Total 20,694 structural engineer job vacancies in Engineering category in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

Our client is from Oil and Gas industry. They are looking for a Lead / Principal Engineer (Mechanical) Oil & Gas for the next phase of their business. They are located in West.

Duties:

• Lead Mechanical and HVAC disciplines for CAPEX projects, overseeing FEED consultants, EPC contractors, and vendors.
• Develop and issue design bases, datasheets, project specifications, and scopes of work for feasibility studies, FEED, and EPC projects.
• Review and evaluate proposals from consultants, contractors, and vendors.
• Validate and approve Mechanical and HVAC deliverables in CAPEX projects.
• Support regulatory approval processes and coordinate with consultants and contractors.
• Collaborate with project management, engineering disciplines, and operations teams.
• Witness factory acceptance tests (FAT) and ensure accurate engineering databases.

Requirements

• Min Bachelor’s Degree in Mechanical Engineering or any relevant field.
• Min 12 - 20 years’ experience in Oil & Gas industry, with exposure in LNG industry.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

Key Responsibilities:

• Develop and maintain applications using .Net.
• Implement and manage CI/CD pipelines to ensure smooth deployment processes.
• Monitor, troubleshoot, and optimize application performance and reliability.
• Involve in the POC on the latest practice and technology.
• Manage application under cloud native infrastructure, e.g. OpenShift, AWS and ensure high availability and scalability.
• Participate in code reviews, testing, and quality assurance activities.
• Stay updated with the latest industry trends and technologies to ensure our solutions remain current and effective.

Required/Mandatory Skills and Qualifications :

• Bachelor’s degree in computer science, Engineering, or a related field.
• Proven experience as a .Net (C#) developer.
• Familiarity with bash script.
• Knowledge of database management systems (SQL, NoSQL).
• Solid understanding of version control systems (Git).
• Strong understanding of DevOps principles and practices.
• Experience with CI/CD tools (Jenkins, Scanning tools, etc.).
• Familiarity with containerization and orchestration tools (Docker, OpenShift, Kubernetes).
• Networking technologies(HTTP, DNS, NTP, Load Balancer)
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Mandatory skills :-

• DevOps, CICD, Jenkins
• Microservice, Docker, Container
• Dotnet, C#, Python
• Databases, Middleware
• Cloud, Kubernetes, Openshift, AWS
• Reliability, Scalability
• TCP/IP

Job Description

Perform maintenance service of equipment in his charge

Apply correct work methods and procedures to ensure reliability and safe operations

Troubleshoot minor equipment faults and carry out preventive and/or corrective actions

Ensure all work processes comply with quality, environmental and safety procedures and requirements

Communicate with customers on any operational enquiries and/or feedback

Report to superior and team timely.

Ensure Preventive Maintenance Sheet (PMS) is carried out and signed by customer every month

Perform ad-hoc assignments such as technical support, training and assessments etc

Requirement:

Diploma education in Electrical, Mechanical Engineering with no prior working experience as training will be provided.

Good inter-personal and communication skills

Responsible, proactive, self-driven and good organizing skills

Proficient in Microsoft Office applications, namely Excel, Word, PowerPoint

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Please email your resume in a detailed MS Word format to [email protected] stating:

Current Drawn

Expecting Salary

Date Available

Reason to Leave each job:

We regret that only shortlisted candidates will be notified

Joyce Koh Ai Leng

People Profilers Pte Ltd

20 Cecil St, #08-09, PLUS Building, Singapore 049705

Tel: 6950 9737

www.peopleprofilers.com

EA License Number: 02C4944

EA Personnel Reg nos R1110618

Job Id : L988V94Y

As a Senior DDQA (Development and Design Quality Assurance) CMOS Reliability Engineer, you will be primarily responsible for developing and optimizing quality and reliability criteria related to CMOS process for the next generation of Micron's memory parts. You will be partnering with Technology Development (TD) on latest products and technologies related to CMOS Front end/interconnect module and define quality and reliability fail modes especially NUDD (New, Unique, Different, Difficult) with goal to mitigate risk and achieve product qualification milestone successfully. You will also be required to identify, diagnose, and resolve CMOS related problems by applying failure analysis, FMEA or 8D methodology. In this position, you will be working in a highly collaborative atmosphere, interacting with various groups such as Technology Development (TD), Process Integration, electrical and physical failure analysis, Product Engineering, Quality Reliability Assurance Team to develop product that meets Quality and Reliability specs and requirements.

