Total 4,704 Engineering job vacancies

Responsibilities:

• Develop PLC software for complex industrial processes, primarily using Siemens S7-1500 and TIA Portal
• Participate in FAT, global site commissioning, startup support, troubleshooting and optimization
• Collaborate with process, mechanical, and electrical engineering teams
• Create and update automation documentation
• Integrate HMI/SCADA systems

Requirements:

• Strong Siemens S7-1500 and TIA Portal experience
• Background in industrial automation and process control
• Ability to grasp complex processes, independent and solution-focused
• SCADA experience; background in gas, chemical, pharmaceutical or process industries is a plus
• Strong teamwork and communication skills (customers, suppliers, contractors, internal teams)

Interested candidates who wish to apply for the advertised position, please click on the APPLY button below to send in your resume or send to engg1@talenttradersg.com

EA License No: 13C6305

Reg. No.: R24121656 (CHEN JING WEI)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Design and project management of mechanical and electrical engineering systems (MVAC, Elect, Lifts, Fire Protection, Plumbing and Sanitary, etc) for building projects in the various sectors such as residential, office, commercial, hospital, institutional, etc. Engineer shall be expected to carry out design work, attendance at consultants meetings and management of the relevant M&E aspects of the construction activities.

- Degree holder with about 8 years’ experience

experience in design and implementation.

- Able to multi-task and work in a fast paced environment

- Possess initiative, drive and ability to work independently

- Good interpersonal/communicational skills

- Experience as a consulting in the construction industry is a pre-requisite

Documentation & Quality Records

Prepare, maintain, and organize QA/QC documentation for ongoing projects.

Ensure inspection records, reports, and quality-related documents are properly filed, updated, and maintained.

Prepare material submittals, inspection checklists, test reports, and handover documentation.

Maintain document control for drawings, method statements, technical submissions, and project records.

Track and monitor material certificates, calibration certificates, and testing reports for compliance and traceability purposes.

QA/QC Coordination

Coordinate with project, engineering, production, and site teams for submission and collection of QA/QC records and documents.

Support QA/QC Engineers during inspections, audits, and quality-related activities.

Ensure documentation complies with client requirements, project specifications, and company quality procedures.

Compliance & Audit Support

Ensure proper record traceability and compliance with company quality management procedures.

Assist in maintaining quality procedures, forms, templates, and standard documentation.

Reporting & Administrative Support

Prepare weekly and monthly QA/QC reports and quality tracking updates.

Maintain and update quality logs, document registers, and monitoring records.

Ensure proper filing and organization of both softcopy and hardcopy QA/QC documents.

Perform other ad-hoc QA/QC administrative and coordination duties assigned by management.

Job Details:

• Basic Salary up to $5500

• 5 Working day: Monday to Friday

• Office Hour: 8:30am - 6.00pm

• Working location: Kallang Sector

Job Descriptions:-

• Design and develop sheet metal components using CAD tools (e.g. SolidWorks, AutoCAD)

• Prepare detailed engineering drawings, specifications, and technical documentation

• Select suitable materials based on design, manufacturability, and cost considerations

• Collaborate with production teams to ensure design feasibility and smooth execution

• Support new product introduction (NPI), including reverse engineering and product design

We regret to inform that only shortlisted candidates will be notified. 

Chong Wei Lian (William) | Registration Number: R23115965

AlwaysHired Pte Ltd | EA Licence No: 24C2293

Job Description

• Prepare and submit MSRA prior to the commencement of work
• Liaise with SO team to clear off inspection.
• Lead the site supervisor in clearing off site inspection, and to check and ensure that the work is carried out safely as per drawing, and is of good quality.
• Coordinate with subcontractor to resolve the issues and to ensure that the work is carried out as per approved MSRA & design, and to meet the schedules.
• Check and ensure all the temporary work is carried out as per PE design.

Requirements

• Degree in Civil, Mechanical or Electrical, or a related field.
• Min 2 to 3 Years Relevant Work Experience (MEICA)
• Proficient in English writing and speaking.
• Microsoft application (words, excel, ppt etc)

Job Description:

The role involves monitoring and ensuring the quality of all electrical works, verifying compliance with project specifications, standards, and statutory requirements.

Key Responsibilities:

· Implement and manage quality control procedures for electrical works on site.

· Conduct inspections, audits, and testing of electrical installations, equipment, and materials.

