Total 2,908 Senior Executive quality control engineer job vacancies in Australia

• Well Established Company
• Excellent Welfare and Benefits + Career progression
• Basic $ 4500 to $ 6000 + AWS + VB
• Working location: North-East
• Working Hours: Monday to Friday (8:30am to 5:30pm)
• Must have C / C++

Job Responsibilities:

• Responsible for software prototyping, requirement analysis, design, development, test, system integration and site integration for developed applications
• Design, configuration, test, integration and maintenance of Automation & SCADA Systems and applications
• Provide technical, deployment and commissioning support to Project Teams and Customers
• Maintain and enhance software applications in both functionality
• Provide software support via on-site troubleshooting, testing and tuning of applications, software, network, protocols and communication issues

Requirements:

• Diploma/Degree in Electronics Engineering or Computer Science
• Experienced with two or more languages such as C/C++, C#, Python
• Experienced in at least one scripting language sch as Python, bash, ksh, bat, ps
• Experience in real tome/embedded system
• At least 2-3 years experience in C/C++ and at least 1 full SDLC
• Knowledge/Experience with SCADA protocols, RDBMS, REST, MQTT are desired

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.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description

• Lead cross-functional teams across Design, Systems, Validation, Product/Test Engineering, Firmware, Supply Chain, Procurement, and Quality to ensure seamless program execution in NPI projects.
• Lead COGS reduction programs from impact assessment through qualification, PCN, safelaunch, and production ramp – quantifying savings, evaluating ROI, and assessing the business impact of schedule slips and risk scenarios.
• Drive capacity expansion initiatives across global manufacturing sites, aligning engineering, operations, and supply chain to support production scalability.
• Build and manage detailed schedules for NPI, COGS and capacity programs; track progress, remove roadblocks, and implement data‑driven mitigation plans.
• Manage Engineering Build Request prioritization, conducting bi‑weekly reviews with PMO and Business Operations leadership to ensure alignment with organizational priorities.
• Act as a liaison between the product group, operations/supply chain teams, and key OSAT interface teams to ensure alignment, clarity, and seamless execution across all stages of the program.
• Drive sample readiness and ramp readiness, ensuring cross‑functional teams maintain schedules that support committed customer delivery timelines.
• Coordinate and conduct Project Gate reviews, ensuring cross‑functional readiness, milestone alignment, and clear communication of risks and dependencies.
• Oversee wafer fab, assembly, and test operations to ensure timeline adherence, cost efficiency, and quality standards across programs.
• Provide structured leadership updates on program status, risks, and mitigation plans, maintaining accurate schedules and qualification documentation.

Job Summary

• We are seeking a highly skilled Senior Failure Analysis Engineer to join our team and drive advanced failure investigation in cutting-edge technologies, including AI-related products. Be part of a high-impact engineering team solving real-world reliability challenges

Key Responsibilities:

• Perform failure analysis at both physical package and die levels, identifying root causes and recommending corrective actions.
• Lead electrical fault isolation using advanced techniques & tools.
• Develop and execute bench-level test applications to validate hypotheses and reproduce failure mechanisms.
• Interpret CAD layouts, schematics, and design documentation to support failure root cause determination.
• Collaborate cross-functionally with design, process, product, and reliability teams to resolve complex technical issues.
• Support analysis for advanced technologies and AI-related products.

1. Planning of assembly processes flow considering manufacturing efficiency. Collaborate
with project team to seek and strive for minimizing product cost through design and
process optimization.
2. Support in the RFQ calculation; calculate and provide investment needed for standard
assembly process modules.
3. Define equipment specification in accordance to product specification. Plan, purchase
(with supervision), setup and release manufacturing cells on time, at budget and with
desired requirement.
4. Involve in each project stages to evaluate equipment and process performance.
Formulate technical and/or performance reports by collecting, analyzing and
summarizing information and trends.
5. Identify and establish process specifications, maintenance strategies and other
manufacturing documents required for line release activity.
6. Conduct problem solving methodology in assembly processes and equipment. In
meantime also developing troubleshooting guide and training of technical know-how to
technician.
7. Actively participate in system CIP on value disposition as in S-Q-C-D (Safety, Quality,
Cost & Delivery).
8. Provide effective countermeasure in technical flaw encompassed with corrective and
preventive action plan.
9. Study, evaluate and improve the technical capacity and capability in assembly
processes accorded to customer’s demand.
10. Continuously strive for higher and sustainable OEE, FPY, MTTR, MTBF.
11. Emphasize the intensity of team work culture in VSO (Value Stream Organization)
moving towards operational excellence.
12. Any other duties assigned by immediate superior from time to time.