Responsibilities include, but not limited to:

• Drive new CMOS devices or modules for the future technology of NAND from Product Quality and Reliability perspective.
• Define & implement Reliability test methodology for validating the risk of new CMOS module for the next generation of Micron's memory parts.
• Provide insights and guidance to the Global Quality (GQ) management team on topics involving CMOS.
• Interact and collaborate with Design Team, TCAD, modeling, and layout teams to drive clearer definition of CMOS device and reliability improvements across multiple tech-nodes and designs.
• Develop/re-define inline and electrical critical specifications criteria for optimum product performance and drive activities to get them to manufacturing process capability.
• Characterize and validate new CMOS device, models, and test structures for developing future NAND products.
• Develop, establish new CMOS Param or optimize scribe design for CMOS parameters.
• Collaborate with various stakeholders and provide DDQA independent assessment on Quality & Reliability items in various technology development milestones (EPP, SVC, MSC, VME), escalate issues and collaborate for timely risk mitigation and resources, also provide inputs for Leaderships in making decision on passing the Qual milestone (Low Tier Qual/High Tier Qual/Auto Qual etc).
• Support technology transfer to production facilities (some international travel may be required).
• Partner with multiple stakeholders in Process Conversion Review Board Meeting (PCRB) to improve coverage from various aspects of product quality and reliability and prevent post qual escapes or excursion triggered by conversion.
• Identify gaps and drive initiatives/programs/business process to build margin around structural, electrical, and reliability performance.
• Build Product Fail Modes Repository based on NUDD (proactive) and previous issues (reactive), and work with key stakeholder to prevent issues or implement effective detections controls and containment.
• Deliver a new Product Fail Modes Repository and their Effective Detection Controls and Containment Document to meet technology development and Transfer timeline.
• Partner with Manufacturing (MFG) or Central Quality teams on current high-volume products to sustain and further develop the Product Fail Modes Repository through regular refresh meeting.

Minimum Qualifications:

• 4+ years’ experience in semiconductor related engineering.
• Hands-on experience on advanced CMOS engineering and device reliability, integration or characterization, specialized in Microelectronics and Semiconductor Device Physics is a requirement.
• Direct fab experience with nonvolatile memories manufacturing, knowledge of TCAD, K2 view layout, and NAND product are highly desirable.
• Understanding of Reliability items for CMOS and Array
• Understanding of electrical specifications, Probe and Param registers
• Knowledge of 3D NAND Fab processes, flow and common reliability and yield fail modes is preferred.
• Highly skilled at problem-solving activity and capability of leading cross functional team.
• Understanding on technical risk assessment, FMEA, and 8D methodology for root cause analysis and problem solving.
• Effective verbal and written communication skills in English.
• Good multitasking skills and ability to set priorities in a fast moving, dynamic environment.
• Ability to work independently, with minimal direction, and a focus on meeting commitments.
• Real passion for improving product quality to increase customer satisfaction.

Education and Experience:

• Bachelor’s degree or higher in electrical or electronics engineering, physics, chemistry, mechanical engineering, material science, or other applied engineering discipline.

Employer Background:
The employer is a prominent player in the precision engineering sector, specializing in the manufacturing of high-quality metal components. They are known for their advanced engineering capabilities and commitment to delivering tailored solutions to meet customer needs.

Overview:
Join a dedicated team as a Design Engineer, where you will contribute to the design and development of precision engineering solutions, focusing on automation systems and custom fixtures.

• Position: Design Engineer
• Industry: Precision Engineering
• Department: Design and Engineering
• Employment Type: Full-Time
• Working Days & Hours: 5 Days, Monday to Friday, 9:00 AM to 6:10 PM
• Work Location: Within Central Location at Macpherson
• Salary Range: Up to $4,500 Monthly Basic (Based on Relevant Experience)

Job Responsibilities:

• Create schematic diagrams and manufacturing drawings for automation systems and jigs & fixtures, utilizing AutoCAD and/or SolidWorks.
• Collaborate closely with engineers and coordinate with customers to ensure that manufacturing drawings meet specifications and requirements.
• Assist in the design and engineering process to enhance manufacturing efficiency and product quality.

