Total 109 Engineering job vacancies

• MNC Company
• Basic $3500 - $4000 + Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Lorong Chuan
• Working hours: Monday to Friday (8.45am to 5.45pm)

Job Responsibilities:

• Handles end user requests for hardware and software for supported clients.
• Troubleshoots technical issues and provides user support through timely problem ticket resolution
• Updates, tracks, and maintains assigned support tickets
• Escalates incidents and service requests as appropriate to ensure timely resolution
• Maintains site documentation and maintenance records
• Provides IT infrastructure support for warehouse and logistic projects
• Contributes to desktop and laptop software upgrades and refresh initiatives
• Work with third party vendors to resolve hardware and software issues.
• Performs other duties as assigned.

Job Requirements:

• Possess minimum Bachelor's Degree in IT / Computer Science or equivalent with 1-3 years of relevant experience.
• Experience in Azure cloud services, Intune device management, and Microsoft Copilot adoption is 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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

About the Organisation

Our client is an organisation at the forefront of national digital transformation, with capabilities spanning data science and AI, application development, smart city technology, digital infrastructure, and cybersecurity — and a clear mandate to build technology that improves lives at scale.

About the Division

This role sits within a Healthcare Technology division that operates like a modern product organisation, embedded closely with public healthcare agencies and statutory boards. The team builds and maintains digital platforms that directly serve Singapore's public healthcare sector — including patient-facing registries, national claims platforms, and compliance systems.

The Role

As an Engineering Manager, you will own the technical direction, design, implementation, and delivery of products across one or more squads. You'll sit at the intersection of engineering leadership and product thinking — guiding teams, driving quality, and shaping the long-term technical roadmap.

What You'll Do

• Define and communicate your team's engineering vision and strategy, aligned to broader organisational goals
• Partner with product, design, and cross-functional stakeholders to manage roadmaps and deliver incrementally and efficiently
• Own the long-term technical roadmap for your squads, keeping it current against evolving product, security, compliance, and infrastructure needs
• Drive cross-squad technical alignment and establish shared practices, tooling, and quality standards
• Set norms for AI-assisted development — including guardrails, code review standards, and quality benchmarks
• Lead structured 1:1s and performance conversations; mentor and develop engineers at all levels
• Own quality, reliability, and security strategies within your team
• Contribute to senior hiring and recruitment efforts
• Proactively identify and drive high-impact engineering initiatives

What They're Looking For

Technical

• Proven track record leading and delivering technically complex products
• Experience with large-scale, high-availability software systems
• Solid full-stack depth across modern technologies:Frontend: Next.js / React.js / Nuxt / Vue.jsBackend: Java / TypeScript / Node.js / Golang
• Strong knowledge of SQL and NoSQL databases and data modelling
• Cloud platform experience — AWS preferred; Azure or GCP also relevant
• Experience with observability and monitoring tooling (e.g. ELK stack, CloudWatch)
• Bonus: legacy system modernisation experience

Leadership & Mindset

• Demonstrated people leadership across multiple squads or levels — including developing senior talent, navigating performance challenges, and building a culture of ownership
• Excellent communication skills — able to influence senior stakeholders, facilitate trade-off discussions, and translate strategy into actionable engineering direction
• Deep commitment to engineering craft: code quality, system design, holding teams to a high bar
• Strong product mindset — customer-centric, data-driven, comfortable partnering with PMs as a peer
• Comfortable with ambiguity; drives clarity without waiting for direction
• Actively engaged with the evolving tech landscape, including AI-assisted development tools

What's On Offer

• Meaningful work with genuine public impact
• Flexible work arrangements
• Comprehensive benefits package
• A culture that values diverse perspectives and continuous learning

