Total 3,302 Senior Executive technical support engineer job vacancies in Australia

Key Responsibilities

Quotation Preparation

• Prepare and generate quotations based on approved pricing structures and standardized templates
• Ensure all quotation details are accurate, complete, and compliant with internal guidelines
• Maintain proper records of quotations and related documentation for audit and reference purposes

Pricing Review Support

• Assist in reviewing pricing data and validating calculations
• Support updates and maintenance of pricing tables and related documentation
• Identify discrepancies or inconsistencies in pricing data and escalate issues as needed

Administrative Support

• Maintain organized filing and documentation of quotations and pricing records
• Coordinate with internal teams to obtain necessary information for quotation preparation
• Track quotation requests and ensure adherence to turnaround timelines

Excel & Data Management

• Utilize Microsoft Excel to compile, analyze, and maintain pricing and quotation data
• Perform data validation, formatting, and basic reporting using Excel tools
• Maintain structured and well-organized spreadsheets for tracking and reporting

Requirements:

• Diploma or Bachelor’s degree in Business Administration, Finance, Accounting, or a related field.
• At least 1-2 years of experience in administrative, operations, or pricing support roles.
• Experience with quotation systems or pricing databases is good to have.
• Must have proficiency in Microsoft Excel (formulas, data organization, and basic analysis)
• High attention to detail with accuracy in data handling
• Excellent organizational and administrative skills
• Ability to work independently and manage deadlines effectively
• Familiarity with insurance, financial services, or corporate environments is good to have

Position Summary

We are seekinga highly experienced Senior QA/QC Engineer to support a major Plant Turnaround / Shutdown project. This is a senior technical role requiringextensive experience in quality assurance, quality control, welding inspection,mechanical integrity, and turnaround execution within operating process plants.

The successfulcandidate must be capable of independently managing QA/QC activities, reviewinginspection and test plans, overseeing contractors, and performing weldinginspection duties where required.

IdealCandidate Profile

This positionis intended for a seasoned QA/QC professional who can serve as the project'ssenior quality focal point and perform welding inspection duties when required.Candidates without significant turnaround experience, recognised weldinginspection certification, or the minimum years of experience will not beconsidered.

KeyResponsibilities

• Lead QA/QC activities during plant turnaround and shutdown execution.
• Ensure compliance with project specifications, client requirements, international codes, and industry standards.
• Review and approve Inspection & Test Plans (ITPs), quality procedures, method statements, and inspection records.
• Conduct surveillance and audits of contractors and subcontractors.
• Perform or witness inspections for welding, piping, static equipment, pressure vessels, tanks, structural steel, and mechanical works.
• Verify welding qualifications, WPS, PQR, welder qualifications, and NDT requirements.
• Coordinate with Operations, Maintenance, Inspection, Construction, and Client QA/QC teams.
• Monitor turnaround quality performance and identify areas requiring corrective action.
• Review NDT reports, material certificates, test records, punch lists, and turnover dossiers.
• Participate in root cause investigations and quality-related non-conformance resolution.
• Ensure all quality documentation is completed and handed over in accordance with project requirements.

MandatoryRequirements

• Minimum 20 years of QA/QC experience in onshore refinery, petrochemical, chemical, LNG, power generation, or process plant facilities.
• Minimum 10 years of experience supporting Plant Turnaround / Shutdown projects.
• Demonstrated experience in both Quality Assurance and Quality Control functions.
• Certified Welding Inspector qualification such as:
• CSWIP 3.1 or higher
• AWS Certified Welding Inspector (CWI)
• BGAS Welding Inspector
• Equivalent internationally recognised certification
• Extensive knowledge of:
• ASME Codes
• API Standards
• ASTM Standards
• ISO Quality Systems
• Welding Inspection Requirements
• NDT Methods and Acceptance Criteria
• Experience inspecting:
• Pressure Vessels
• Heat Exchangers
• Columns and Towers
• Storage Tanks
• Piping Systems
• Structural Steel
• Rotating Equipment
• Strong understanding of welding processes, PWHT, material traceability, flange management, hydrotesting, and mechanical completion systems.
• Ability to read and interpret engineering drawings, isometrics, welding drawings, fabrication records, and quality dossiers.

Preferred Qualifications

• Degree or Diploma in Mechanical Engineering, Metallurgy, Materials Engineering, or related discipline.
• Lead Auditor certification (ISO 9001) preferred.
• Additional NDT certifications (PT, MT, UT, RT) advantageous.
• Previous experience working directly for refinery, petrochemical, LNG, or major operating companies.