Requirements:

• Experience: Minimum 1 year of relevant working experience, preferably in the manufacturing automation or jig & fixture industry. Entry-level candidates are welcome to apply; training will be provided.
• Education: Minimum educational qualification: Nitec / Higher Nitec / Diploma / Degree in Engineering (Any Major).

Recruit Lync Pte Ltd | EA License Number: 22C1000
Poon Weng Teik (Wilson) | EA Personnel License: R1657737

Job Description:

• Perform site planning, coordination & inspection relating to the construction project so as to ensure that project completion timeline, requirements and budget are met
• Assist in the implementation of project operations to comply with ISO 9001; 14001; 45001 standard requirements, documented procedures as well as client, companies, authorities’ requirements
• Update the progress of structural works in the Progress Reports
• Assist in commissioning including coordination structural engineering
• Maintain the proper documentation of inspection forms and other follow-up inspections from RE
• Support Quantity Surveyors in conducting site measurement and inspections
• Liaise with sub-contractors, suppliers and clients
• Work under the advice of the Safety Officer to adhere to compliance & safety requirements with regulatory and industry standards during the construction phase
• To ensure works are in compliance with quality procedures and within standard workmanship requirements

Requirements:

• Minimum Degree in Civil Engineering (recognized by PE Board of Singapore)
• At least 3 years of local relevant experience in Construction industry; HDB or LTA preferred
• Good analytical, communication and interpersonal skills

Suitable candidates are encouraged to apply this position via Apply Now button or email to [email protected]

Only shortlisted applicants will be notified.

Job Summary:

We are seeking a highly skilled Marine Structural Analysis Engineer to join our team. The successful candidate will be responsible for performing detailed structural analyses and design evaluations for various marine structures, ensuring safety, reliability, and compliance with industry standards and regulations.

Key Responsibilities:

• Perform structural analysis and design of marine structures including ships, offshore platforms, and subsea installations.
• Utilize advanced finite element analysis (FEA) tools and software to conduct stress, fatigue, and dynamic analyses.
• Develop and validate structural models to simulate and predict performance under various loading conditions.
• Collaborate with multidisciplinary teams to integrate structural analysis results into overall project designs.
• Prepare detailed technical reports, design documentation, and presentations for stakeholders.
• Ensure compliance with relevant industry codes, standards, and regulatory requirements.
• Participate in design reviews, risk assessments, and failure mode analysis.
• Provide technical support during the construction, installation, and operational phases of projects.
• Stay updated with the latest advancements in marine structural engineering and analysis methodologies.

Qualifications:

• Bachelor’s or Master’s degree in Civil Engineering, Structural Engineering, Naval Architecture, or a related field.
• Proven experience in structural analysis and design of marine structures.
• Proficiency in using FEA software such as ANSYS, ABAQUS, or equivalent.
• Strong understanding of marine structural codes and standards (e.g., DNV GL, ABS, ISO).
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication skills, both written and verbal, with the ability to present complex technical information clearly.
• Ability to work effectively in a team environment and manage multiple projects simultaneously.
• Professional Engineer (PE) license or Chartered Engineer (CEng) status is preferred but not required.

Preferred Skills:

• Experience with structural analysis of offshore wind turbines, oil & gas platforms, and subsea structures and marine vessels.
• Familiarity with software tools such as MATLAB, Python, or other programming languages for custom analysis and automation.
• Knowledge of marine construction techniques and materials.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A dynamic and collaborative work environment.
• The chance to work on innovative and challenging projects in the marine industry.

An established Civil & Structural Engineering Consulting firm in Singapore requires the following position for newly awarded project from Land Transport Authority (LTA):

Civil & Structural Engineer (Bridge)

Responsibilities:

• Assist Qualified Person (QP) to develop the engineering design and analysis on bridge / vehicular culverts
• To work with other team members, drafters and technical officers to complete the project within the timeline.
• To attend design meeting and site meetings with clients, PM and consultants from other disciplines.