ST
Reg No. R1768414
BeathChapman Pte Ltd
Licence no. 16S8112

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. State-of-the-art expertise across, Large Language Model (LLM) Integration, prompt engineering strategies and templates, retrieval-augmented generation (RAG) and agentic system etc.
• AI Ops. Responsible for integration, deployment and monitoring of Generative AI products and solutions. Enabling data architecture and delivery of data-analytics AI platforms and Solutions- on-premises, cloud, and hybrid ensuring adherence and conformance to Nomura standards and policies
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience in designing and developing AI agents or chatbots using Large Language Models (LLM), RAG, and agentic frameworks.
• Hands-on experience in building context-aware dialogue systems with multi-turn conversation management features.
• Demonstrated experience in developing and maintaining APIs and SDKs for integration of Generative AI services.
• Experience in developing and deploying scalable, fault-tolerant microservices and server-side APIs using modern frameworks and best practices.
• Proven experience in deployment automation using CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies and enterprise integration standards.
• Proficiency in programming languages such as Python, SQL, and Unix scripting for AI and data processing workflows.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Proficiency in React with hands-on experience in UI development a plus.
• Experience collaborating with global and cross-functional teams across different regions and time zones to deliver AI solutions.
• Demonstrated ability to manage multiple concurrent AI projects and meet delivery timelines in dynamic environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, including the ability to document and present complex concepts.
• Demonstrated analytical skills to assess technical problems, evaluate data-driven insights, and recommend actionable solutions.
• Experience reviewing system requirements, identifying optimization opportunities, and proposing enhancements aligned with organizational goals.

Education and experience

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering /Gen AI, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Computer Engineering, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 11821

Advanced Hardware & Emerging Technology

Our client is an innovative technology company developing next-generation communication and sensing solutions. Due to business expansion and ongoing R&D initiatives, they are looking for a passionate and hands-on Senior Electronics Engineer to join their growing engineering team in Singapore.

This opportunity is ideal for engineers who enjoy solving complex technical challenges, working on advanced hardware platforms, and contributing to cutting-edge product development in a highly collaborative environment.

Key Responsibilities

• Design, develop and test electronic hardware systems and subsystems
• Perform analog and digital circuit design, verification and troubleshooting
• Develop and optimize sensor interface and signal conditioning circuits
• Design and validate PCB layouts, including high-speed and mixed-signal designs
• Collaborate with multidisciplinary engineering teams throughout the product development lifecycle
• Conduct hardware integration, debugging, validation and performance testing
• Prepare technical documentation, test reports and engineering specifications
• Support continuous product improvement and technology development initiatives

Requirements

• Degree or Master's in Electrical Engineering, Electronics Engineering or related discipline
• At least 3 years of relevant electronics design experience
• Strong knowledge of analog and digital circuit design
• Experience with PCB design, testing and troubleshooting
• Familiarity with communication protocols such as SPI, I2C, USB, UART or CAN
• Hands-on experience with laboratory instruments and hardware validation activities
• Strong analytical and problem-solving skills
• Ability to work independently and within multidisciplinary project teams

Preferred Experience

Candidates with experience in any of the following areas will have an advantage:

• High-speed electronics
• Signal processing
• FPGA development
• Sensor technologies
• Optical or photonic systems
• Embedded systems
• Precision instrumentation
• Semiconductor or advanced technology industries
• R&D or product development environments

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

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/

Introduction/overview
The Senior Systems Engineer role sits within the infrastructure team and focuses on endpoint management, collaboration platforms, and enterprise user technologies, with a strong emphasis on security, reliability, and continuous improvement.

Responsibilities
You will take a hands-on role in administering and optimizing endpoint environments across Windows, macOS, iOS, and Android platforms using enterprise tools such as Intune, SCCM, and Group Policy (GPO).

The position involves managing virtual desktop environments, overseeing software deployment and patching strategies, and strengthening endpoint security controls.

You will partner closely with L1 support team as an escalation point for L2 issues, performing root cause analysis and driving resolution.

You will evaluate and implement new technologies to improve digital workplace capabilities, while supporting collaboration platforms including Microsoft Teams, Slack, and enterprise messaging systems.

You will support documentation as well as creating SOPs.

Requirements
You hold a Bachelor's Degree in Information Technology, Computer Science, or a related discipline, with at least 4 years of experience in enterprise endpoint management and technical support.

You bring strong hands-on expertise in Microsoft technologies, including Intune, SCCM, Azure Active Directory, and endpoint security solutions.