· Review and verify electrical shop drawings, material submissions, and method statements for compliance.

· Monitor workmanship to ensure alignment with project specifications and quality standards.

· Prepare non-conformance reports (NCRs), track corrective actions, and ensure timely closure.

· Liaise with consultants, clients, and subcontractors to resolve quality-related issues.

· Maintain quality documentation, inspection records, and test reports.

· Support handover and commissioning by ensuring all electrical quality requirements are met.

Job Requirements:

• Degree/Diploma in Electrical Engineering or related discipline.
• Minimum 6–8 years of experience in quality control for electrical works in large-scale construction projects.
• Those with more years of experience will be considered for senior position.
• Strong knowledge of LV/MV electrical systems, standards, and QA/QC practices.
• Familiarity with relevant codes, regulations, and authority requirements in Singapore.
• Detail-oriented with strong analytical and problem-solving skills.
• Effective communication and coordination skills to work with multiple stakeholders.
• Experience in industrial or large infrastructure projects is an advantage.
• Willingness to work at Tuas with transportation pick up at designated MRT station.

Job Description

• Develop detailed designs, layouts, and specifications for piping systems, ensure proper pipe support design based on piping loads, thermal expansion, and seismic considerations.
• Identify appropriate materials, ensure material compliance with project specifications, applicable codes, and standards such as ASME, ANSI, and local regulations.
• Work closely with process, mechanical, civil, and electrical teams to ensure piping systems are integrated seamlessly with other systems
• Coordinate with procurement, construction, and commissioning teams to ensure timely delivery and installation of piping systems
• Prepare piping-related project deliverables including technical drawings, specifications, data sheets, and material take-offs
• Liaise with suppliers for quotation and technical evaluation of quotation. Review and approve piping construction drawings, isometrics, and support drawings
• Lead piping design reviews, coordination meetings, and vendor technical discussions
• Manage piping engineering scope, schedule, and budget, ensuring project milestones are met

Requirements

• Degree in Mechanical / Piping Engineering
• For degree holder, minimum 5 years of experience in piping design and engineering. For Diploma holder, minimum 8 years of experience is required.
• For senior position, candidate must have at least 10 years of experience, including leadership or project management experience.
• Strong expertise in piping materials, piping arrangement, stress analysis, and design of piping systems
• Must be a self-starter and be able to work with minimal supervision, make sound decisions, take independent action, and provide focused solutions to assigned projects
• Possess strong inter-personal and communication skills and be able to work well with people at all levels in the organization
• Knowledge of international and local standards (e.g., ASME, ANSI, BS EN, PUB Singapore guidelines)
• Must have advanced computer literacy in commonly usedsoftware applications such as Navisworks, Bentley View, AutoCAD, piping engineering software, and MS Office
• Experience in process plant (such as wastewater treatment plant, sludge incineration plant, etc.) is preferred

Job Desctiption

• Coordinate steel structure works on site and ensure smooth execution.

• Liaise with consultants, main contractors, and site teams.

• Conduct site measurement and verify dimensions against drawings.

• Check and compare site conditions with drawings, highlight any discrepancies

• Assist in shop drawing review and ensure works follow approved drawings.

• Support basic safety submissions (e.g. RA / MS) when required.

• Attend site meetings and resolve coordination issues

• Monitor site progress, quality, and general site activities.

Requirements

• Diploma/Degree in Civil Engineering or related field.

• Minimum 2-5 years of site experience in construction (steel structure preferred)

• Able to read and understand construction drawings/shop-drawing/fabrication drawing

• Experience in site measurement is required.

• HDB project experience will be an advantage

• Good coordination and communication skills.

• Able to work in site environment.

The Group IT Data Team’s vision is to establish scalable, enterprise-grade AI solutions that enhance operational efficiency, unlock new business value, and accelerate digital transformation across business units. The team consists of forward-thinking engineers, data specialists, and technologists, working closely with business stakeholders to deliver impactful AI-driven solutions.

The AI Engineer is responsible for designing, developing, and deploying AI-driven applications, with a primary focus on Generative AI (GenAI) and Large Language Models (LLMs).

The role will collaborate with business and technology teams to identify use cases, translate requirements into AI solutions, and deliver scalable, secure, and production-ready applications. Over time, the role will also expand into broader machine learning and advanced analytics initiatives.