Job Responsibilities:

• Plan, execute, monitor, and control all technical aspects of projects.
• Lead or contribute to new system/network infrastructure setups or upgrades.
• Support operational systems in line with contractual Service Level Agreements (SLAs).
• Conduct routine preventive maintenance and manage operational activities efficiently.
• Prepare comprehensive project documentation and reports.
• Troubleshoot and resolve technical issues promptly.

Requirements:

• Strong knowledge of Windows Server OS and Linux OS; experience in virtualized environments is a plus.
• Hands-on experience with virtualization, hypervisors, and the Nutanix platform is an advantage.
• Understanding of VPNs and firewall appliances is beneficial.
• Familiarity with network switches and routers is preferred.
• Excellent written and verbal communication skills to articulate technical concepts to both technical and non-technical stakeholders.
• Proactive, dynamic, and analytical with strong conceptual thinking abilities.
• Able to work independently and collaboratively, with strong interpersonal skills.

Work Location: North / Central

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

Only shortlisted candidates will be notified.

Job Description

· Knowledge in ISO 9001/14000 and TS 16949 QMS will be an added advantage

· 5 days work week (Monday to Friday)

· good Pay + AWS + variable Bonus + Good Benefit

Responsibility:

· Responsible for daily production line audit, managing the document control process for Quality Management Systems in compliance with ISO 9001/14000 and TS 16949 quality standards.

· Liaise with internal and other departments, customer and supplier for all quality related issues.

· Drive quality improvement activities for achieving quality goal and to meet customer’s requirements.

Requirements:

· Degree/Diploma in any Engineering discipline with

• Good Pay + Good allowance + Good Bonus
• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)
• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

The Managed Services Cross Technology Engineer (L2/L3) –Network / Security is a developing or seasoned engineering role,responsible for providing a managed service to clients to ensure that their ITinfrastructure and systems remain operational.

Through the proactive monitoring, identifying,investigating, and resolving of technical incidents and problems, the ManagedServices Cross Technology Engineer (L2/L3) is able to restore service toclients.

The primary objective of this role is to proactively work onautomation aspects of work focusing on Network / Security relating to theoperations. Also to work on client requests or tickets and applytechnical/process knowledge to resolve them without breaching service levelagreement (SLA).

The Managed Services Cross Technology Engineer (L2/L3)focuses on second-line support for incidents and requests with a medium levelof complexity and focusses across two or more technology domains - Cloud,Security, Networking, Applications and / or Collaboration etc.

This role may also contribute to / support on project workas and when required.

Key Responsibilities:

·       Network - Automate the provisioning, configuration, and testing of network infrastructure(routers, switches, firewalls, load balancers).

·       Develop and maintain CI/CD pipelines specifically for networkcode and configurations.

·       Utilize Infrastructure as Code (IaC) tools like Terraform orAnsible for network deployment.

·       Implement network monitoring and logging solutions to ensure highavailability and performance.

·       Maintain Git repositories for all network configurations andautomation scripts.

·       Collaborate with traditional Network and Software Engineering teams todesign scalable and reliable networks.

·       Focus on continuous improvement, pushing for a code-centric approachto network operations.

·       Security – Automate - Embed security testing and compliance checks earlyinto the CI/CD pipeline (Shift Left).

·       Implement automated security tools for SAST, DAST, SCA, andinfrastructure vulnerability scanning.

·       Manage and maintain security tools like WAFs, IDS/IPS, and CloudSecurity Posture Management (CSPM).

·       Develop and enforce security policies using Policy as Code (PaC).

·       Automate incident response and security monitoring throughlogging and alerting systems.

·       Conduct regular threat modeling and security reviews for newfeatures and infrastructure changes.

·       Educate and collaborate with Development and Operations teams on securecoding practices and security awareness.

·        

• Proactively monitors the work queues.
• Performs operational tasks to resolve all incidents/requests in a timely manner and within the agreed SLA.
• Updates tickets with resolution tasks performed.
• Identifies, investigates, analyses issues and errors prior to or when they occur, and logs all such incidents in a timely manner.
• Captures all required and relevant information for immediate resolution.
• Provides second level support to all incidents, requests and identifies the root cause of incidents and problems.
• Communicates with other teams and clients for extending support.
• Executes changes with clear identification of risks and mitigation plans to be captured into the change record.
• Follows the shift handover process highlighting any key tickets to be focussed on along with a handover of upcoming critical tasks to be carried out in the next shift.
• Escalates all tickets to seek the right focus from CoE and other teams, if needed continue the escalations to management.
• Works with automation teams for effort optimization and automating routine tasks.
• Ability to work across various other resolver group (internal and external) like Service Provider, TAC, etc.
• Identifies problems and errors before they impact a client’s service.
• Provides Assistance to L1 Engineers for better initial triage or troubleshooting.
• Leads and manages all initial client escalation for operational issues.
• Contributes to the change management process by logging all change requests with complete details for standard and non-standard including patching and any other changes to Configuration Items.
• Ensures all changes are carried out with proper change approvals.
• Plans and executes approved maintenance activities.
• Audits and analyses incident and request tickets for quality and recommends improvements with updates to knowledge articles.
• Produces trend analysis reports for identifying tasks for automation, leading to a reduction in tickets and optimization of effort.
• May also contribute to / support on project work as and when required.
• May work on implementing and delivering disaster recovery functions and tests.
• Performs any other related task as required.