You are a structured problem solver with solid troubleshooting and analytical skills, and comfortable working in a fast-paced environment with cross-functional teams. 

You are interested in emerging technologies, stay up to date with industry trends, and recommend relevant improvements where appropriate.

To apply, please apply directly or submit your resume to Claudia at cd@kerryconsulting.com. We regret that only shortlisted candidates will be notified.

License No: 16S8060 / Registration No: R26161178

Basic Mechanical Engineering knowledge
Electrical Engineering knowledge
Troubleshooting skills

Will be trained on semiconductor machine, specifically scanning electron microscope. To understand how the machine works and to troubleshoot issues with the machine. Will also be exposed to skills required to repairs parts of the machine.

To be acclimatized with semiconductor work environment, cleanroom practices and better understanding of semiconductor machines.

Individual needs to be eager to learn, able to analyze situations and make sound conclusion knowledge in basic mechanical and electrical engineering

Fresh graduate from ITE or Polytechnic are welcome to apply

Salary will be commensurate with skill and experience

5 days' work week

Key Highlights | AI Algorithms Engineer (PHD Holder Only)

• 5 Work Days Per Week
• Office Near to Kaki Bukit MRT, Singapore
• Relocate Near Tai Seng MRT in August / September 2026
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing projects on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities:

1. Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems.
2. Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
3. Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
4. Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products.
5. Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company's competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition.
6. Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders.

Job Requirements:

• Min Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field.
• Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations.
• Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills
• Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc.
• Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems.
• Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus
• Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus.
• Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.
  
  

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions.

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Capacity Engineer (Data Center) role for our client in Singapore which is a leading global investment bank. The Data Centre Capacity Engineer is responsible for capacity planning and management across data centres and network equipment rooms.

This role ensures sufficient space, power, and cooling are available to support current operations and future growth, while maintaining resilience, compliance, and cost efficiency.

Key Responsibilities

Capacity Planning & Management

• Plan and manage data centre and network room capacity covering space, power, and cooling.
• Develop short‑, medium‑, and long‑term capacity forecasts based on IT demand and growth projections.
• Support phased load planning (e.g. IT load ramp‑up by phase).

Infrastructure Assessment

• Evaluate electrical infrastructure including UPS, transformers, PDUs, generators, and redundancy (N, N+1).
• Assess cooling infrastructure such as CRAH/CRAC units, chillers, and cooling towers to support projected IT loads.
• Identify capacity constraints, single points of failure, and mitigation options.

Design & Setup

• Support data centre and network room design, layout, and rack planning.
• Review and validate load calculations for electrical and cooling systems.
• Ensure new deployments align with data centre standards and best practices.

Tools & Inventory

• Maintain accurate capacity data in DCIM and asset management tools (e.g. Nlyte, Remedy).
• Validate inventory accuracy and ensure alignment between physical assets and system records.

Governance & Operations

• Support Method of Procedure (MOP) reviews related to capacity upgrades and changes.
• Work closely with Operations, Facilities, Network, Hosting, and Governance teams.
• Provide input to vendor designs, tenders, and technical reviews.

Reporting & Stakeholder Management

• Produce regular capacity reports and dashboards for management.
• Communicate risks, constraints, and recommendations clearly to stakeholders.

Required Skills & Experience

• Strong understanding of data centre power and cooling infrastructure.
• Experience in capacity planning for data centres and network rooms.
• Familiarity with redundancy concepts and resilience standards.
• Experience with DCIM and asset management tools.
• Ability to work across IT, facilities, and vendor teams.

Preferred Qualifications

• Background in data centre operations, facilities engineering, or infrastructure planning.
• Experience supporting large‑scale or regulated enterprise environments (e.g. financial institutions).

We are seeking a talented DevOps Engineer to join our team and play a key role in the ongoing development, maintenance, and support of StackOps. You will be responsible for ensuring the platform’s scalability, performance, and security

12 months contract – renewable based on project /performance.

