Total 3,120 software test engineer job vacancies in Information Technology category

Job Responsibilities:

Hyperscale Server Design Engineer is responsible for designing, validating, and optimizing high-performance server hardware, racks, and infrastructure systems to support massive-scale cloud computing environments. Responsibilities include:

• Conduct server feasibility studies, define and maintain hardware architectures and solutions, and create execution plan.

• Design schematic, create BOM, support prototype/engineering build.

• Guide and work with PCB engineers on layout and placement.

• Design, deploy, and operate large-scale GPU-based compute environments, including optimizing network topologies like InfiniBand and Ethernet.

• Lead server validation and bringing up complex systems, including lab validation, SI/PI (Signal Integrity/Power Integrity) analysis, and debugging.

• Partner with software, datacenter engineering, mechanical and thermal, and vendor teams to ensure seamless hardware/software integration. Drive root cause analysis and corrective actions.

• Apply advanced knowledge of server energy efficiency and power redundancy to optimize for performance and cost.

• Work with manufacturing teams to resolve issues and to support NPI and production builds.

• Provide technical expertise and consultation to peers.

• Maintain consistent high quality of engineering design work to develop robust, high performance and cost effective designs and products.
  

Job Requirements:

• Degree/Master in Electrical/Electronic/Computer Engineering or equivalent

• Minimum of 5-10 years of experience in computer architecture, server design or hardware validation.

• Strong design experience and knowledge in any of the following:

  • Knowledge of GPU/CPU architectures, high-speed interfaces (QSFP-DD/OSFP) and memory interfaces such as DDRx DRAM, NAND/NOR/SPI Flash.

  • High speed interfaces including PCIe, NVLink, GbE, SAS, USB.

  • BMC implementations.

  • High DC voltage power designs and distribution, and thermal management.

  • High-speed Ethernet networking.

  • Experience with liquid cooling is an advantage.

• Understanding integration of software and hardware.

• NPI project execution experience and familiarity with Product Development Life Cycle will be desirable.

• Experience using CAD tools (e.g. Cadence Allegro, Mentor PAD).

• Experience with SI/PI simulation (e.g. ANSYS HFSS/SIWave) and lab equipment like high-speed oscilloscopes and VNAs are added advantage.

• Familiar with ISO9001.

• Troubleshooting skills in high-speed signaling, thermal or power delivery.

• Self motivated and willing to learn new technology and skills who works well under pressure.

• Excellent oral and written communication skills.

Job Responsibilities

Production Conditions and Standardization:

• Develop and uphold technical standards, work standards, Failure Modes and Effects Analysis (FMEA), and control plans.
• Manage tasks related to establishing and standardizing production conditions for FCBGA manufacturing.

Product Yield and Quality Stability:

• Oversee tasks aimed at improving product yield and maintaining quality stability.

Process Optimization:

• Set-up and optimize conditions for Automated Optical Inspection (AOI) processes for new product introduction and continuous improvement in mass production.

Yield Improvement:

• Conduct activities focused on investigating and implementing measures to improve yield and standardize these improvements.

Productivity Enhancement:

• Engage in activities to enhance productivity through standardization, review of work procedures, and automation of process checks.

Process Equipment Evaluation:

• Set up and evaluate AOI process equipment.

Inspection and Measurement Equipment Evaluation:

• Establish and evaluate equipment used for inspection, measurement, and analysis in the production process.

Process Change Management:

• Handle requests for process changes and manage their implementation.

Roadmap Verification and Implementation:

• Verify and implement roadmaps, including the verification of design rules and integration of new materials.

Customer Technical Meetings:

• Manage and conduct technical meetings with customers to address and resolve technical issues and inquiries

Perform any other ad-hoc duties as assigned by the Manager, as required to support the team and organizational goals.

Job Requirements

Professional Qualifications:

• Degree in Engineering or Science.
• Experience in substrate, PCB and semiconductor processes or production engineering is an advantage.
• Fresh graduates or candidates with 2–3 years of relevant experience are welcome.