Knowledge and Attributes:

• Ability to communicate and work across different cultures and social groups.
• Ability to plan activities and projects well in advance, and takes into account possible changing circumstances.
• Ability to maintain a positive outlook at work.
• Ability to work well in a pressurized environment.
• Ability to work hard and put in longer hours when it is necessary.
• Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information, and refraining from interrupting.
• Ability to adapt to changing circumstances.
• Ability to place clients at the forefront of all interactions, understanding their requirements, and creating a positive client experience throughout the total client journey.

Academic Qualifications and Certifications and Tools:

• Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience).
• Certifications relevant to the services provided (certifications carry additional weightage on a candidate’s qualification for the role).
• Relevant certifications include (but not limited to) -
• CCNP or equivalent certification
• CCNA certification in must, CCNP in Security or PCNSE certification is good to have

·       Fortinet

·       RSA

·       Tenable

·       Trend Micro

·       F5

about the company

My client is a specialized manufacturer in the contract manufacturing space. They are a Singapore based company and with their innovative technology, this is a great brand to join at an exciting time in their development.

about the job

• Plan, coordinate and oversee all Quality Assurance activities in the Company
• Oversee the Documentation Control function for Quality Management System
• Act as the Quality Management Representative for the Company
• Develop and implement plans to collect quality data at in-process, final inspection, test and inspection stations
• Plan and execute annual Internal Audit to ensure all quality systems and procedures are effectively implemented and auditable at all times
• Develop and implement system for receipt and processing of complaints and recall of products
• Participate in all new Projects, including giving inputs from quality perspectives, performing PFMEA etc

job requirement

• Degree in Engineering or equivalent
• Manufacturing background from plastics injection medtech manufacturing environment
• Must possess ISO13485 certification

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As an Embodied AI Research Engineer, you'll develop the learningsystems that enable robots to understand, reason, and act in the physicalworld. You'll work at the intersection of Vision-Language-Action models,reinforcement learning, and real-world robotics, building end-to-endintelligence that translates perception into robust robot behavior. From modeldesign and training to deployment on physical robots, your work will directlyshape the capabilities of next-generation embodied AI systems operating in realenvironments.

What you'll work on

1.                         Develop and deploy intelligent algorithms for real-world roboticsystems, with a focus on Vision-Language-Action (VLA) models and reinforcementlearning (RL);

2.                          Design and implementend-to-end learning systems from perception to decision-making and control,improving generalization and task success rates in complex real-worldenvironments;

3.                          Lead or contribute to thetraining, evaluation, and deployment of VLA models in robotic applications,including data pipeline design, model architecture, and inference optimization;

4.                          Develop policy learningalgorithms using reinforcement learning (RL), imitation learning (IL), orrelated methods, ensuring stable execution on real robotic platforms;

5.                          Drive Sim-to-Real transfer,addressing challenges such as domain gaps, policy stability, and safety inreal-world deployment;

6.                          Collaborate closely withperception, simulation, and system engineering teams to close the loop betweendata, models, and system performance;

7.                          Build reproducible trainingand evaluation pipelines, and continuously improve robustness, stability, andefficiency in real-world deployments;

8.                          Stay up to date withstate-of-the-art research (e.g., VLA, Embodied AI, Foundation Models) andtranslate advances into practical robotic applications.

Technical Requirements

Must Have

1.                         PhD in Computer Science, Robotics, Artificial Intelligence, or arelated field;

2.                          Strong foundation in machinelearning and deep learning, with deep expertise in reinforcement learning (RL),imitation learning (IL), or related areas;

3.                          Experience inVision-Language-Action (VLA) or Embodied AI research or engineering;

4.                          Proficiency in at least onemajor deep learning framework (e.g., PyTorch or TensorFlow), with strongimplementation skills;

5.                          Familiarity with key roboticslearning challenges, such as policy learning, generalization, and Sim-to-Realtransfer;

6.                          Experience deployingalgorithms on real robotic systems, or a strong interest in bridging researchand production;

7.                          Strong problem decompositionskills and system-level thinking, with the ability to drive algorithmdeployment in complex systems;

8.                          Strong communication andcross-functional collaboration skills.

Nice to Have

1.                         Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR,CVPR, CoRL, RSS);

2.                          Hands-on experience deployingalgorithms on real robotic platforms (e.g., manipulation or navigation);

3.                          Experience training oroptimizing large-scale models (e.g., foundation models or VLA models);

4.                          Experience deployingreinforcement learning in real-world systems (beyond simulation-only work);

5.                          Experience with large-scaledata pipelines, dataset construction, or automated labeling;

6.                          Experience with multimodallearning systems (vision-language-action);

Your Impact

1.                         You'll help define and deploy the intelligence stack behindnext-generation embodied robots, enabling them to perceive, reason, and act incomplex real-world environments.

2.                         Your work will bridge cutting-edge AI research and real-world roboticdeployment, transforming state-of-the-art models into reliable roboticcapabilities.

3.                         You'll advance the practical application of Vision-Language-Actionmodels, reinforcement learning, and foundation models in real robotic systems.

4.                         You'll play a key role in building scalable learning systems thatimprove robot generalization, adaptability, and autonomy across a wide range oftasks and environments.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.

Responsibilities

• Ensures all construction activities are completed prior to taking up the system for commissioning.
• Prepares and plans the deployment of workers to fulfill the commissioning schedule.
• Ensures the preparation of procedures and guidelines for systematic commissioning and start-up of equipment.
• Initiate and manage the commissioning by Coordinating between the company and OEM.
• Highlight operational issues with regards to machinery and equipment.
• Ensure that OEM meets the Contractual agreement accordingly.
• Audit work site regularly and ensure that proper housekeeping is adhered to.
• Supervise onsite commissioning activities
• Coordinate work with other Trades
• Prepare and maintain commission records of site observations, testing processes and checklist.
• Track and review progress through HAT meetings.
• Attend progress meeting to keep up status and close issues with customers.
• Ensures that all safety and precautionary requirements and procedures are followed during the commissioning process.
• Compile and update commissioning report/ records.
• Assist with Identification and set right commissioning and malfunction issues.
• Access the requirements of special tools and equipment required for commissioning and initiate procurement if required.
• Review the tools and equipment used for Safety and Efficiency.
• Develop and update RA accordingly and enforce on-site and conducted weekly safety briefing with supervisors and workers.

Requirements

• Degree or Diploma in Naval Architecture/Structural/Marine/Electrical/Electronic Engineering or other electrical/offshore/electronic related studies.
• Naval Institute Trained
• Shipboard or Preferably 3 years or more of working experiences in similar capacity.
• No experience can be considered for junior role.
• Knowledge of Class requirements & Quality Standard requirements
• Trade Dependent.
• Must be able to understand Marine/Electrical & Automation Systems Equipment related schematic & arrangement drawings
• Knowledge and skills in Marine/Electrical & Automation systems equipment's operational requirements.
• Adequate Computing Knowledge as well as use of Microsoft Office and e-mail.

Other Information

• Location: Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am-5pm 

Job Description:

• Responsible for cutting edge technology node’s SRAM compiler design and deliver best quality of design kit.
• Seamlessly collaborate with SRAM design and layout team to achieve highest quality of design kit delivery.
• Responsible for data analysis and platform development of memory usage big data.
• Responsible for physical verification (DRC/ERC/LVS/ANT/PERC) on SRAM compiler.
• Responsible for spice simulation on timing, power and noise on SRAM compiler.
• Responsible for QA check and development on SRAM compiler.

Job Requirements:

• Bachelor or Master Degree in Electrical and Electronic Engineering or Computer Engineering or Computer Science.
• Multi-task capability and strong self-driven characteristics to meet challenging schedule.
• Proficient  with  Perl,  Shell,  Python,  C/C++  languages,  knowledge  with  AI  machine  learning algorithm and infrastructure is an added advantage.
• Strong interpersonal skills to work with team members with multi-cultural environment
• Knowledge of high performance, low power SRAM/ROM and VLSI design is an added advantage. Experience with EDA tools will be helpful.
• Candidate with experience is preferable.

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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

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
  
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
  
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 5 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., GCP).
  
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin fluently in order to communicate in this customer-facing role.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  
• Experience leading technical discovery sessions.
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.