Job Responsibilities

• Participate in the design, development, and deployment of new features, functionalities and maintenance of the StackOps platform.
• Collaborate with DevOps engineers to manage configurations and integrations for monitoring solutions (E.G. Elastic Cloud, AWS, Azure, GCP and etc)
• Implement and maintain best practices for security, scalability, and performance of the StackOps platform.
• Proactively identify and implement improvements to enhance the scalability and reliability of the platform
• Provide technical support using StackOps, including onboarding, troubleshooting, and configuration guidance.
• Stay up-to-date on the latest cloud technologies and monitoring best practices relevant to StackOps.
• Continuously improve documentation and develop training materials for StackOps users.

Job Requirements

• Proven experience in platform engineering, cloud operations, or a related field
• Strong understanding of monitoring tools, methodologies and configurations management
• Experience with infrastructure automation tools (e.g., Ansible, Terraform)
• Familiarity with DevOps principles and practices
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication and collaboration skills

Bonus Points

• Experience on OpenTelemetry implementations
• Experience with StackOps or similar monitoring platforms
• Programming proficiency in languages like NodeJS, Python or Go

.NET Engineer (12-Month Renewable Contract)

Role Overview

The successful candidate will play a key role in the development, enhancement, and support of mission-critical applications built on .NET, C#, Angular, and SQL Server platforms. You will collaborate closely with Agile teams, contribute to technical design and implementation, and ensure the delivery of high-quality, scalable, and maintainable software solutions.

Key Responsibilities

• Participate in the design, development, enhancement, and maintenance of enterprise applications using .NET technologies (C#), and SQL Server.
• Collaborate with cross-functional Agile teams to identify and resolve technical impediments, ensuring smooth project delivery.
• Perform hands-on development for new features while supporting and enhancing existing business-critical applications.
• Provide production support, troubleshoot incidents, and serve as a technical subject matter expert for application-related issues.
• Drive best practices in software development, including code quality, maintainability, performance optimization, and reuse of components.
• Identify opportunities to streamline processes and reduce duplicated code and development efforts.
• Work closely with Project Managers, Business Analysts, and stakeholders to ensure alignment with project objectives and timelines.
• Review technical documentation, architecture diagrams, and implementation deliverables to maintain quality standards.
• Participate in code reviews, testing activities, deployment planning, and continuous improvement initiatives.

Requirements

Minimum 5 years of hands-on experience in software development using the Microsoft .NET technology stack, including .NET Framework 4.5 and above.

Proven experience working on Public Sector or Government projects.

Strong proficiency in:

• C#
• ASP.NET / ASP.NET MVC
• Angular / AngularJS
• SQL Server
• JavaScript, jQuery, and AJAX

Experience with source/version control systems (e.g., Git, Azure DevOps, TFS).

Solid understanding of software development lifecycle (SDLC), Agile methodologies, and DevOps practices.

Experience in application support, troubleshooting, and production incident management.

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in high-performing, collaborative teams throughout the full development lifecycle.

Experience with effort estimation, project planning, and technical documentation.

Able to commence employment within short notice.

Job Responsibilities:

- Responsible for the structural design, development, and optimization of products, ensuring that the products meet functional, cost, manufacturing process, and quality requirements;

- Conduct analysis and selection of structures and materials, perform strength, stiffness, and tolerance analysis;

- Participate in the entire process from design to mass production, solving technical issues during design and production;

- Prepare and review product design-related technical documents, including drawings, BOMs, etc.;

- Support project management and client communication according to project requirements, and drive project progress.

Job Requirements:

- Bachelor’s degree or above in Mechanical Design & Automation or related fields;

- Over 5 years of experience in structural design, with a preference for candidates with experience in the medical device industry;

- Proficiency in English as a working language, with strong written and verbal communication skills in English;

- Familiarity with the design and manufacturing processes of plastic and metal parts, as well as knowledge of injection molding, stamping, and die casting processes;

- Strong tolerance analysis capabilities, with the ability to independently complete structural strength and stiffness analysis;

- Excellent teamwork and communication skills, with the ability to actively coordinate cross-departmental work.