Requirements:

• Possess degree in Civil/Structural (C&S) Engineering
• Preferably with minimum 3 years design experience in Civil & Structural Engineering firm
• Well experience in either in bridge / vehicular structural design would be an advantage
• Able to work independently as well as in a team to meet tight project timeline

Interested applicants, please write-in with detailed resume, stating personal particulars, current & expected salaries, availability and experiences to [email protected]

Our Client:

• Construction Industry
• Ang Mo Kio
• 5.5 Days, Office Hours
• UP $5,500 Basic + VB

Job Description:

• Assist the Project Manager with on-site technical and engineering issues and authority submissions.
• Prepare shop drawing, material submissions, monthly progress claims, and project management reports.
• Lead site coordination and execution for the construction project.
• Plan micro-scheduling with other trades in relation to the master program.
• Update progress on structural, architectural, and M&E aspects using scheduling tools.
• Supervise projects to ensure compliance with company procedures, quality standards, and contractual specifications.
• Ensure supervisors and foremen meet client regulatory requirements.
• Check compliance with the TOP checklist.
• Oversee all inspection activities.
• Ensure adherence to environmental, safety, and health practices at all times.

Requirements:

• Min. Degree in Civil / Structural Engineering recognized by PE Board / BCA.
• Min. 3 years of Building Engineering Projects working experiences.
• Proficient in MS Office, AutoCAD and BIM.

Applicants who possess relevant experience for the above responsibilities are most welcome to apply.

If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Deidrie Chiam Rui-Xuan | EA Reg No: R23116361

RS Recruitment Agency LLP | EA Lic No: 17C8809

Objective:

Provide 24x7 support for all Implant Equipment Tools and Issues

Job Description:

• Possess knowledge on SPC, DOE, FDC, ECMS and all the statistical analysis tools to help optimizing equipment robustness..
• Able to coach junior engineers in performing hardware trouble-shooting for daily operations
• Establish Preventive Maintenance (PM) plans for all implant equipment and optimize PM for quality, cost, and productivity.
• Liaise with vendors to resolve equipment issues and improve equipment performance
• Initiate meeting with both process and manufacturing Engineers to ensure work is carried out efficiently to meet module objectives and analyze low yield and WAT issues
• Establish stock levels of essential spare parts and consumables to support equipment maintenance based on forecasted manufacturing volume. Liaise with vendors to minimize / eliminate over-stock or under-stock
• Manage new equipment start-up to support production, from facilities hookup, vendor startup, to acceptance of equipment for production
• Develop continuous improvement and Implement equipment improvement projects to improve equipment efficiency, cost reduction and reliability of equipment
• Forecast financial budgets for equipment expenditures. Setup tracking system to monitor expenditures
• Set targets, goals, and projects for the section to minimize wafer scrap, equipment cost per wafer, optimize equipment capability and utilization to meet operational needs
• Provide feedback / training to AEs and TAs on their troubleshooting skills, equipment knowledge, decision making, risks assessment
• Follow up on SPSR, MRB, 8D, TECN, and ECN documentation for closure of issues / events. Provide guidance to Junior Engineers
• Self audit and update specifications to meet TS16949 Quality Standard requirements
• Set Expectation and carry out performance appraisal for Technician or AE as instructed by Section Manager. Help the AE or Engineer on their career path development
• Provide long term solutions to address daily issues. Resolve department hardware chronicle issues.
• Create and maintain implant operation SOP and PM OI
• Develop continuous improvement to enhance equipment reliability and cost of ownership, Able to plan implant cost budget

Requirements:

• Degree in Electrical / Electronics / Mechanical / Mechatronics / Microelectronics Engineering
• Min 3 years of relevant work experience in Diffusion Implant Equipment for Engineer and more for Senior and above
• An excellent team player with good interpersonal, communication and written skills
• Strong logical thinking capability and good analytical skill
• High level of integrity with strong leadership attributes to lead and coach a team
• Highly committed with good ownership and accountability
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

• Project Planning & Monitoring, follow-up & prepare report on work site progress work closely with Project Manager on co-ordination & planning for work
• Attend site meeting
• Ensure all works are carried out in accordance to the drawings, specifications, construction plan, procedures, work instructions and most importantly, on schedule
• Co-ordinate all aspects of works with client
• Control the use of site resources and overall project cost & also monitor and control wastage on site
• Working experience in the construction industry - LTA project would be an advantage

Job Purpose

At Great Eastern, we are building Data and AI capabilities to activate the full value of our data. Reporting to Head, Group Data and AI, Center of Excellence, this role is to

• To lead the Data & AI project end to end from development to deployment
• To help the leaders make the right technology decisions for data engineering/science, data hosting and to identify the right partners for development.