Specialized Knowledge & Skills:

• Preferably with PCB manufacturing process background.
• Good knowledge in AOI/Metrology process.
• Experience in managing quality and productivity in production environments (preferred).
• Familiarity with measurement, analysis, and reliability evaluation tools (preferred).
• Basic understanding of substrate manufacturing processes (preferred).
• Good understanding of macro or programming is advantage

Competencies:

• Strong attention to detail and ability to work with precision.
• Excellent listening skills with the capacity to understand and address customer needs.
• Proficient in project management, with the ability to effectively plan and execute projects.

Main Responsibilities

• Develop and optimize 300mm Silicon Photonics (SiPh) technology platforms, including pluggable modules, co-packaged optics (CPO), and photonic interposer solutions.

• Collaborate with internal R&D and module engineering teams to define and execute SiPh process flows.

• Align device and process requirements with customers through technical discussions and solution deep dives.

• Coordinate with external OSATs and partners for PIC/EIC characterization and packaging integration.

• Apply DOE, FMEA, and control plan methodologies to ensure robust development and effective risk mitigation across all phases.

We’re looking for someone with:

• A bachelor’s degree in Electronics, Electrical Engineering, Physics, Materials Engineering, or a related field.

• At least 3 years of hands-on experience in Silicon Photonics (SiPh) R&D, process integration, or related areas.

• A strong background in SiPh process development, photonic IC packaging, optical device design, or characterization.

• Familiarity with foundry environments, including integration or module-level responsibilities.

• Proficiency in DOE, FMEA, control planning, and data-driven problem-solving.

• Excellent communication skills with the ability to collaborate effectively across teams and with external partners.

• A self-driven, curious mindset with a passion for innovation and continuous improvement.

About the team:

As a mobile software engineer, you will build and maintain a core app with millions of daily active users. You will work cross-functionally with design, product and other engineering teams to identify customer needs, and ship high-quality new features through fast iterations. This is an opportunity to learn the full life cycle of crypto mobile application including pro/retail trading, asset management and wallet.

Responsibilities:

• Develop new features for the all-in-one iOS and Android apps as part of a global mobile team.
• Strive for performance optimization and maximize customer satisfaction.
• Stay on top of industry trends, and evaluate new solutions to address our unique and fast-growing business needs.
• Work closely with design and product teams, and turn design ideas into quality features that scale to millions of users.
• Collaborate with global development teams, and deliver customized solutions targeting international users while maintaining consistency with the overall architecture.
• Maintain high-quality technical documentation and improve efficiency in cross-office/timezone cooperation.

Requirements:

• Experience in either native iOS/Android development, or cross-platform solutions like ReactNative/Flutter/Lua.
• Fluent with at least one of the following languages: Java/Objective-C/Swift/JavaScript.
• Understanding of common data structures and algorithms.
• Embrace agile development process including TDD, CI and Scrum.
• Passionate about mobile technology and building applications for a large user base.

CEI Reg No: R1104662
EA Licence No: 99C4599
EA Personnel: Celine Tan Si Ling

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

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Responsibilities:

• 2.5D/3DIC platform development.
• New unit module development and devices development.
• New process verification and qualification.
• New platform DSM setup
• Customer engagement and new product verification

Capability

• Solid semiconductor process integration and device characterization skills
• Semiconductor device physics and analysis skill.
• Experienced in 2.5D and 3DIC process development are plus.
• Skill on FMEA, control plan, DOE (design of experiment) and problem solving.
• Good communication, self-motived and avid learner

Qualification

• At least bachelor degree in microelectronics/electronics/electrical/physics/Materials engineering or other relevant fields.
• At least 10 years working experience in semiconductor R&D or related foundry experience of integration/process/device engineer.
• Working experience: 2.5D and 3DIC integration and device background are plus.
• Proficient English oral and writing skill.

About the Role

We are seeking System Engineers to support the design, implementation, administration, and maintenance of enterprise infrastructure environments supporting mission-critical operations.

This role offers the opportunity to work on large-scale infrastructure platforms, virtualization technologies, automation initiatives, and high-availability systems within a structured enterprise environment.

Both Junior and Senior System Engineers are welcome to apply.

Key Responsibilities

• Design, deploy, administer, and maintain enterprise infrastructure environments
• Manage Windows Server 2016/2019/2022 environments, Active Directory, Group Policy, DNS, DHCP, IIS, and related services
• Support and optimize VMware vSphere and/or Hyper-V virtualization platforms
• Monitor system health, performance, and availability to ensure operational stability
• Implement and maintain backup, recovery, and disaster recovery solutions
• Perform patch management, system hardening, vulnerability remediation, and security compliance activities
• Develop PowerShell scripts and automation solutions to improve operational efficiency
• Troubleshoot and resolve infrastructure-related incidents and technical issues
• Collaborate with cross-functional teams to support infrastructure projects and operational requirements
• Participate in system upgrades, capacity planning, and technology refresh initiatives
• Maintain technical documentation, operational procedures, and system configurations
• Provide technical guidance and knowledge sharing within the team
• Work with vendors and stakeholders to support infrastructure operations and enhancements

Requirements

• Minimum 8 years of hands-on experience in system administration and infrastructure management
• Strong expertise in Windows Server and Active Directory administration
• Hands-on experience with VMware vSphere or Hyper-V
• Experience in backup and disaster recovery solutions
• Strong PowerShell scripting and automation skills
• Experience managing high-availability enterprise environments
• Strong troubleshooting and problem-solving skills

Preferred Skills

• Microsoft Azure, AWS, or Google Cloud Platform
• Infrastructure as Code (IaC) tools and practices
• SCCM, WSUS, or equivalent patch management platforms
• Monitoring solutions such as Splunk, ELK, or Prometheus
• Linux/Unix administration experience
• ITIL service management knowledge
• Network and cybersecurity knowledge
• Relevant Microsoft, VMware, or infrastructure-related certifications

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

Job Description

• Industry/ Organization Type: Construction
• Position Title: Technical Engineer
• Working Location: Boon Lay
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.30pm)
• Salary Package: Basic salary up to $4,500 + Variable Bonus
• Duration: 2-years Contract (Convertible to Permanent)

Key Responsibilities

• Prepare technical reports, design calculations, and specifications
• Create 2D and 3D drawings as needed
• Plan and oversee engineering projects
• Conduct feasibility studies and technical assessments, including site investigations
• Carry out site inspections and investigations as required
• Coordinate and communicate with clients, authorities, architects, engineers, contractors, and suppliers to resolve design and development issues
• Conduct research and gather data for projects and Capstone initiatives
• Ensure project compliance with current codes of practice and legal requirements
• Attend training courses provided by the company

APPLY NOW!!!

• Bachelor’s degree in civil & structural engineering, or relevant discipline
• Recognised qualification by the Professional Engineers Board Singapore (PEB) preferred
• Experience in restoration, civil or structural engineering design, or project management is an advantage
• Proficient in Microsoft Office and engineering design software
• Able to perform engineering hand calculations to relevant codes (BS/EC)
• Experience with CAD or BIM is preferred
• Willing to travel as required

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 #65005 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 | Angel Lim | EA Reg No.: R1769781

About the Role

We are looking for a technically strong and analytically driven Data Engineer / Analyst to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

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

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

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

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Job Responsibilities:

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Qualifications:

• Bachelor’s Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

You will be a key technical reference for the design,implementation, and day‑to‑day operations of our global network and securityinfrastructures, supporting a highly distributed, international environment.

Role Synopsis and profile

As a Network & Security Expert within the Corporate IT Infrastructures team, you will:

Design & operate network infrastructure

• Design, implement, and operate LAN/WAN architectures
• Manage and optimize cloud connectivity (interconnection with public clouds)
• Act as Routing (BGP) expert, ensuring performance, resilience, and scalability
• Contribute to the design, rollout, and tuning of SD‑WAN solutions
• Lead regional network projects and collaborate with international IT teams

Design & operate security infrastructure

• Operate and improve firewalling solutions in line with IT security policies
• Manage and secure IPSec / SSL VPN for remote sites and users
• Contribute to SASE architecture design, deployment, and operations

Operations & Performance

• Operate network, security, and related system components on a daily basis
• Monitor infrastructure health and performance (capacity, latency, availability)
• Proactively identify bottlenecks and implement optimizations and improvements
• Ensure a high level of availability and service continuity for critical services