• 5 Work Days Per Week
• Current Office Near to Kaki Bukit MRT
• Will Relocate To Tai Seng MRT in August 2026
• Medical & Dental Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Current Teams are focusing on AI Agent, Computer Vision, Vision Language Models (VLMs)

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 
   

   
   Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

   Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. 

   Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

• Support theproduction of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical datascience models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugsthat arise in the process.
• Work in a teamsetting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with therelevant software platforms in which the models are deployed.

Mandatory Skills Description:

• Minimum of 6 to 9 years of experience to implement the solution
• Multi-Agent System Design & Orchestration
• Full-stack AI Integration (Frontend to Backend)
• AI Safety, Guardrails & Governance
• Enterprise Application Integration & AI Orchestration
• High-Scale Vector Database Management
  
  
  

All the responsibilities we will trust you with:

• Installation, maintenance and servicing of a wide variety of equipment including but not limited to:

1. General security systems
2. Alarm systems
3. CCTV systems
4. Access control systems

• Troubleshoot problems encountered on site.
• Diagnose and resolve issues related to network connectivity, server performance, and communication between security systems (e.g., CCTV, alarm systems, access control systems).
• Provide feedback to management on issues faced on the ground.
• Perform routine maintenance and firmware updates on servers, network devices, and security system software to ensure systems remain reliable and up to date.

Your areas of knowledge and expertise that matter most for this role:

• Candidate must possess at least a Professional Certificate/ NiTEC in Engineering (Electrical/Electronic) or equivalent.
• 2 years of working experience in the related field is preferred for this position.
• Candidate must possess a Class 3/Class 3A driving license.

JobDescription

1.     Responsible for the availability, performance optimization, and continuous delivery of the pharmaceutical collaboration SaaS platform hosted on AWS.

2.     Handle operational incidents and requests, continuously improving operational service capabilities through effective solutions, covering day-to-day operations, storage, networking, databases, and middleware.

3.     Stay updated with new public cloud operation technologies and drive their adoption to enhance overall operational efficiency and capabilities.

4.     Write and maintain infrastructure operations documentation, including technical documents in both English and Chinese.

Collaborate with global teams, using both Chinese and English for technical communication, issue alignment, and reporting.

Who are we looking for?

Someone with
1.      3+ years of hands-on Linux system operationsexperience.

2.     Familiar with SaaS platform architecture; experience in small to medium-scale cluster operations is a plus.

3.     Proficient in capacity planning, architecture design, performance tuning, andoperations automation.

4.     Experienced with EKS, messaging and caching middleware (e.g., Redis, Kafka); hands-on experience with AWS public cloud services (EC2, S3, VPC, etc.) is preferred.

5.     Basic database operations capability – familiar with relational databases such as MySQL/PostgreSQL, able to work with development teams on backup &recovery, slow query analysis, high availability configuration, and other common database operational tasks.

6.     Proficient in at least one scripting or programming language (Shell, Python,Go); DevOps experience is a plus.

7.     Strong communication awareness, service orientation, sense of responsibility, proactiveness, and team spirit.

Fluent in both English and Chinese; excellent written and spoken communication skills in both languages, able to write technical documents, participate in technical meetings, and collaborate with overseas teams in English.

Key Responsibilities

• Supervises an engineering group with specific responsibility for mechanical systems and equipment design function, staffing, technical mentoring as required within the engineering group, staff professional and personal development, and budget adherence.  Also, technically lead and/or execute engineering projects

• Ensures customer satisfaction via on time delivery of product releases in accordance with predetermined requirements and prompt resolution of complex issues of difficult scope for range of products

• Ensures the integration of engineering resources with cross-functional teams to meet objectives and product goals of difficult scope

• Interfaces with internal and external customers regarding complex mechanical issues for range of products

• Ensures that all projects and programs assigned are completed in accordance with predetermined requirements, with specific attention to product/process specifications, project/program costs, resource utilization, and timeless completion

• Generate and define product specifications and coordinate/execute the engineering development of difficult scope

• Effectively assigns work to subordinate staff, providing for professional development in addition to maximum productivity for the area