The Job

• Work across the entire GEL Data & AI solution space, designing and developing solutions.
• Collaborate with business users to understand and solve their requirements, driving business value.
• Collaborate with data analysts, data scientists, and data engineers to identify and pilot use cases and develop capabilities.
• Discuss feasibility and architectural design with business teams, translating their vision into realistic technical implementation.
• Present and demonstrate solution concepts, prototypes, and final deliverables to business users.
• Design, develop, and implement scalable data pipelines and machine learning models.
• Participate in code reviews, knowledge sharing, and meetings to foster collaboration and continuous improvement.
• Optimize model performance, ensuring scalability, security, and data integrity of data & AI solutions.
• Identify opportunities for innovation, applying new technologies and best practices.
• Mitigate business and regulatory compliance risks.
• Stay updated on industry trends, emerging threats, and technologies.
• Highlights any potential concerns /risks and proactively shares best risk management practices
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

Our Requirements

• Master's Degree in computer science, engineering, or related field.
• 5+ years of experience building data products and services in engineering positions.
• Broad knowledge of Data & AI pillars: Data Engineering, Analytics, and AI/ML.
• Proficiency in programming languages (Java/Python/R/Scala), SQL, and Big Data querying tools.
• Experience with machine learning libraries and frameworks (TensorFlow, scikit-learn, PyTorch).
• Familiarity with systems development life cycle, project management, and Agile methodologies.
• Ability to explain complex concepts in non-technical language.
• Strong problem-solving skills and a proactive mindset.
• High level of integrity takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are

committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Job Description

• Prepare & instal electrical/electronic equipments
• Commissioning and testing of electrical /electronics equipments
• Perform calibrations of equipments
• Project Planning and Analysis
• Attend Meetings and Go On-Site Walks
• Give Counsel to Clients
• Interpretation of Electrical /Electronics Designs

Requirements

• Minimum 1 years of relevant working experience
• Proficient in MS Words & Excel, Revit and AutoCAD
• Strong analytical, self-motivated, good communication and interpersonal skills, meticulous, organized, multi-tasker, able to work independently and a pro-active team player

• Perform Assessment and remediation of vulnerabilities related to Windows and Linux OS, Hypervisors, Web Servers and OpenSSL.
• Assessment would be based on vulnerabilities identified by Security Team, Product Vendors, or fellow security vulnerabilities providers.
• Engineer to work with various party such as vendor to provide the remediation and/or workaround solutions to remediate the vulnerabilities.
• Engineer to perform coordination work with various parties such as actual users, business units, vendors to perform the change such as security fixes or server patching.
• Engineer is expected to work non-office hours to plan and perform the security fixes, or server patching.
• Engineer is expected to provide after office hours support for remediation and server patching and issues arising from system patch updates and security vulnerabilities fixes.
• Works closely with Internal Security Team to perform vulnerability scanning for pre and post.
• Minimum 3 years of experience in managing Windows or Unix and Linux Server platform in skills listed below:
• Windows, Linux OS (RedHat, Oracle, other Linux variations)
• Administering and supporting virtualization infrastructure
• Well versed in Windows Server Update Service(WSUS), yum repositories configuration and management.

Roles & Responsibilities

We invite forward-looking and dynamic engineers qualified to degree level (degree recognised by the Professional Engineers Board (PEB) of Singapore, to join their office in Singapore as Electrical Engineers. ACEPL specializes in building services consultancy and was established in 1995 to provide Mechanical & Electrical building services for condominiums, teaching institutions, hospitals, hotels, office buildings, shopping malls, data centers, etc. For more information about ACEPL’s work, visit www.alpha.com.sg

We offer:

• Competitive salary
• Conducive working environment
• Training and guidance by experienced seniors

We enable you to achieve:

Ultimate goal to achieve a Professional Engineer qualification.

What you will do:

Design, supervision, and contract administration of the following works for institutional/ commercial/ residential/ industrial projects:

1) Electrical Installation

• Medium and Low Voltage Systems
• Fault Analysis and Protective Relay Co-ordination Studies
• Single Line Diagram Design
• Sizing of Emergency Standby Generators
• Sizing of Uninterruptible Power Supplies
• General Lighting and Power Design
• Lightning Protection Design
• Earthing Design
• Extra Low Voltage Systems
• Solar Photo Voltaic Systems

2) Vertical Transportation

• Passenger/ service/ goods lifts including traffic analysis
• Escalators and travellators

3) Preparation of system schematics and layout drawings

4) Preparation of technical specifications and drawings

5) Tender evaluation

6) Plan submissions to relevant authorities

7) Review of contractors’ technical submission and shop drawings

8) Verification of contractors’ progress claims

9) Monitoring of contractors' site progress

10) Witness factory & site acceptance tests

Job Description

About the job:

• Work along with the Project team in the DevOps environment.

• Guiding the continuous integration, continuous deployment and continuous testing.

• Work closely with the development team and operation team to create DevOps strategy and toolset that suits the individual squads.

• Setup, deploy and maintain scalable, high availability systems

• Perform and automate deployment and security hardening of systems

• Automate and build up scalable containerized systems/environment using latest technologies (e.g. Redhat Openshift, MLOps tools, etc)

• Automate security hardening in testing, deployment and production setup based on industrial best practices

• Setup and maintain CI/CD, automated testing, development, and delivery environments

• Writing scripts/programs for service monitoring and health check of systems

• Day-to-day monitoring, backup, deployment, and maintenance of systems

About You:

• Experience with cloud orchestration, configuration management and auto-scaling techniques

• Experience on building and developing CI/CD pipeline and workflow (Gitlab CI/CD preferred)

• Experience on building and managing container image pipeline

• Experience with automation tools such as Ansible/Terraform

• Experience with installation and configuration of Redhat SSO

• Experience with load balancing setup for TCP/IP, HTTP, DNS, routings

• Knowledge of IT security standards, such CIS

• Good hands-on experience on using Infra-as-a-Code for configuration management and application deployment

• Overall knowledge on one or more of the following programming languages (Java, Python)

• Knowledge on continuous integration, test automation, version control, and software configuration management.

• Knowledge of machine learning and setup of MLOps tools such as H2O

Desired Background:

• Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent

• Minimum 3 years in software development industry or server infrastructure setup

• Experience in software-defined infrastructure (OpenStack).

• Experience with infrastructure provision tools (Docker, Ansible, etc).

• Good understanding of hardware infrastructure systems (network switches, firewalls, routers etc.) and Linux operating system.

• Basic understanding of DevOps principles and practices. Knowledge in DevSecOps will be an added advantage.

• Self-motivated and good communication skills. Good hands-on experience on using AWS Cloud Formation scripts for configuration management and application deployment.

• At least 1-year experience working closely with infrastructure. Experience in Linux, Windows, network troubleshooting is a plus,

• Experience on working in an Agile environment, in a close collaboration with developers, Knowledge on continuous integration, test automation, version control, and software configuration management.

• Excellent communication skills.

EA Number: 11C4879

Responsibilities:

• Able to read mechanical drawings, electrical drawings and electronics schematic diagrams/ wiring diagrams
• Work closely with the project team to ensure specifications are met
• Site-coordination and drawings verification where required
• Responsible for machine integration
• System installation, integration and testing
• Software Development - Design and develop control software for automation equipment
• Continuous improvements on existing and new software
• Work closely with the project team to ensure specifications are met
• Perform other ad-hoc duties as assigned by superiors

Requirements:

• Nitec/Diploma/Degree in Electonics/Mechatronics /Mechanical/Computer Engineering or equivalent
• Experience in designing and developing applications using programming language (Python, C++, Java, etc.)
• Good communication and interpersonal skills.
• Independent and good team player
• Able to read mechanical drawings, electrical drawings, electronics schematic diagrams / wiring diagrams

The Electrical Engineer assists and reports to the Senior Engineering Manager in the day-to-day product development research and testing activities including document its processes documentation.

Design electronic components, software, products, or systems for commercial, FMCG products and its applications. The person will design, plan, test and develop applications, modifications for electronic properties used in parts and systems to improve technical performance as well as supervising production process in ensuring its performance and quality.

Incumbent assist and responsible for the planning and coordination of the entire production process from managing staffing, coaching, and training, scheduling production runs, ensure adequate materials are available, and ensuring electrical components are in good working condition in supporting of demand/delivery schedules.

Responsibilities and Duties

• Develop state of the art products for current and new market segments.
• Electronics engineering to translate product requirements into hardware design.
• Seamless transition of products from design to manufacturing.
• Sound knowledge on EE Hardware and Software design and development process.

