirement:

• Bachelors in Computer Science, Information Technology, Engineering, or a related field.
• Hands-on experience with automation tools such as Selenium, Python, Watermelon, or equivalent frameworks.
• Experience integrating automated testing into CI/CD pipelines.
• Working knowledge of deployment or configuration tools such as Ansible.
• Excellent understanding of automated regression testing methodology and best practices.
• Good analytical, problem-solving, and debugging skills.

The Digital Supply Chain Group of the Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.      Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.      Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.      Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.      Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.      Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.      Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.      Evaluate the performance and scalability of developed solutions through testing and optimization.

b.      Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.      Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.      Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

·       Bachelor’s or Master’s degree in Engineering, Computer Science, Operations Research, or related fields.
·       More than 5 years of experience

·       Strong foundation in mathematical modeling, algorithm design, and scientific computing.

·       Expertise in simulations (discrete-event, agent-based) and optimization techniques.

·       Proficiency in programming languages such as Python, C, C++, or MATLAB.

·       Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).

·       Experience in data structures, algorithm development, and software development best practices.

·       Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.

·       Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.

·       Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

This role is for a QA Engineer (QA).

KEY FEATURES OF THE POSITION

Functional / Technical

•Test planning and strategy: Develop test plans, strategies, and cases based on business and non-functional requirements.

•Possess hands-on expertise in testing from T24 to TAP

•Analysis and reporting: Analyse test results, identify root causes of issues, and generate detailed reports for stakeholders

•Troubleshooting and defect resolution: Troubleshoot bottlenecks and collaborate with development teams to implement fixes

•Environment and tool setup: Configure the test environment, manage test data, and use testing tools and software

SKILLS REQUIREMENTS OF THE POSITION

•Expertise in Functional Testing

•Hands on experience in testing T24 securities (SC), Derivatives (DX) and Structured Products (SY) module.

•Hands on experience in testing B2F (T24 to TAP) flows in these modules.

•Knowledge of TAP business functions and testing, and T24/TAP recon would be an advantage.

•Basic knowledge of asset classes (Equities, Bonds, Funds, Share Options, OTC options) would be a plus.

•Prepare test scenarios and test cases for gaps identified for various B2F flows. Ensure test cases coverage is end to end.

•Provide walkthrough of test artefacts to onsite counterparts for their review and sign-off.

Personal and Social

•Good communication skills

•Good work ethnics and punctuality

•Good problem-solving abilities

•Good team player

•Good service attitude

•Systematic and meticulous

•Ability to work both independently as well as in team

Job Description

We are seeking a skilled Cloud Infrastructure Engineer to support and deliver system and network infrastructure projects. This role involves designing solutions, managing technical implementation, and ensuring smooth project execution while maintaining high system performance and reliability.

Responsibilities

• Plan, execute, monitor, and manage technical aspects of infrastructure projects
• Support new system implementations and upgrades of network and infrastructure environments
• Design and deliver end-to-end infrastructure solutions based on business requirements
• Lead and guide junior engineers, supporting their development and project delivery
• Prepare project documentation, reports, and technical specifications
• Troubleshoot and resolve system and infrastructure-related issues
• Ensure systems are stable, secure, and optimised for performance

Requirements

• Experience with Windows Server and Unix/Linux environments, including virtualised systems
• Strong hands-on experience with virtualisation and hypervisors (Nutanix preferred)
• Relevant certifications such as NCP/NCM are an advantage
• Good knowledge of VPNs, firewalls, and security appliances
• Strong understanding of network infrastructure including switches and routers
• Familiarity with container technologies and platforms
• Good understanding of end-to-end IT infrastructure systems
• Strong communication skills to engage both technical and non-technical stakeholders
• Proactive, analytical, and able to solve problems effectively
• Able to work independently and collaboratively in a team environment

(EA Reg No: 20C0312)
Please email a copy of your detailed resume to chally@talentsis.com.sg
for immediate processing.
Only shortlisted candidates will be notified.

The Digital Supply Chain Group of the  Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.   Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.   Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.   Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.   Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.   Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.   Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.   Evaluate the performance and scalability of developed solutions through testing and optimization.

b.   Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.   Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.   Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

• Bachelor or Master degree in engineering, Computer Science, Operations Research, or related fields.
• More than 5 years of experience
• Strong foundation in mathematical modelling, algorithm design, and scientific computing.
• Expertise in simulations (discrete-event, agent-based) and optimization techniques.
• Proficiency in programming languages such as Python, C, C++, or MATLAB.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).
• Experience in data structures, algorithm development, and software development best practices.
• Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.
• Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.
• Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Partner with project managers, clients, and the development team to understand user needs, business goals, and technical requirements.

• Create user flows, wireframes, interactive prototypes, and high-fidelity designs for websites, mobile applications, and marketing materials.

• Present and articulate design concepts and solutions to internal teams, stakeholders, and management.

• Identify gaps in user insights, motivations, and pain points to strengthen design strategies.

• Propose and conduct user research initiatives, including usability testing, interviews, and surveys, and translate findings into actionable design recommendations.

• Collaborate with cross-functional teams, including product owners, to ensure solutions are feasible, scalable, and aligned with both user and business needs.

• Ensure all design outputs are visually compelling, intuitive, and consistent with established brand guidelines and design systems.

• Work closely with front-end developers to ensure accurate and high-quality implementation of designs.

• Contribute to front-end development efforts (training will be provided).

Requirements:

• A strong portfolio demonstrating visual design expertise, user-centered design thinking, research capabilities, and analytical skills.

• Proficiency in design tools such as Figma or equivalent platforms.

• Experience gathering requirements through workshops, stakeholder interviews, and research activities.

• Solid understanding of user research methodologies and hands-on experience conducting usability testing.

• Ability to communicate ideas effectively through storytelling, storyboards, mood boards, flowcharts, and presentation decks.

• Strong verbal, written, and visual communication skills with the ability to collaborate across teams.

• Exceptional attention to detail with a commitment to pixel-perfect execution and design system consistency.

• Ability to thrive in a fast-paced environment and manage multiple projects concurrently.

• Strong business acumen with the ability to align design decisions with broader organizational goals.

• Familiarity with Agile and Scrum methodologies is an advantage.

• Experience in project management is a plus.

• Experience in front-end development is a plus.
  

  Work Location: North / Central
  

  (EA Reg No: 20C0312)

  Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

  Only shortlisted candidates will be notified.