• Ensures that all phases of project, program, and/or process development are documented and that information required in other functional areas is reported, disseminated, or transferred, as appropriate.  Ensures compliance with Company policies regarding safety, Engineering/Lab notebooks, patents, and confidentiality and safety

Minimum Qualifications: 

• PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering

• More than 7 years of relevant experiences in semiconductor equipment design or troubleshooting experiences with at least 3 years of leadership experiences

• Subject-matter expertise with CAD software, thermodynamics, sheet metal design, material selection, manufacturing methods, GD&T, flow analysis and/or Design for Excellence principles 

• Proficient in simulation and analysis methods (FEA, thermal analysis and tolerance analysis)

• Strong in the following fields: Thermal, Compressible flow, Engineering Design, Machining & manufacturing processes

• Ability to craft clear engineering documentation

• Ability to form effective cross-functional relationships and to communicate product design/mechanical requirements clearly to non-experts

Work Location

• Fusionopolis @One North

Role Responsibilities:  

• Identify and troubleshoot a wide range of complex mechanical problems with limited to no supervision 

• Lead or execute engineering projects, including the development of key suppliers 

• Develop, design, or modify engineering layouts, schematics, or drawings/specifications of complex scope 

• Communicate with internal and external customers regarding a wide range of complex mechanical issues for specific projects 

• Implement concepts for a range of complex product issues and solutions 

• Design, develop and implement custom mechanical tooling, fixturing and associated processes; enable the handling, assembly and/or disassembly of parts, components, sub-assemblies, and final assemblies; establish standards across operational processes; serve as a technical expert on specialized projects or programs 

• Generate product specifications 

• Define, coordinate, perform and generate engineering test reports; specify and review engineering documentation; specify or perform complex engineering analysis  

• Clearly communicate complex concepts and influence various perspectives

Minimum Qualifications: 

• PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering

• 7-10 years of relevant experiences in semiconductor equipment design or troubleshooting experiences

• Subject-matter expertise with CAD software, thermodynamics, sheet metal design, material selection, manufacturing methods, GD&T, flow analysis and/or Design for Excellence principles 

• Proficient in simulation and analysis methods (FEA, thermal analysis and tolerance analysis)

• Strong in the following fields: Thermal, Compressible flow, Engineering Design, Machining & manufacturing processes

• Ability to craft clear engineering documentation

• Ability to form effective cross-functional relationships and to communicate product design/mechanical requirements clearly to non-experts

Work Location

• Fusionopolis @One North

Key Responsibilities

• Develop and execute complex projects that have a substantial mix of electrical, mechanical, physics, algorithms and software design; attend design reviews and provide input to meet market requirement specifications (MRS) and hardware/software specifications. Ensure designs meet market requirement specifications (MRS). Coordinate with project marketing and management to understand system requirements. Be able to chair architecture brainstorming meetings and drive the systems process to down select to a final architecture of a top-level system.

• Participate in the design, development, and testing of radio-frequency components for semiconductor equipment, which includes high-power generators (up to 6 kW or more), matching networks, filters, or other tuning elements, with frequencies ranging from 300 kHz to 60 MHz.

• Write detailed specifications that cover all aspects of subsystem modules including interfaces to the product by using systems analysis to create a diagram. Create concepts for complex architectural design approaches.  Lead team evaluations of architectures to provide recommendation for best system solution approach.

• Ability to fabricate or modify RF components to change their performance or enable access for instrumentation.

• Ability to instrument, characterize and troubleshoot RF sub-systems within larger semiconductor tool environment.

• Problem identification and troubleshooting a wide range of difficult, complex engineering problems in field of technical expertise, including serviceability and manufacturability.

• Support System Integration during the assembly and final testing of new product designs.

• Interface with other groups to workout design, systems architecture development and integration issues.

• Define all equipment interfaces and systems architecture and ensure they are up to date and documented.

• Work with vendors to develop design requirements and ensure delivery of parts that meet specifications.

Requirements

• PhD/ Master/ Bachelor’s degree in Electrical or Mechanical Engineering with few years of relevant RF experiences

• Understand principles and operation of network analyzers, oscilloscopes, power meters, directional couplers, and other radio-frequency test equipment

• Knowledge of circuit theory and ability to develop analytical models of RF components

• Problem-solving and troubleshooting skills

• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of internal and external stakeholders

• Self-starting individual, proactive and resourceful

Work Location

• Fusionopolis @One North

Role Overview

We are seeking a highly skilled and experienced Dot NET Engineer to join our team for a large scale support maintenance project. The ideal candidate will have a strong background in .NET technologies, including C#, Angular, and SQL Server, and will be part of the development team, ensuring the successful delivery of the project, and maintaining high standards of software quality.

Responsibilities

• Part of the development team on core .NET platforms, including C#, Angular, and SQL Server.
• Collaborate with Agile team members to mitigate any technical impediments.
• Provide hands-on new development as well as support, maintain, or enhance existing applications.
• Participate in production support for incidents and act as an expert technical resource to others on new technologies and design techniques.
• Enforce the reduction in duplicate processes and code.
• Communicate with project managers on a frequent basis and review and approve documentation and diagrams created by IT team members.
• Manage the queues of BUA/RTB work and ensure the successful delivery of the project.

Requirements

• Minimum of 5 years of experience working on the .NET platform, including experience with .NET 4.5.
• Must have worked in Public Sector or Gov projects.
• Strong knowledge of version control systems, web development experience, and project estimating and planning.
• Desired skills include JQuery, JavaScript, AJAX, ASP.NET, ASP.NET MVC, and AngularJS.
• Experience working in high-performing teams through the entire development lifecycle.
• Able to commence within short notice

Desired Certifications

• ITIL, AWS, CSM, MCSD, TOGAF, GCP.

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Key Responsibilities

• Design, develop, and maintain applications using C#, .NET Framework (.NET 4.5+), frontend frameworks, and SQL Server in a production-critical environment.
• Take end-to-end ownership of assigned modules, including development, enhancements, and defect resolution.
• Provide L2/L3 production support, including incident troubleshooting, root cause analysis (RCA), and permanent remediation.
• Manage and prioritise high-volume work queues / operations tasks, ensuring SLA compliance.
• Drive code quality and maintainability, including refactoring and reduction of technical debt.
• Collaborate with cross-functional teams to resolve integration and system dependencies.
• Review and approve technical designs, code, and documentation, ensuring adherence to standards.
• Proactively identify risks and recommend improvements to enhance system performance, stability, and observability.
• Utilise monitoring and logging tools to detect issues early, analyse system behaviour, and improve reliability.

Mandatory Requirements 

• 6–8+ years of hands-on experience in .NET development within enterprise systems.
• Strong backend expertise in:C#, ASP.NET / MVC (mandatory)SQL Server /Oracle DB (query optimization, indexing, performance tuning)
• Frontend experience in:AngularJS OR ReactJS (mandatory at least one, hands-on)Exposure to modern frontend frameworks is an advantage
• Proven experience in:Application Maintenance & Support (AMS) / production support environmentsIncident management, RCA, and issue ownership
• Mandatory experience in Public Sector / Government projects
• Experience in domain systems such as healthcare, insurance, or other large-scale transactional systems is strongly preferred
• Strong understanding of:Multi-tier architecture and system integrationsSecure coding practices
• Hands-on experience with:Version control (Git / TFS)Structured release/delivery processes (CI/CD exposure preferred)Monitoring and observability tools (e.g., logging, alerting, performance monitoring)
• Strong problem-solving mindset with excellent investigation and troubleshooting skills, with the ability to analyse complex issues, identify root causes, and implement effective resolutions in production environments
• Proven ability to operate effectively in SLA-driven environments
• Familiarity with AWS or Azure cloud environments
• Able to join within short notice (preferred: ≤ 1 month)

Advantageous Skills

• Experience in large-scale, high-transaction systems
• Exposure to microservices or API-driven architectures
• Experience with advanced monitoring, logging, and performance tuning tools

Behavioural Expectations

• Strong ownership and accountability mindset
• Ability to work independently and manage priorities effectively
• Proactive communicator with stakeholders and project managers
• Capable of guiding junior developers and enforcing best practices
• Comfortable operating in a fast-paced AMS/support environment
• Demonstrates a systematic and analytical approach to problem-solving under pressure

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

JOB SUMMARY:

Assistant Process Engineer with process engineering experience to join VTFS Engineering team. The candidate in this position will assist with process engineers which enables the features of future generations of products. They apply manufacturing, engineering, and technological principles to the development of new equipment, procedures, and processes.

