Total 5,312 procurement engineer job vacancies

As a Process Engineer you will be primarily responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. You will also be required to identify, diagnose and resolve assembly process related problems by applying failure analysis, FMEA, 8D or SPC/FDC methodology. Additional responsibilities include coordinating and carrying out process, equipment and material evaluation/optimization to implement changes at process step, leading and participating in yield improvement and cost reduction activities, handling new process baseline qualifications and managing, auditing and liaising with material suppliers to achieve quality, cost and risk management objectives.

Job Description

Micron’s NAND Process Development (PD) Singapore group is looking for process development engineer to support TD activities associated with rapid deployment of technology nodes, the process margin improvement work necessitated thereof as well as to ensure extended engagement with manufacturing on the upcoming technology nodes.

Responsibilities

• Process module ownership involving Chemical Mechanical Planarization (CMP) process characterization and advanced process development for 3D NAND and beyond.

• Work with process development engineers in Singapore and Boise, US TD site and vendors to develop processes that meet integration requirements for next-generation 3-D NAND nodes.

• Transfer CMP processes to high volume manufacturing (Fab10N), and work on continuous improvements to manufacturability.

• Address process issues working with Fab10N team and with key business partners on tool choices for manufacturing, evaluations etc., as applicable.

• Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts.

• Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications.

• Initiate and manage experiments to widen process margins as well as to test out manufacturability of next node solutions

• Identify process simplification opportunities and drive multi-functional teams in implementation

• Incorporate best known manufacturing methods into early development phase of upcoming nodes.

• Design and implement advanced process monitoring and control methodologies.

• Serve as a technical expert within Micron contributing to technical projects for improvements to processes, procedures and equipment.

• Define and leads complex, multi-functional projects of critical importance to Micron, helps to define strategic direction.

• Lead team or sites or suppliers on complex, multi-disciplinary projects in quality focused meetings, process and yield improvement meetings, cost and productivity improvement meetings

• Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers.

• This position requires communications and collaboration with partners both locally and globally.  Strict alignment to Micron Intellectual Property protection policy is a must.

• Be part of the continuous worldwide TD engagement with suppliers pushing for breakthrough solutions.

• Using, applying, and leveraging AI, identify opportunities to streamline workflows, optimize processes, and support innovation by incorporating AI-driven solutions and enabling data-driven decision-making across projects and teams

Requirements

• Bachelors’/Masters in Materials Science, Chemical Engineering or Physics with minimum 5 years hands-on experience in groundbreaking CMP polishing equipment such as AMAT or EBARA, or

• PhD in Materials Science, Chemical Engineering or Physics.

• Lead and mentor CMP engineers early in their careers while driving technical excellence.

• Build, lead, grow a capable CMP team for NAND technology development

• Excellent problem-solving skills and critical decision making

• Working knowledge of data analysis systems e.g.: Y3 to facilitate analysis of experimental data

• Working knowledge of Design of Experiments (DoE)

• Proven ability to collaborate with local and overseas teams on projects

• Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications.

• Proven ability to work in a demanding & dynamic environment and able to prioritize and manage multiple projects simultaneously

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector

• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology

• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms

• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content

• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.

• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.

• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.

• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.

• Background in handling data analytics as well as strong knowledge of data/cloud technologies.

• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.

• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.

• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.

• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500 per month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No.: 96C4864
Reg. No.: R26161270 JOEY TAY YI TING

About Gainmax Group

Gainmax Group is a growing company in the renewable energy, engineering, construction, and green technology sector. We are actively involved in solar PV, battery energy storage systems, electrical engineering, EV charging, and sustainable energy solutions.

We believe in building a corporate yet family-oriented culture, where our people work as one team, learn together, grow together, and support one another.

We are looking for a responsible, technically strong, and leadership-driven talent who can adapt to a fast-paced project environment and lead projects with ownership, discipline, and accountability.

About the Role

We are seeking a Senior Project Engineer – Solar & Battery to manage, plan, coordinate, and lead solar PV and battery energy storage system projects from planning stage to completion.

The ideal candidate must be able to handle project schedules, site coordination, manpower planning, subcontractor management, technical coordination, authority submission support, testing and commissioning, and project handover.

This role is suitable for someone with strong leadership, good problem-solving ability, and the capability to drive project progress while ensuring safety, quality, timeline, and cost control.

Occasional overseas travel may be required for project or business-related assignments.

Key Responsibilities

• Key Lead and manage solar PV and battery energy storage system projects from planning to completion.

• Prepare and monitor project schedules, work programmes, manpower plans, and project timelines.

• Plan project lead time, material delivery schedule, installation sequence, testing schedule, and handover timeline.

• Coordinate with clients, consultants, suppliers, subcontractors, LEW, PE, internal teams, and site personnel.

• Review project drawings, technical documents, method statements, risk assessments, and project specifications.

• Supervise site installation works to ensure compliance with project requirements, safety standards, and quality expectations.

• Lead site meetings, progress meetings, coordination meetings, and internal project reviews.

• Monitor project progress, identify delays or site issues, and propose practical solutions.

• Ensure proper documentation, including progress reports, site photos, inspection records, testing reports, and handover documents.

Support procurement planning by coordinating material requirements, delivery schedules, and technical specifications.

• Assist in testing and commissioning of solar PV systems, inverters, battery systems, switchboards, monitoring systems, and related electrical works.

• Ensure project works comply with relevant Singapore standards, safety regulations, client requirements, and authority requirements.

• Manage subcontractors and site teams to ensure work is completed safely, efficiently, and according to schedule.

• Support variation orders, progress claims, project costing, and handover documentation when required.

• Perform other project-related duties assigned by management.

Requirements

• Diploma or Degree in Electrical Engineering, Renewable Energy, Mechanical Engineering, Construction Management, or related discipline.

• Minimum 5 years of relevant experience in project engineering, construction, electrical works, solar PV, or battery energy storage system projects.

• Experience in solar PV installation, BESS, electrical systems, switchboards, inverters, or renewable energy projects will be an advantage.

• Strong project planning, site coordination, and leadership skills.

• Able to prepare and manage project schedules, manpower planning, and project lead time.

• Able to read and understand technical drawings, single-line diagrams, layout plans, and project specifications.

• Good knowledge of site safety, quality control, testing, commissioning, and project documentation.

• Strong communication skills and able to coordinate with clients, consultants, contractors, suppliers, and internal teams.

• Able to work independently, lead a team, and make decisions under pressure.

• Proactive, responsible, hands-on, and result-oriented.

• Strong problem-solving skills with the ability to manage fast-moving project requirements.

• Willing to travel overseas occasionally when required.

Preferred Skills

• Knowledge of solar PV system design, installation, testing, and commissioning.

• Knowledge of battery energy storage systems and energy management systems.

• Familiar with Singapore electrical standards, safety regulations, and authority submission processes.

• Experience working with LEW, PE, consultants, main contractors, or government-related projects.

• Proficient in Microsoft Project, Excel, Word, PowerPoint, AutoCAD, or relevant project management tools.

• Possess Class 3 driving licence will be an advantage.

Join the Government Sector and play a key role in driving the digital transformation of government agencies through the Government Commercial Cloud (GCC) platform. As a Senior Cloud Solutions Engineer, you will guide solution design, mentor engineers, and supporting agencies in adopting modern cloud technologies and architecture.

Location: Punggol (Hybrid)
Job Type: Contract (Renewable basis)

Key Responsibilities

• Lead solution architecture and technical design reviews for complex customer engagements.
• Provide mentorship and technical guidance to Solutions Engineers on implementations and best practices.
• Act as the technical escalation point for complex issues, blockers, and customer requirements.
• Define and maintain solution engineering standards, reusable frameworks, and technical playbooks.
• Review and approve solution proposals, technical specifications, and proof-of-concept outcomes.
• Collaborate with Product, Customer Success, Architects, and SMEs to drive successful solution delivery.
• Gather field feedback and recommend improvements to products, processes, and customer experience

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related discipline
• Min. 4 years of experience in Solutions Engineering, Cloud Engineering, Technical Consulting, or related roles.
• Strong understanding of cloud platforms such as AWS, Azure, or GCP.
• Experience designing and implementing enterprise-scale technology solutions.
• Excellent stakeholder management, communication, and presentation skills.
• Ability to translate technical concepts into business-friendly recommendations.
• Experience working with enterprise customers and managing complex technical engagements.
• Strong analytical, problem-solving, and project management skills.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.

• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elaine Wong (Zoe) l Outsourcing Team

ScienTec Consulting Pte Ltd - 11C5781

The Security / Network Engineer is responsible for supporting migration teams by implementing secure network connectivity, firewall configurations, and security controls required for migration between on-premise and Azure environments. This role ensures compliance with enterprise security standards while enabling seamless and secure workload migration.

In addition, the role operates within a managed services environment, ensuring infrastructure and network services remain secure, available, and performant through proactive monitoring, troubleshooting, and incident resolution.

Key Responsibilities:

Network & Security Implementation

· Implement firewall rule changes to support migration activities and ongoing operations.

· Configure and manage network security devices (e.g., Fortigate, Palo Alto).

· Support hybrid connectivity setup including VPN and ExpressRoute configurations.

· Implement network segmentation and micro-segmentation strategies.

· Enforce enterprise security policies and compliance requirements across environments.

· Support secure connectivity between on-premise and Azure environments.

Azure Networking & Cloud Security

· Configure and manage Azure networking components (VNets, NSGs, route tables, load balancers).

· Implement and maintain secure access controls and network security principles in cloud environments.

· Support design and implementation of secure hybrid architectures.

· Assist in implementing security controls for cloud-based workloads.

Technical Support & Incident Management

· Resolve incidents and service requests within agreed SLA timelines under general supervision.

· Monitor network and security systems proactively to detect and mitigate issues.

· Investigate, analyse, and troubleshoot network and security-related incidents.

· Maintain accurate and timely updates in ticketing systems with resolution details.

· Escalate complex issues to senior engineers or Technical Leads where required.

Service Delivery & Process Compliance

· Ensure adherence to ITIL processes including Incident, Problem, and Change Management.

· Support, track, and document change implementation activities.

· Participate in security audits, compliance checks, and risk assessments.

· Contribute to continuous improvement of security and network operations.

Collaboration & Knowledge Sharing

· Work closely with migration teams, cloud engineers, and security architects.

· Communicate effectively with stakeholders to support secure migration delivery.

· Share knowledge and document solutions for recurring issues.

· Support junior engineers and contribute to team capability development.

Required Skills & Qualifications

· 3–5 years of experience in networking and security engineering.

· Hands-on experience with:

- Firewall administration (Fortigate, Palo Alto preferred)

- Azure networking (VNets, NSGs, routing)

- VPN and ExpressRoute connectivity

- Network security principles and segmentation

· Security policy implementation and compliance

· Strong understanding of hybrid cloud networking architectures.

· Experience supporting enterprise infrastructure and migration projects.

Key Competencies

· Strong troubleshooting and analytical skills in network and security domains.

· Ability to work in high-pressure, mission-critical environments.

· Good communication and stakeholder engagement skills.

· Attention to detail and strong documentation practices.

· Customer-focused mindset with commitment to service excellence.

Qualifications & Certifications

· Bachelor’s degree in IT, Computer Science, or related field (or equivalent experience).

· Preferred certifications:

- CCNA / CCNP (Networking)

- Palo Alto, Fortinet, or other firewall certifications

- Microsoft Certified: Azure Network Engineer Associate

- Security certifications (e.g., CISSP, Security+) are advantageous

· Experience with Zero Trust architectures.

· Exposure to cloud security tools (Defender for Cloud, Sentinel).

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

The Managed Services Cross Technology Engineer (L3/L4) – Network / Security is an advanced, architect-level role across multiple technology domains (Cloud, Security, Networking, Applications, Collaboration). The primary objective is to design, implement, and maintain an enterprise network defensive architecture to protect data and infrastructure from sophisticated threats. This role acts as the highest-tier escalation point (4th-line support) to resolve complex operational incidents, ensure contracted client outcomes, and meet Service Level Agreements (SLAs).

Key Responsibilities

1. Strategy & Architecture

• Security Roadmap: Define, architect, and champion the overall network security posture across on-premise, cloud, and hybrid environments (including Zero Trust and SASE models).