Incident & Problem Management

• Acknowledge, qualify, and categorize incidents and service requests
  
• Troubleshoot complex network and security issues (L2–L4+)
  
• Coordinate escalation to internal and external experts/vendors when necessary
  
• Contribute to root‑cause analysis and long‑term corrective actions

Support & Collaboration

• Provide Level 3 expertise and support to local IT teams worldwide
  
• Advise users and managers on new products, solutions, and best practices
  
• Train IT staff and key users on network and security solutions
  
• Work closely with cross‑functional project teams (infrastructure, applications, security, etc.)

Documentation & Governance

• Produce and maintain up‑to‑date technical documentation (diagrams, procedures, standards)
  
• Contribute to the definition and application of IT policies and standards
  
• Provide regular reporting to Infrastructure Managers (status, risks, improvements)

Requirements:

• 15 years of experience in network and security engineering/operations in large complex environments (multisite, international, hybrid cloud).
• Degree in computer Science or equivalent, industry certifications desirable
• Strong expertise in routing protocols, especially BGP
• Solid experience with SD WAN solutions with various manufacturer standards, Paloalto, Cisco, Velo Cloud etc.
• Good knowledge of cloud connectivity (interconnection with major cloud providers)
• Strong understanding of LAN/WAN architectures, VLANs, QoS, redundancy, and high availability
• Hands on experience with firewalls (design, policies, troubleshooting)
• Proficiency in VPN technologies: IPSec and SSL
• Knowledge and practice of SASE concepts and solutions
• Good understanding of security best practices in network design and operations

• Location: Tagore Lane
• Monday - Friday: 8 AM - 5.30 PM

Our client specializing in process control instrumentation, valve automation, and flow solutions.

We are expanding our footprint in Southeast Asia and looking for a Sales Engineer who thrives in a client-centric environment. If you’re someone who enjoys building long-term customer relationships over transactional selling — this role is for you!

Key Responsibilities:

1. Nurture and grow existing client relationships (80% account management, 20% new business development).
2. Identify and negotiate new business opportunities within the region.
3. Attend tender site shows, evaluate technical requirements, and prepare customized proposals.
4. Collaborate closely with internal project and technical teams to deliver innovative solutions.
5. Analyze market trends and competitor activity to improve product positioning and strategies.
6. Plan and execute go-to-market strategies for assigned product lines.
7. Produce technical content such as white papers, product briefs, and presentations.
8. Conduct technical presentations and product training for internal teams and customers.

Job Requirements:

• Diploma/Degree in Engineering, IT, or a related discipline.
• Minimum 3 years of experience in Sales, Business Development, or Applications Engineering in Industrial IoT / Control & Automation.
• Strong interpersonal and communication skills with a consultative approach.
• Technically savvy and able to articulate solutions clearly to stakeholders.
• Self-driven and structured in managing multiple client accounts and timelines.
• Comfortable with occasional regional travel (approx. once every 2-3 months).

Ready to Grow with Us?

Apply now and become a part of a company where technical expertise meets real-world impact.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Stafflink Services Pte Ltd

EA Licence No.: 04C4294

EA Personnel: Chua Xue Min (Joesefyn)

EA Personnel Reg. No.: R23113090

Network Engineer (Contract)

• Design, develop, and maintain scalable data pipelines and data processing frameworks.
• Build ETL/ELT solutions to ingest, transform and process structured and unstructured data.
• Develop high-performance data workflows using Python, Spark and distributed computing technologies.
• Implement data models, data lakes, warehouses and Lakehouse architecture.
• Develop and support data pipelines powering AI/ML models and analytics solutions.
• Partner with Data Scientists to produce machine learning models.
• Build feature engineering pipelines and reusable ML datasets.
• Implement MLOps practices, including model deployment, monitoring and lifecycle management.

Skills/Requirement -

• Strong hands-on experience in Data Engineering.
• Hands-on experience building large-scale data pipelines.
• Strong programming experience with Python.
• Experience working with cloud-based data platforms.
• Exposure to AI/ML model lifecycle and MLOps practices.