MAIN DUTIES AND RESPONSIBILTIES
1.   Assist the engineer with process development

2.   Assist the engineer with new product development

3.   Assist the engineer with cost calculation and cost down

4.   Assist the engineer with project management

5.  Communication with customers and suppliers

6. Deal with SAP and NCC system

COMPETENCIES/ JOB SPECIFICATIONS
1.   Investigation, equipment, process and material development for new concepts and advanced technology

2.   Able to understand productivity and industrial knowledge

3.   Knowledge on ISO Standards

4.   Demands broad technical strengths, together with excellent communication and organizational skills

5. Work ability of materials (Metals, alloys, ceramics, etc)

MINIMUM QUALIFICATION AND WORK EXPERIENCEREQUIRED
1.   Candidate must possess at least bachelor’s degree/Polytechnic Diploma/Professional Degree in Chemistry/Materials Engineering or equivalent

2.   Fresh graduates are welcomed

3.   Understand SAP and NCC system (BOM, Part number, Process flow)

4. Proficiency in Excel

Job Summary

We are seeking a Forward Deployed Engineer to work closely with customers to design, implement, and deploy technical solutions that solve complex business challenges. This role combines software engineering, solution architecture, consulting, and stakeholder management, requiring the ability to translate customer requirements into scalable, production-ready systems. You will partner with cross-functional teams to deliver high-impact solutions while driving adoption, integration, and long-term success.

Responsibilities

• Partner directly with customers to understand business requirements and technical challenges.
• Design, develop, and deploy scalable software solutions in customer environments.
• Build integrations, APIs, data pipelines, and automation workflows to support business objectives.
• Collaborate with product, engineering, and implementation teams to deliver successful outcomes.
• Translate complex business problems into technical solutions and system designs.
• Troubleshoot and resolve technical issues across applications, infrastructure, and integrations.
• Drive solution adoption through technical guidance, best practices, and stakeholder engagement.
• Contribute to product improvements by providing customer feedback and implementation insights.
• Create technical documentation, architecture diagrams, and deployment plans.
• Support multiple projects while managing priorities and timelines effectively.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
• Experience in software engineering, solutions engineering, implementation consulting, or a related role.
• Strong programming skills in one or more languages such as Python, Java, Go, JavaScript, or C++.
• Experience working with APIs, databases, cloud platforms, and distributed systems.
• Ability to understand complex business requirements and translate them into technical solutions.
• Strong problem-solving, analytical, and troubleshooting skills.
• Excellent communication and stakeholder management abilities.
• Experience working directly with customers and cross-functional teams.
• Ability to operate in fast-paced environments with a high degree of ownership and autonomy.
• Experience with AI, data platforms, cloud technologies, or enterprise software is advantageous.

Responsibilities:

• Perform daily SAP operations.
• Formulate reasonable production plans based on market sales forecasts to meet customer demand with the most economical inventory.
• Optimize production plans, regularly analyze plan execution status, and drive improvements in plan execution rate to ensure delivery performance.
• Improve production efficiency (OEE).
• Manage and plan the procurement of operation-related production materials.
• Handle logistics for wafers, production-related materials, parts, and finished goods.
• Develop production material plans to ensure the timely completion of production tasks and the rationality of material inventory levels.
• Any other ad-hoc tasks as assigned. 

Requirements:

• Minimum Bachelor in a Science or Engineering field.
• Experience in logistics planning / supply chain management (experience in 6/8-inch FAB or similar environment is preferred).
• Strong communication skills to communicate effectively with stakeholders
• Proficient in Windows operating systems and Office software.
• Skilled in using material management systems such as SAP & ERP.
• Proficient in SQL and Python.
• Fresh graduates are welcome to apply