1. Hardware (PCBA)

• Schematic/PCBA design verification
• Gerber release, PCB fabrication, PCBA build
• Board bring up, test, debug, and fixes
• Safety and regulatory agencies certification
• BOM, reports, documentation, and files releases
• Familiar with Altium Designer will be added advantage

2. Software (Firmware)

• Development of embedded software development and real time control systems.
• Engage in test driven firmware development.
• Create, design, and develop test specifications for new systems software.
• Conduct testing, including testing firmware/hardware interactions on the device system level.
• Familiar with firmware development for embedded hardware platforms (Arduino, ESP-IDF, ARM32/64) will be added advantage.
• Develops manufacturing processes by designing and modifying equipment and components
• Building and assembling electrical components; soliciting observations during production
• Assures product quality by designing electrical testing methods, testing finished products and products capabilities and customers users experience
• Prepares product reports by collecting, analysing, and summarizing information and trends
• Provides engineering information and solutions for devices.
• Maintains product and company reputation by complying with federal and state regulations
• Established procedures; to end user for requesting repair services
• Completes projects by providing training and guidance to technicians
• Contributes to team effort by accomplishing related results as needed.
• Able to adopt a philosophy of continual improvement and constantly identify/propose higher efficiency and increase the quality of the finished product.
• Ability to troubleshoot any problems that occur in the production process.
• Other ad-hoc assignments by superior.

Qualifications & Requirements (Education, Experience, Skills, Knowledge, Etc)

• Minimum Bachelor of Science in Electrical / Electronic Engineering.
• Minimum 2 years of schematic design and PCB layout.
• Experience in designing electronic components, integrated circuitry, and algorithms. Board design in R&D environment will be added advantages.
• Experience with electromechanical, thermal, and power management is preferred.
• Experience with software/firmware programming, design specification and requirements and verification and validation.
• Project Management, Quality Focus, Database Design, analysing information etc.
• Efficiency in reporting research results, attentive to detail, emphasizing excellence in Innovation.
• Strong Analytical and problem-solving skills.

Roles & Responsibilities

• Developing and maintaining the entire DevOps pipelines.
• Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline onboarding.
• Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standards and ease of support.
• Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrate with tools.
• Lead analysis and resolution of the root cause for Test Orchestration / Environment related issues
• Ability to multitask and work in a fast-paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference-level presentation skills
• Stays current with industry trends and leads the development of key DevOps, Runtime, and Operational innovation platforms.

Technical Skills required:

• Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).
• Hands-on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Skill to containerize an application and good if Kubernetes
• Good Experience on OpenShift or AWS
• Prior technical background on different build and branching strategies.
• Deep technical background on Kubernetes deployment process.
• Good knowledge on maintaining/deploying secrets in Kubernetes.
• Prior working experience in setting up Jira workflow.
• Strong hands-on experience on Shell or Groovy scripting.
• Prior experience is customizing JIRA and Setting up confluence spaces.
• Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.
• Hand on experience in setting up DevOps governance, Security standards and audit requirements.
• Prior experience in setting up DevOps pipelines in internal and external cloud offerings.
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell
• Working knowledge of Murex, MxTest, Mx pipeline and Machine Learning applications will be an advantage.

Soft Skills

• Good knowledge of Agile processes and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking
• Team management skills

Your Role

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by UOB’s data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:

• Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data/model lineage, code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of Devops processes and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

Responsibilities:

• Has clear understanding of cloud and on-premises infrastructure and network components.
• Hands-on experience in implementing solutions on AWS and Azure.
• Hands-on experience in migrating on-premises infrastructure to cloud.
• Design and implement infrastructure in cloud based on customer requirements.
• Implementing High Availability, Backup & Recovery solutions on Azure & AWS, and preparing technical documents.
• Deploy, manage, and operate highly available & scalable cloud systems.
• Has clear understanding of security components (Ex. WAF, Jump Host, proxy, key vault, multifactor authentication, Endpoint Protection, IPS, Security Incident Management, etc.)
• Review Vulnerability Assessment and Security Assessment report, provide / implement solutions for infra and provide suggestions to application team.
• Liaise with product vendors in implementing the cloud solutions.
• Under minimal direction, plans and conducts research in application technologies in support of business objectives.
• Preparing documents - the desired future state of infra-architecture, and the gaps between current and future states. Define transition plans to close the gaps.
• Ensuring the stability, security, and performance of the cloud systems.
• Collaborating with cross-functional teams to understand cloud infrastructure requirements and develop appropriate solutions.
• Deploying, configuring, and managing infrastructure components, including servers, storage systems, virtualization platforms, and network devices.
• Perform cloud infrastructure activities including Patch management, Antivirus and Backup operations, Install & Configure Windows server roles (Active Directory, DNS & IIS), configuration of SMTP, SFTP & DHCP, etc.
• Conducting regular system monitoring, troubleshooting, and performance tuning to ensure optimal operation and minimize downtime.
• Implementing security measures, including firewalls, access controls, and encryption, to protect the organization's infrastructure and data.
• Managing backup and disaster recovery plans and procedures to ensure business continuity.
• Assessing emerging technologies and making recommendations for cloud infrastructure improvements and optimizations.
• Documenting infrastructure configurations, procedures, and processes.

Requirements:

1. Bachelor’s degree in computer science, Information Technology, or a related field.
2. Certified in both Azure and AWS minimally in one of the following areas Administration, Architecture, & DevOps
3. Proven experience as a Cloud Engineer.
4. Good knowledge of infrastructure components, including servers, storage systems, networking, and virtualization.
5. Understands clustering concepts (Windows & SQL), (DR) & High-Availability (HA), Knowledge on Load balancers, WAF & DDOS, Hypervisors & Virtualization
6. Proficiency in infrastructure automation and configuration management tools (e.g., Terraform, Ansible, Puppet, Chef).
7. Knowledge / Experience in installation / configuration of enterprise applications and tools will be a key consideration. (ex. Office 365, SharePoint, CRM, K2, and Nintex)
8. Solid understanding of security principles and experience in implementing security measures.
9. Proficient in scripting and programming languages (e.g., Python, PowerShell, Bash).
10. Experience with monitoring tools and methodologies for infrastructure performance and availability.
11. Excellent problem-solving and troubleshooting skills. Troubleshoot, diagnose, and resolve reported issues ensuring timely resolution.
12. Strong communication and collaboration skills to work effectively with cross-functional teams.
13. Experience working in GDC, GPC, GCC projects will be an added advantage (SG Specific)

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by the data-scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring.

Your main responsibilities will include:

• Conduct reviews for compliance of the ML models by overall platform governance principles such as versioning, data/model lineage, and code best practices and provide feedback to data scientists for potential improvements
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Optimize AI development environments (development, testing, production) for usability, reliability and performance.
• Have a strong relationship with the infrastructure and application development team to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models
• into APIs).
• Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.
• Evaluate open-source and AI/ML platforms and tools for the feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

Technical Skills

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands-on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing frameworks, such as Spark, or Dask.
• Knowledge of Workflow Orchestrators, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling the delivery of models, managing and governing ML Models, and managing and scaling AI platforms.
• Knowledge of cloud platforms (e.g. AWS, GCP) would be an advantage.

Soft Skills

• Good knowledge of DevOps processes and principles
• Strong in Software Engineering fundamentals
• Excellent communication skills
• Attention to detail
• Analytical mind and problem-solving aptitude
• Strong Organizational skills
• Visual Thinking

The title holder will be part of a team that design, test and commission electrical control systems for ACMV/HVAC systems in buildings. The candidate will work with other internal engineering teams to design the control system to meet the overall project objectives and goals.

Specific job responsibilities:

• Design and develop control strategy for automation system controls for building M&E systems (ACMV)
• Design and draft system control logic and drawing to meet project commitments
• Work closely with internal teams such as mechanical design and project engineers to design effective solutions to solve engineering problems
• Liaise with suppliers on components selection and quotation to develop project costing
• Review specifications and standard practices for projects and tenders
• Addresses issues brought about by feedback from customers and operations teams to improve the performance of the electrical and controls system

To excel in this job, the candidate will require a high level of organization, creativity, attention to detail, and engineering knowledge to successfully perform design, engineering and field start up tasks for System Integration in Electrical Controls for building M&E systems.

Minimum job requirements:

• Bachelor’s degree in Electrical/Controls/Electronics Engineering
• Relevant experience/ experience in ACMV design/controls is a plus
• Exceptional communication skills (written and verbal)
• Ability to prioritize and work independently to meet project timelines