• Infrastructure Design: Deploy and manage core components like Next-Gen Firewalls (NGFW), IDS/IPS, WAF, Load Balancers, VPNs, and Network Access Control (NAC) systems.

• Cloud & Segmentation: Design secure cloud networking patterns (e.g., AWS VPCs, Azure VNets) and enforce micro-segmentation.

• Policy & Governance: Establish and enforce comprehensive network security policies, standards, and baselines.

2. Incident Management & Operations

• L4 Escalation Support: Act as the final technical tier for complex incidents that lower-level teams (L1–L3) cannot resolve, performing deep root-cause analysis.

• Ticket & SLA Ownership: Systematically troubleshoot, log, track, and update tickets with resolution details within agreed timelines.

• Proactive Monitoring: Diagnose and investigate potential system issues and errors before or when they occur to minimize client impact.

• Emergency & Change Management: Serve as an emergency contact for critical, business-impacting outages and oversee strict change management protocols.

3. Optimization, Projects & Mentorship

• Automation: Collaborate with automation teams to script and automate routine operational tasks for effort optimization.

• Knowledge Sharing & Mentorship: Create high-quality technical documentation (HLD/LLD) and coach/push knowledge down to junior engineering teams.

• Disaster Recovery: Develop, implement, and test network security components within Disaster Recovery (DR) and Business Continuity plans.

• Project Delivery: Manage, implement, and execute technical projects according to client timelines.

• Quality Audits: Perform process and service experience quality audits.

Key Competencies & Attributes

• Strong client-centric focus with a passion for exceeding expectations under pressurized environments.

• Excellent change management, active listening, and cross-cultural communication skills.

• Ability to plan effectively amid changing circumstances and work extended hours when necessary.

Technical Skills & Certifications

• Education: Bachelor’s degree in IT/Computing or equivalent work experience.

• Preferred Certifications: CCIE, CCNP Security, CISSP, PCNSE, or vendor-specific firewalls (Fortinet, Check Point, Cisco).

• Core Technology Stack Required:

  • Firewalls/Security: Cisco ISE, Fortinet (FortiGate, FortiManager), Check Point, CyberArk.

  • Application Delivery/Vulnerability: F5 (LTM, WAF), RSA, Tenable, Trend Micro.

  • Monitoring & Tooling: Solarwinds, Splunk Enterprise, OPSWAT.

  • Network Diagnostics & Automation: Advanced packet analysis (Wireshark/tcpdump) and basic automation scripting (Python/Ansible).

Responsibilities:

• Maintenance of IT peripherals including backup & recovery
• Set-up, installation, re-installation or migration of IT peripherals
• Relocation of IT peripherals within premises
• Provide onsite support at client's premise, remote support by phone & email, and standby support if necessary/activated. Handling clients/end-users IT related requests
• Troubleshoot hardware & software issues
• Users profile administration
• Interface with other maintenance vendors (eg. HP, Microsoft, etc) for problem reporting. Place service call and follow up until the problem has been resolved.
• Installation and configuration of software according to customer standard

Requirements:

• Minimum ITE / Diploma in IT or equivalent
• At least 1 year of working experience in IT field
• End-user support experience is preferred
• Basic networking support & supporting in OS platform
• Have Customer Service Skills/ Good Communication Skills/ Team Player/ Take Initiative
• Able to work under pressure and in a fast-paced environment

Others

• 5-days work week / w CPF / w Leave Entitlement
• Duration: Renewal contract with benefit (AL, MC, Medical claim) & Perm Role offer

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

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.

Job Objectives

Design and deliver scalable real-time data and machine learning solutions by building robust ingestion and transformation frameworks across Hadoop ecosystems. Enable end-to-end ML model operationalization and performance optimization, while supporting multi-modal data processing and development of engineering tools and applications.

Key Responsibilities

• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Skillset

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 6+ years of professional experience
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Key Skills:

Experience with Python, Java, Scala, or C++

ML Frameworks & Libraries – XGBoost, Scikit‑learn, Tensor Flow/keras, Hugging face (NLP/NLQ/Gen AI use cases)

Full-Stack Development

Performance Optimization

Data Engineering & Ingestion Frameworks

Collaboration with Data Science Teams