Responsibilities

• Design, develop, and deploy GenAI/LLM-based applications such as copilots, chatbots, search, and knowledge assistants.
• Work with enterprise platforms (e.g., Azure OpenAI, Azure AI Services, SAP AI capabilities) to build and integrate AI solutions.
• Translate business use cases into AI solution architectures, including prompt design, orchestration, and API integration.
• Able to conduct data analysis and data engineering/modelling to prepare data for model training.
• Develop and manage end-to-end AI pipelines, including data ingestion, preprocessing, embedding, model interaction, and output validation.
• Collaborate with cross-functional teams (business users, IT, vendors) to ensure AI solutions align with operational needs and enterprise architecture.
• Ensure responsible AI practices, including governance, security, data privacy, and model evaluation.
• Improve and maintain AI systems for performance, scalability, and cost efficiency.
• Stay updated with emerging AI technologies and continuously enhance the organization’s AI capabilities.
• Gradually expand into machine learning model development, predictive analytics, and advanced data science use cases.

Requirements

• Degree in Computer Science, Information Technology, Engineering, or equivalent, with at least 2–5 years of experience in software engineering, data engineering, or AI/ML-related roles.
• Hands-on experience or strong exposure to GenAI/LLM technologies (e.g., Azure OpenAI, LangChain, prompt engineering).
• Familiarity with cloud platforms (preferably Azure) and API-based system integration.
• Experience in programming languages such as Python, JavaScript, or similar.
• Understanding of data concepts including data pipelines, embeddings, vector databases, and APIs.
• Proficiency in advance SQL and major data platforms (relational, cloud data warehouse and big data tools)
• Strong problem-solving skills with the ability to translate business needs into technical solutions.
• Exposure to SAP ecosystem or enterprise systems integration is an advantage.
• Understanding of machine learning concepts and willingness to grow into ML model development.
• Strong communication skills and ability to work effectively in cross-functional teams.
• Self-driven, adaptable, and keen to learn emerging AI technologies.
  

Job Description

• Industry/ Organization Type: Building & Construction
• Position Title: Civil Engineer
• Working Location: Islandwide
• Working Hours: 5.5 days (Monday – Friday 8AM – 5PM, Saturday half day)
• Salary Package: Basic Salary up to $5,500 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Responsible for all on-site technical and engineering matters
• Participate in project planning and monitor progress and schedules, including preparing work plans, schedules, work procedures, safety analysis, clarifications, managing resources, and arranging procurement.
• Coordinate with clients, consultants, and sub-contractors on project matters, provide solutions, handle documentation, and attend progress meetings
• Ensure all work meets company quality standards and contractual requirements
• Assist the Project Manager with monthly progress claims and reports
• Ensure supervisors, foremen, workers, and sub-contractors meet client and regulatory work requirements
• Any other ad-hoc duties as assigned

APPLY NOW!!!

• Diploma/Degree in Civil Engineering or any equivalent discipline
• Minimum 2+ years of construction experience is preferred
• Experience of civil engineering works such as road works, earthworks, drainage works are an added advantage

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 #76392 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

Job Responsibilities:

- Design and develop mechanical components and systems for company products in accordance with technical specifications and safety standards

- Prepare detailed 3D models, assemblies, and engineering drawings using CAD software (SolidWorks)

- Support design reviews, engineering changes, and product improvement initiatives

- Perform engineering analysis to validate design integrity, strength, and performance

- Conduct and support testing activities, including functional, performance, and environmental tests

- Apply Finite Element Analysis (FEA) techniques to assess stress, deformation, and structural performance (advantage)

Job Requirements:

- Bachelor’s Degree in Mechanical Engineering or a related discipline.

- Experience in mechanical design and product development is preferred

- Proficient in SolidWorks for 3D modelling and mechanical design

- Knowledge or hands-on experience with Finite Element Analysis (FEA) tools is an advantage

- Understanding of mechanical engineering principles, materials, and manufacturing processes.

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.

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 Generative AI (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 partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

Qualifications

Job responsibilities

• Serve as a team lead and developer within the strategic AI partner for AI applications, working with the partner’s own teams to transition from rapid prototypes to production-grade, replicable agentic workflows (multi-agent systems, MCP servers) that drive measurable ROI.
• Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
• Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Cobuild with strategic AI partner’s own Forward Deployed Engineering teams to instill Google-grade development best practices, ensuring long-term project success and end-user adoption.
• Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on the ROI at customer engagements ensuring customer activation.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• 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.
• Experience leading technical discovery sessions with customers.