Key Responsibilities

• Develop and maintain scalable web applications and backend services using Java and JavaScript-based technologies.
• Build RESTful APIs and microservices using Spring Boot and Node.js.
• Design responsive user interfaces using React.js and TypeScript.
• Work with SQL and NoSQL databases such as PostgreSQL, MongoDB, and ElasticSearch.
• Collaborate in an Agile development environment with cross-functional teams including DevOps, QA, and Product.
• Implement CI/CD pipelines and participate in DevOps practices using Docker and related tools.
• Ensure software quality through unit testing, code reviews, and automated testing.
• Troubleshoot issues and optimize application performance.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Java and JavaScript, with experience in Spring Boot, Node.js, and React.js.
• Proficient in TypeScript, MongoDB, and SQL/NoSQL databases.
• Familiarity with Docker, ElasticSearch, and DevOps concepts.
• Experience working in an Agile/Scrum environment.
• Good understanding of system design, APIs, and microservices architecture.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD tools and infrastructure as code.
• Knowledge of security best practices and performance tuning.

Location: 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.

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.

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

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

As a Senior Software Engineer for the Singapore Cloud and Third Party Security team, you will be a key technical driver for our growing software engineering team. You will leverage your software development expertise to own the design and delivery of scalable, high-quality systems and products that identify and remediate security risks across Alphabet's public cloud and third-party footprint. You will work with a high degree of autonomy, collaborate closely with cross-functional stakeholders, and mentor junior engineers to help build a strong engineering culture at our Singapore site.

Qualifications

Job responsibilities

• Design, implement, and deploy critical software components and products autonomously to identify, measure, and remediate security gaps in Alphabet's public cloud and third-party vendor usage.
• Own and drive engineering milestones for specific projects within the Cloud and Third Party Security domain, ensuring high code quality, scalability, and security.
• Partner cross-functionally with Security Engineers, Technical Solutions Consultants, and partner teams to define requirements, design systems, and implement scalable security controls.
• Mentor junior software engineers in the team, fostering a culture of technical excellence, high code quality, and continuous learning.
• Identify technical debt and implement refactoring efforts to improve the overall maintainability, reliability, and complexity of engineering efforts within the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience building software for data privacy or security (e.g., identity and access management).
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Strong proficiency in Go or Python, with a proven track record of designing and evolving distributed systems that handle global-scale data with high availability and security.
• Track record of technical leadership, including mentoring junior engineers and driving technical alignment for small-to-medium sized projects.
• Strong background in relevant security domains, particularly in cloud infrastructure and third party security controls.
• Ability to navigate ambiguity and translate complex product/security requirements into robust technical designs.

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.

Job Description

• Industry/ Organization Type: Manufacturer for Semi-Con Industry
• Position Title: Sales Application Engineer / Executive – Metal Cutting Tools
• Working Location: Seletar (Islandwide)
• Working Hours: 5 days (Mon-Fri: 8am-5.30pm)
• Salary Package: Basic + VB
• Duration: Permanent

Key Responsibilities

• Understand customer needs and recommend suitable products based on their applications
• Provide technical advice on metal cutting tools such as inserts, end mills, drills, and taps
• Build and maintain strong relationships with customers, including manufacturers and suppliers
• Keep updated on product features, specifications, and applications
• Analyse customer requirements and suggest suitable cutting tool solutions
• Prepare technical proposals and quotations

APPLY NOW!!!

• Minimum Higher Nitec or Diploma in Mechanical Engineering, Manufacturing Engineering, CNC Machining, or related field
• At least 2–3 years of experience in technical sales or engineering, preferably in manufacturing or related industries
• Good understanding of metal cutting tools and their applications
• Knowledge of tool materials and coatings is an advantage
• Strong communication skills with the ability to explain technical concepts clearly
• Good problem-solving skills and ability to provide effective solutions

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 #84231 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

Purpose of Role:

As the Team Lead for Support functions to Ship Repairs projects, this person is responsible for planning, managing and deployment of manpower and relevant resources to provide support for the following functions: Painting, Cleaning, Scaffolding, Security Escort of contractors.

Responsibilities:

Scaffolding Provision

• Ensure scaffolding structures meet safety standards and are built to accommodate operational needs.
• Coordinate with other departments on timely erection and dismantling of scaffolding.

Cleaning/Painting Provision

• Understanding various methods of surface preparation, coating material and industrial standards and regulations to painting works. 
• Coordination of all painting/cleaning activities effectively and safely.

Safety & Compliance

• Ensure compliance with all relevant safety regulations, maritime laws, and company policies.
• Promote a culture of safety.
• Provide training and guidance on safety practices for all department personnel

Security

• Provide manpower to escort external contractors from point to point within client’s compound
• Ensure contractors’ compliance on security protocols within compound

Team Leadership & Management

• Lead, manage, and mentor the production team, ensuring effective communication and cooperation across various functions.
• Set performance targets, conduct performance reviews, and provide professional development opportunities for team members.
• Manage departmental schedules, ensuring optimal staffing and resource allocation.