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).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Responsibilities

• Design and develop mechanical components, assemblies, and systems for advanced hardware products
• Create detailed 3D models, engineering drawings, and manufacturing documentation using CAD tools
• Support product development activities from concept, prototyping, testing, and validation through to production
• Conduct mechanical testing and analyse performance, reliability, and failure modes to drive continuous improvement
• Collaborate with cross-functional engineering teams to integrate mechanical, electrical, and software components
• Work with suppliers and manufacturing partners to optimise designs for quality, cost, and manufacturability
• Perform engineering calculations and analysis to support design decisions and product performance
• Maintain technical documentation including BOMs, drawings, specifications, and assembly instructions

Requirements

• Experience in mechanical design, product development, or engineering design environments
• Proficiency in CAD software such as SolidWorks or equivalent 3D design platforms
• Exposure to manufacturing processes such as CNC machining, sheet metal fabrication, additive manufacturing, or injection moulding
• Strong engineering fundamentals with the ability to solve practical design and integration challenges

Additional Information

• Exposure to robotics, automation, aerospace, semiconductor equipment, medical devices, or other advanced hardware industries will be advantageous
• Experience with FEA, rapid prototyping, testing, or product validation is a plus
• Opportunity to work on innovative engineering projects within a highly collaborative and fast-paced environment

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

• Well Established Company
• Basic $ 2000 to $ 3500 + Variable Bonus + AWS
• Excellent Welfare and Benefits + Career progression
• Working location: Northeast 
• 5 days’ work week (Normal Working Hours)

Job Responsibilities:

• Liaise and coordinate with clients, vendors, and internal teams on a regular basis in order to perform the assigned tasks
• Perform preventive and corrective maintenance to installed security systems, ELV, and controls & instrumentation systems and the related peripheral devices
• Attend urgent fault calls, troubleshoot, follow-up and resolve the issue
• Assist on the A&A, enhancement, and upgrading works related to the existing deployed system
• Monitor and maintain the minimum required to both clients and internally on a regular basis
• Assist on the claim preparation to clients

Requirements:

• Diploma in Electrical / Electronic Engineering or equivalent
• Possess own transportation would be an advantage

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 & Requirements

Responsibilities:

•  Take charge of all electrical and mechanical assemble issue
•  Take charge of all electrical accessories and wiring parts purchase loading
•  Liaise with subcontractors
•  Manager stock inventory level

Requirements:

•  Nitec equivalent or equivalent in Mechanical Engineering
•  Physically strong as parts / modules might be heavy
•  Working experience in both mechanical and electrical environments will be an advantage
• Open for contractual role

Ang Hoe Keong | EA Personnel Registration No.: R1106345

RS Recruitment Agency | EA License No. 17C8809

Job Description:

As a QEM PQE Electrical Failure Analysis (EFA) Engineer, you will be responsible for driving deep technical understanding and resolution of yield, quality, and reliability challenges for advanced NAND memory products manufactured in Fab10.

You will support both new product introduction (NPI) and high-volume manufacturing (HVM) by performing die-level electrical analysis, failure mode construction, and innovative characterization to enable robust product qualification and continuous yield improvement. Leveraging strong knowledge in device physics, probe testing, and wafer fabrication processes, you will identify root causes of electrical failures and translate insights into actionable test, process, and design improvements to enhance product performance and outgoing quality.

Job Responsibility:

• Perform electrical failure analysis (EFA) using bench characterization to identify failure mechanisms at die, circuit, and transistor levels

• Construct failure models and root cause understanding for yield excursion, reliability issues, and customer return cases

• Design and execute bench DOE and probe engineering experiments to validate hypotheses and drive yield/quality improvement

• Translate characterization results into test, process, or device optimization solutions to improve yield, reliability, and product quality

• Conduct circuit and layout tracing analysis to correlate electrical failure signatures to physical/process limitations

• Support NPI qualification and HVM issue resolution, ensuring timely product release and manufacturing stability

• Drive data-driven yield improvement programs through close collaboration with cross-functional teams (PI, TD, PE, TSE, YE)

• Troubleshoot complex issues across test conditions, probe limitations, and device design interactions

• Develop custom test conditions, scripts, and methodologies for advanced failure validation and experiment execution

• Contribute to process capability improvement and cost reduction initiatives by resolving abnormal manufacturing behaviors

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

  Requirements:

• Bachelor’s / Master’s Degree in Electronics/Microelectronics/Material Science/Physics/Applied Science

• Excellent problem-solving and analytical skills.

• Proven ability to communicate effectively both written and verbal to all level.

• Proven ability in multi-tasking complex projects and driving them to completion.

• Strong teamwork skills and the ability to build strong peer relationships

• Knowledge of Circuit analysis and layout tracing, Yield analysis and failure mechanisms

• Strong understanding of NAND memory operation and architecture, CMOS device physics and wafer fabrication processes

• Hands-on experience in Electrical failure analysis, bench characterization, Probe testing and test flow understanding, Data analysis and DOE methodology

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

• Embody Micron’s core values:
  People – Respect, develop, and empower others
  Innovation – Drive continuous improvement and breakthrough thinking
  Tenacity – Show grit and determination
  Collaboration – Build trust and foster teamwork
  Customer Focus – Deliver excellence and value

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment based on process specifications. 
• Ability to use computer-based programs and applications to perform daily work/duties.
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.
• Provide machine operations coverage and backup supports when necessary.

Requirements:

• Diploma/Degree in Microelectronics/Electrical/Mechanical/Chemical Engineering or equivalent.
• Understanding of semiconductor process - at least 1-3 years of experience in semiconductor processes (Photolithography, Dry/Wet Etch/Cleans, Thin Films, Diffusions, Chemical mechanical Polishing, Metrology, etc.)
• Able to perform independently yet working in a team. 
• Willing to perform in 12-hours shift working arrangement.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group
We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies. 

Infrastructure & Cybersecurity Resilience (ICR)
We design, build, and secure the technology foundations that power GIC’s global investment operations. We aim to deliver resilient, scalable, and secure infrastructure that empowers our people and businesses to perform securely, efficiently, and effectively.

What impact will you make in this role?

As a VP, SRE Engineer (Splunk), you will lead the design, implementation, and optimization of enterprise observability and reliability solutions across infrastructure and application domains. You will leverage Splunk and complementary monitoring platforms to drive proactive alerting, automation, and resilience - ensuring operational stability, risk control, and compliance with financial regulatory standards.
You will define and implement advanced SRE frameworks, establish Site Reliability metrics (SLOs, SLIs, Error Budgets), and build automation pipelines that enhance system reliability, reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR), and strengthen overall operational resilience across the organization.

What will you do as a VP, SRE Engineer (Splunk)?

Observability Engineering & Governance

• Architect and maintain enterprise SIEM solutions aligned with operational resilience mandates (e.g., MAS TRM, DORA, APRA CPS 230).
• Lead deployment, configuration, and optimization of Splunk for full-stack visibility across infrastructure, applications, networks, and user experience.
• Define and enforce telemetry data governance standards—metrics, logs, and traces—ensuring consistency, retention compliance, and security.
• Integrate Splunk with incident management, ITSM, and AIOps systems to enable predictive alerting and anomaly detection.
• Act as the SIEM/Splunk subject matter expert (SME) for architecture reviews, platform upgrades, and performance tuning.

Reliability Engineering & Automation

• Implement and champion SRE frameworks and reliability practices for mission-critical systems.
• Design and automate runbooks, alerts, and self-healing workflows using Python, Ansible, and Terraform.
• Collaborate with Application, Infrastructure, and Cyber teams to embed reliability principles into the delivery lifecycle.
• Conduct resilience, chaos, and capacity testing aligned with business continuity and disaster recovery standards.
• Define and track error budgets, reliability scorecards, and service health indicators for production workloads.

Cloud & Platform Integration

• Engineer SIEM for cloud-native workloads in AWS and Azure, ensuring visibility across compute, storage, and network layers.
• Integrate Splunk and cloud observability tools into CI/CD pipelines and landing zones to ensure continuous compliance.
• Implement infrastructure-as-code (IaC) models using Terraform and Ansible for consistent, auditable provisioning.
• Collaborate with Cloud, DevOps, and Security teams to ensure telemetry aligns with audit, compliance, and operational risk requirements.

Operational Excellence & Collaboration 

• Drive reduction in incident recurrence, MTTR, and manual intervention through observability-led automation.
• Partner with Service Delivery, Cyber, and Application teams to enable predictive incident prevention and root cause transparency.
• Develop and maintain executive dashboards and reports showcasing availability, reliability KPIs, and operational risk indicators.
• Provide technical leadership during major incidents, post-incident reviews, and audits, ensuring lessons learned are codified into automation and process improvements.

What makes you a successful candidate?

• Bachelor’s or Master’s degree in computer science, Engineering, or related discipline.
• 10+ years’ experience in Infrastructure, Cloud, or SRE roles, with at least 5+ years specializing in SIEM/Splunk engineering or observability in financial or regulated environments.
• Proven hands-on expertise in:

• SIEM Platforms: Splunk (must), EL/Elastic

  Automation / IaC: Terraform, Ansible, Python, CI/CD tools

  Cloud Platforms: AWS (CloudWatch, X-Ray, CloudTrail), Azure (Monitor, Log Analytics, App Insights), Datadog, ServiceNow 

• Deep understanding of SRE principles, service health modelling, error budgets, and auto-remediation design.
• Strong analytical and troubleshooting skills, with the ability to perform deep-dive investigations and develop long-term preventive solutions.
• Familiarity with financial sector operational resilience frameworks, regulatory compliance, and incident governance.

Preferred Certifications:

• Splunk Certified Power User / Splunk Certified Admin / Splunk Certified Architect
• Terraform / Ansible / Python Certified Expert
• AWS Certified DevOps Engineer / Azure DevOps Expert
• SRE Foundation / Practitioner (DevOps Institute)
• ITIL v4 Managing Professional

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact. 

GIC is a Great Place to Work

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise. 

GIC is an equal opportunity employer 
As an employer, we passionately believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of GIC teams to drive competitive performance. An inclusive environment yields exceptional contribution.

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/

To be considered for the role, please submit a formal application through the GIC Careers site at: https://careers.gic.com.sg/job-invite/17102/

• Provide presales technical support by designing and recommending suitable technology solutions that address clients’ business and technical requirements.
• Work closely with the sales team to analyze customer needs and propose effective cybersecurity and networking solutions.
• Deliver product presentations and live demonstrations to customers, partners, and internal teams.
• Prepare technical proposals, solution architectures, and compliance matrices for tenders and project bids.

Requirements:

• Diploma in IT or equivalent
• At least 2 years of presales experience within the IT networking and cybersecurity domain.
• Experience with technical presentations, product demonstrations, and proof-of-concept deployments.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

5 days, 8.30am-6.15pm

Salary: $3500- $6000

Location: Ubi 

Company background:

Specializes in Semiconductor Backend Tooling including Die Attach Tools, Wire Bond Tools & Bond Test Tools

Job Responsibilities:

• Design and development of Semiconductor Tools and mechanical systems.
• Planning, Scheduling and Costing of Tools and Mechanical Modules
• Responsible for 3D & 2D drawings, tolerance analysis, BOM preparation.
• Working closely with Electrical, Vision and Software Engineers.
• Willing to work extended hours in critical phases of project execution.

Job Requirements:

• Diploma or Degree in Mechanical Engineering or related Technical disciplines.
• Minimum 3 years of design experiences in semiconductor tooling
• Experience with Design and Development of High-Speed Pick and Place Systems, Flip Chip Bonders, Die Attach Machines, and Lamination Machine is a definite plus
• Proficiency with CAD Software is a must.
• Experience with vision application, thermal modelling, calculation and measurement techniques would be an advantage.

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. They are looking for a Mold Process Engineer (SPD Tester) to join their Engineering team. They are located in the (West) – easily accessible.

Responsibilities for Mold Process Engineer (SPD Tester):

• Provide engineering support for injection moulding, assembly, packaging, and manufacturing operations.
• Troubleshoot process, tooling, and equipment issues to improve production efficiency and minimise downtime.
• Analyse process variances and implement corrective actions to improve yield and process stability.
• Support process development, optimisation, and validation activities for new and existing products.
• Execute validation activities including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ).
• Conduct Design of Experiments (DOE), process studies, and technical evaluations to enhance process capability.
• Prepare and maintain Standard Operating Procedures (SOPs), validation reports, and technical documentation.
• Perform Process Failure Mode and Effects Analysis (pFMEA) and support continuous improvement initiatives.
• Work closely with Production, Quality Assurance (QA), Maintenance, and Engineering teams to ensure smooth manufacturing operations.
• Ensure manufacturing activities comply with ISO 9001, ISO 13485, and ISO 14001 standards.

Requirements:

• Diploma or Degree in Mechanical Engineering or related discipline.
• Minimum 3–5 years of relevant working experience in plastic injection moulding environment.
• Knowledge of validation protocols including IQ, OQ, and PQ.
• Familiar with Scientific Process Development (SPD) methodologies.
• Experience in DOE, process optimisation, and troubleshooting will be advantageous.
• Exposure to ISO 9001 and ISO 13485 environments will be an added advantage.

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 candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Key Responsibilities

• Design, deploy, and manage Kubernetes clusters using Rancher in production and non-production environments.
• Integrate and manage NeuVector for container security (runtime scanning, policy enforcement, vulnerability management, etc.).
• Implement platform automation using tools such as Terraform, Ansible, Helm, and CI/CD pipelines.
• Collaborate with security and networking teams to define and enforce policies across containerized platforms.
• Build and maintain observability (monitoring, logging, alerting) and operational dashboards.
• Work closely with development and DevOps teams to provide reliable platform capabilities.
• Participate in incident response, RCA, and performance tuning activities.
• Optionally contribute to HCI platform operations and VM orchestration if using Harvester.

Required Skills and Experience

• 6+ years of experience in DevOps, SRE, or Platform Engineering roles.
• Strong hands-on experience with Kubernetes architecture and operations (preferably K8s v1.20+).
• Experience managing production-grade Kubernetes clusters with Rancher.
• Solid understanding of container security best practices and operational experience with NeuVector.
• Proficiency in infrastructure as code (e.g., Terraform, Helm, Ansible).
• Experience with CI/CD tools such as GitLab CI, Jenkins, or ArgoCD.
• Good knowledge of Linux systems, networking, and shell scripting.
• Understanding of monitoring/logging tools such as Prometheus, Grafana, Fluentd, ELK, or Loki.

Nice to Have

• Experience with Harvester or other HCI platforms for VM management on bare metal.
• Familiarity with air-gapped or edge deployments.
• Exposure to hybrid/multi-cloud platform deployments.
• Certifications in Kubernetes (CKA/CKS), Rancher, or related technologies.

Key Responsibilities

• Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.

• Perform high‑volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.

• Drive electrical failure analysis, including  advance characterization, to identify root causes and solution spaces.

• Develop short‑term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.

• Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.

• Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high‑quality end products.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and aligning with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

• Support customer inquiries and provide technical insights related to product reliability.

• Drive critical initiatives to enhance the overall reliability program and influence the direction of future product development.
  

  Qualifications And Skills:

  • Bachelor’s degree  or Master’s degree  with of relevant experience in Electrical Engineering or related field

  • Knowledge in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.

  • Understanding in Design, Device Physics, Circuits,  Process.

  • Strong statistical analysis, communication, and problem‑solving skills.

  • Experience with application of AI tools, LLMs ,  data analysis tools (e.g., Python, JMP, Tableau).

  • Strong analytical and problem‑solving skills.

  • Team player and self driver.

Responsibilities

• Manage and support enterprise infrastructure across Windows and Linux environments
• Perform system administration tasks including health checks, patching, upgrades, and troubleshooting
• Monitor system performance and ensure high availability of infrastructure services
• Plan and execute patching activities following best practices and change management processes
• Deploy and configure servers and virtual machines to support application requirements
• Manage Active Directory, domain controllers, and core Wintel infrastructure
• Handle incident response, root cause analysis, and coordinate issue resolution with vendors
• Support system migrations, upgrades, and improvements to enhance performance and stability

Requirements

• Nitec, Higher Nitec, or Diploma in IT or related field with at least 2 years of experience in enterprise environments
• Hands-on experience with Windows servers, Active Directory, and basic Linux administration
• Familiar with patch management, system monitoring, and IT change management processes
• Exposure to virtualisation technologies (e.g. VMware, vSphere) and strong troubleshooting skills

Additional Information

• Exposure to enterprise IT environments with structured processes and systems
• Opportunity to work across infrastructure, virtualisation, and system operations

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856