Resource Management

• Oversee the allocation of resources (personnel, equipment, materials) for all production tasks.
• Monitor inventory levels and ensure the timely procurement of materials required for ongoing operations.
• Control department budgets, ensuring cost-effective operations without compromising quality or safety

Collaboration & Reporting

• Work closely with other department heads, Ship repair managers, and customers to ensure smooth operations and project coordination.
• Provide regular progress reports, identifying challenges and proposing solutions to senior management

Requirements:

• Degree/ Diploma in Mechanical or Marine Engineering (Dip holders with 5 years relevant working experience)
• Knowledge of painting, staging operation and able to interpret technical drawings and paint specification will be advantageous
• Demonstrated ability to lead engineering projects and manage complex technical issues
• Able to deal with and communicate with both internal and external stakeholders effectively at all levels.
• Possess man-management experience to supervise and deploy workers.
• Proficiency in MS Office
• Able to commit to overtime when required
• Able to follow and implement security, safety and shipyard disciplinary protocols and guidelines

Other Information:

• Location: Pioneer Sector (Daily Transportation Reimbursed To and Fro)
• 5 days work week
• Working Hours: 7.45am-5pm

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.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Micron Singapore Ultra Pure Water & Waste Water Treatment Engineer, you are responsible for the planning, design, construction, and commissioning of UPW and wastewater treatment systems for semiconductor manufacturing facilities. This role ensures the delivery of high-quality water systems while meeting stringent environmental, safety, and operational standards. The Engineer will work with multidisciplinary teams, coordinate with stakeholders, and oversee the implementation of these critical systems.

Key Responsibilities:
Design & Engineering Oversight:

- Lead the design and engineering of UPW and wastewater systems, ensuring compliance with semiconductor manufacturing requirements and industry standards.
- Review and approve technical specifications, layouts, and drawings for system components, including filtration, deionization, and wastewater treatment units.
- Collaborate with other engineering disciplines to ensure seamless integration of UPW and wastewater systems with the facility’s overall infrastructure.
- Evaluate emerging technologies and propose innovative solutions to improve system performance and sustainability.

Construction & Installation Management:

- Oversee the installation and construction of UPW and wastewater systems, ensuring adherence to design specifications, quality standards, and project timelines.
- Coordinate with contractors and vendors to ensure timely delivery and proper installation of system components.
- Conduct regular site inspections to monitor progress, identify challenges, and implement corrective actions.
- Manage commissioning and startup activities, ensuring systems are fully operational and meet performance requirements.

System Performance & Optimization:

- Establish performance metrics for UPW and wastewater systems and monitor their operation during and after commissioning.
- Identify and address inefficiencies or performance issues in system design or operation.
- Conduct root cause analysis of system failures and implement corrective actions to enhance reliability and efficiency.
- Develop strategies for water recycling and reuse to support sustainability goals.

Safety, Compliance, & Environmental Management:

- Ensure all UPW and wastewater systems comply with local, national, and international environmental regulations and industry standards.
- Implement safety protocols for high-risk activities, such as handling hazardous chemicals used in water treatment processes.
- Maintain environmental compliance by managing the discharge of treated wastewater and ensuring adherence to effluent quality standards.
- Conduct risk assessments and hazard analyses for system design and construction phases.

Stakeholder Coordination & Reporting:

- Act as the primary point of contact for UPW and wastewater systems, coordinating with end user, project teams, and regulatory bodies.
- Prepare and present progress reports, system performance data, and recommendations to stakeholders.
- Facilitate cross-disciplinary collaboration to ensure UPW and wastewater systems meet overall project objectives.
- Address client feedback and ensure timely resolution of concerns related to system design or operation.

Team Leadership & Resource Management:

- Lead and mentor a team of contractors working on UPW and wastewater systems.
- Develop and implement training programs to enhance team expertise in water treatment technologies and system operation.

- Foster a culture of continuous improvement and innovation within the team.

Qualifications:

• Education: Bachelor’s degree in Chemical Engineering, Environmental Engineering, or a related field.
• Experience: Minimum 6 years of experience in UPW and wastewater systems, with at least 3 years in a Waste water treatment role, preferably within semiconductor or high-tech industrial construction.
• Skills: Proficiency in water treatment design software and tools, strong leadership and project management skills, and a deep understanding of semiconductor water quality requirements.

Working Conditions:
This role requires time split between office work for planning and reporting and on-site presence during construction, installation, and commissioning. Extended hours may be necessary to meet project deadlines.

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment