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

Job Description & Requirements

• Design, develop, test, and maintain applications using Node.js and Python
• Build and manage RESTful APIs and microservices architecture
• Work extensively in Linux/Unix environments for development and deployment
• Write efficient, reusable, and scalable code following best practices
• Collaborate with cross-functional teams (Product, QA, DevOps)
• Troubleshoot, debug, and optimize application performance
• Manage application deployments, monitoring, and log analysis on Linux servers
• Work with databases (SQL/NoSQL) to design efficient schemas
• Ensure application security, reliability, and scalability
• Bachelor’s degree in Computer Science or related field
• 4+ years of experience in backend development
• Strong expertise in:Node.js (Express.js / NestJS)Python (Django / Flask / FastAPI)
• Hands-on experience with Linux/Unix systems

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Designs, analyzes, develops, modifies and evaluates power electronic parts, components, sub-systems, algorithms, or integrated circuitry for electrical/electronic equipment and other hardware systems. Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs. Assists in architecture development and assessment. Evaluates reliability of materials, properties, designs, and techniques used in production. May direct support personnel in the preparation of detailed design, design testing and prototype fabrication.

Management Level Definition:

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary. Might act as project lead and provide assistance to lower level professionals. Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

Responsibilities:

• Responsible in designing and implementing analog and power circuits, conducting design validation test and working cross functionally with other development groups.
• Research and enable innovative solutions for cost, size, power efficiency and reliability, including filing patents and enabling next generation technology.
• Generate design documentations, perform schematic capture, design board layouts, circuit bring-up.
• Solves complex technical issues, owns the technical aspects of assigned responsibility, including investigations and root cause analysis of field escalations.
• Plan and schedule to meet goals, deliverables and deadlines.
• Provides guidance and mentoring to less- experienced staff members.

Education and Experience Required:

• Bachelor's or Master's degree in Electrical Engineering.
• Typically, 4-6 years' experience.

Knowledge and Skills:

• Highly proficient in power electronics and DC/DC converters implementation.
• Strong circuit analysis and synthesis skills.
• Experience with PCA development, analog simulation and debugging tools.
• Excellent understanding of the characteristics of power semiconductors/passives and principles of switching regulators.
• Using empirical analysis, modeling and testing methodologies to validate component, circuit, and hardware designs and thermal/emissions management
• Excellent written and verbal communication and inter-personal skills to enable global and cross-functional engagements.
• Ability to effectively communicate power architecture, design proposals and negotiate options at management levels.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

We're looking for an analytical and detail-oriented Senior System Engineer to join our dynamic team in Singapore. In this role, you will be responsible for designing, implementing, and maintaining comprehensive system infrastructure that supports our enterprise operations. The ideal candidate will demonstrate exceptional organizational skills, innovative thinking, and a commitment to system reliability and performance. You will work collaboratively with cross-functional teams to ensure our infrastructure meets current and future organizational needs while maintaining the highest standards of security and efficiency. 

• Design, deploy, and manage enterprise system infrastructure across multiple environments, including on-premises, hybrid cloud, and cloud-native deployments 

• Administer and maintain Windows Server environments, Active Directory, Group Policy, and related infrastructure services 

• Manage virtualization platforms (VMware/Hyper-V) and optimize virtual machine performance and resource allocation 

• Monitor system performance, analyze metrics, and implement optimization strategies to ensure peak operational efficiency 

• Develop and maintain comprehensive backup and disaster recovery solutions to ensure business continuity and resilience 

• Implement and manage patch management processes, security updates, and system hardening procedures in compliance with organizational policies 

• Create and maintain PowerShell scripts, Infrastructure as Code (IaC) tools, and automation solutions to streamline routine administrative tasks 

• Troubleshoot complex system issues and provide technical support to resolve infrastructure problems with decisiveness and transparency 

• Collaborate with IT teams, security personnel, and stakeholders to ensure compliance with security policies, industry standards, and best practices 

• Participate in capacity planning, infrastructure upgrades, and technology assessments to support organizational growth and innovation 

• Document system configurations, procedures, architectural decisions, and best practices for knowledge management and team reference 

• Provide technical leadership and mentorship to junior team members, fostering a collaborative and supportive environment 

• Manage vendor relationships and evaluate emerging technologies to enhance system capabilities and efficiency 

Qualifications Required 

 Qualifications: 

• 8+ years of hands-on experience in system administration and infrastructure management 

• Strong expertise with Windows Server 2016/2019/2022 and Active Directory environments 

• Proficiency in virtualization technologies (VMware vSphere or Hyper-V) 

• Solid knowledge of DNS, DHCP, IIS, and file/print services 

• Experience designing and implementing backup and disaster recovery solutions 

• Proficiency in PowerShell scripting and automation 

• Knowledge of patch management and monitoring tools (SCCM, WSUS, or equivalent) 

• Understanding of cybersecurity best practices, system hardening, and compliance requirements 

• Experience in high-availability and disaster recovery environments 

• Strong analytical and problem-solving skills with the ability to troubleshoot complex infrastructure issues 

• Excellent organizational and documentation skills - Demonstrated ability to work collaboratively in team environments  

Preferred Qualifications: 

• Experience with cloud infrastructure platforms (Microsoft Azure, AWS, or Google Cloud Platform) 

• Familiarity with Infrastructure as Code (IaC) tools and practices 

• Knowledge of monitoring and logging solutions (ELK Stack, Splunk, Prometheus, or similar) 

• Experience with IT Service Management (ITIL) frameworks 

• Vendor management and technical leadership experience 

• Cross-platform system administration experience (Linux/Unix) 

• Network infrastructure and security knowledge 

• Relevant certifications such as Microsoft Certified: Windows Server Hybrid Administrator Associate, VMware Certified Associate, or equivalent 

• Experience with incident management and change management processes 

What’s in It for You?

Join an Industry Leader | MNC/Listed, Established & Respected
Competitive Salary: : Up to $5000+ AWS + Bonus
Work-Life Balance OR Work Schedule: 8 AM - 5.30 PM (Mon – Fri)
Work Location: Tuas (Shuttle service provided- Joo Koon Mrt)

Our client is seeking a System Field Engineer ( Radar ) to join their team!

Your Role, Your Influence:

Responsibilities:

• Install, configure, and commission cutting-edge systems at customer sites.

• Perform maintenance and troubleshooting to ensure optimal system performance and reliability.

• Provide technical support and training, delivering exceptional customer experiences.

• Diagnose and resolve hardware and software issues with minimal downtime.

The Ingredients for Success:

• Diploma, ITE, or Degree in Electronics Engineering or a related field.

• Experience in maintenance, troubleshooting, or technical support is preferred.

• Comfortable with field-based work, standby duties, and hands-on technical tasks.
  

Click Apply Now to upload your updated Resume/CV, and take the first step toward an exciting new career!

Only shortlisted candidates will be contacted.

Chong Zhe Hui

Registration No: R1984570

EA Licence no.: 14C7121

We are seeking an experienced Telecommunications Engineer to support offshore and LNG-related projects, focusing on installation, commissioning, and maintenance of telecom and integrated systems.

This role is suited for a senior engineering professional with strong hands-on experience across telecom, electrical, and automation systems in marine or offshore environments.

Key Responsibilities

• Installation, testing, and commissioning of telecom systems including: PABX, IP Telephony (Cisco) CCTV, PAGA systems V-SAT and network infrastructure
• Support integration of telecom systems with electrical and automation systems
• Troubleshoot and resolve technical faults across telecom and IT networks
• Coordinate with vendors and project teams on upgrades and modifications
• Prepare technical documentation, reports, and commissioning records
• Support system upgrades, drydock activities, and offshore installations
• Ensure compliance with safety and operational standards

Requirements

• Degree in Electrical / Telecommunications Engineering or equivalent
• Minimum 15 years relevant experience in: LNG Vessel offshore / marine environments
• Strong technical knowledge of: Telecom systems (PABX, CCTV, PAGA, networks) Electrical and automation systems
• Experience with commissioning, upgrades, and system integration
• Familiar working in multinational environments
• Strong troubleshooting and communication skills

Preferred

• Experience with HV systems, automation platforms (ABB, Siemens, Kongsberg, Honeywell)
• Background as ETO / Telecom Engineer in LNG offshore vessel

Brunel International S.E.A Pte. Ltd. UEN No: 199603098R. EA License No: 16S8067 Reza Johannes - R1871121

ROLE / JOB SUMMARY:

The Snr/ Technical Service Engineer shall be responsible to lead and perform the Field Services and

manage the Project implementation of our Product and Solutions. He shall also be involved in the tender preparation for the Service function.

MAIN RESPONSIBILITIES AND TASKS:

• Attend project progress meetings with consultant, general contractor on technical service document submission.
• Perform and Manage installation, testing and commissioning, live cutover to site acceptance testing on our Products and Solutions during project implementation.
• Perform and Manage maintenance and support services including attending call-outs when activated.
• Conduct training for customer and internally to the service technicians in improving their skills and knowledge.
• Generate project and service documentation for tender submission.
• Conduct site assessment, generate proposal and cost sheet.
• Be point of contact on technical and quality improvement between the customer, internal team and regional office.
• Coordinate with customer and perform time & materials services or any ad hoc services upon instruction from Supervisor.
• Perform standby duties 24x7.

ADDITIONAL RESPONSIBILITIES AND TASKS, if appl.:

• Conduct training for the department periodically.
• Assist the manager to assess competency internally in the department and external contractors/ ASP.
• Generate project and service templates.

QUALIFICATIONS & QUALITIES:

• Diploma/ Degree in Electrical Engineering or relevant discipline.
• Experiences in Electrical, Power Supply, Energy Storage System (DC Chargers/ UPS/ Batteries and Mechanical such as Cooling, piping systems.
• Experiences in Controllers.
• Experiences in Data Centre is an advantage.
• Ability to read single-line and schematic diagrams.
• Possess IT networking knowledge.
• Possess valid driving license. Energetic and able to work at outdoor sites.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Technical Sales Engineer
• Working Location: Joo Koon
• Working Hours: 5 days (8am-5.30pm)
• Salary Package: Basic Salary $4,000 + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Respond to customer inquiries via the portal or email.
• Download, update, and track customer product Bill of Material (BOM), drawings, specifications, and revisions.
• Prepare sales quotes, proposals, and tender documents during the request-for-quotation (RFQ) stage.
• Verify compliance with specifications before submitting proposals to customers.
• Calculate costs for materials, machining, cladding, and other related expenses for quotes.
• Ensure quotes are competitive and maintain a healthy profit margin.
• Follow up on proposals to secure orders from clients.
• Create and distribute a Sales Order Job Launch upon receiving purchase orders.
• Manage active sales orders and delivery schedules.
• Build and maintain good customer relationships to enhance satisfaction.
• Coordinate with other departments to compile and submit necessary documentation (e.g., pre-production, final product, concessions/non-conformances).
• Maintain positive communication with customers regularly.

APPLY NOW!!!

• Diploma or Bachelor's Degree in Mechanical Engineering or related field.
• Highly motivated and driven.
• Excellent interpersonal and communication skills.
• Team player with good analytical and problem-solving abilities.
• Capable of handling ad-hoc projects and multitasking.
• Proficient in MS Office tools.
• Knowledge or interest in oilfield components and equipment is a plus.

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 #73467 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

Job Description & Requirements

Position Summary

We are seeking a highly skilled Network Security Engineer with Subject Matter Expert (SME)–level expertise in AlgoSec Security Management solutions. The ideal candidate will have expert-level hands-on experience with AlgoSec firewall automation and integration with multiple firewall platforms including Palo Alto, Check Point, Cisco FTD, and FortiGate. This role also requires strong hands-on expertise with enterprise firewalls and will be responsible for firewall rule migrations, automation, and Day 2 operations support in the Network Security domain.

Key Responsibilities

- Serve as SME for AlgoSec, including design, implementation, customization, and ongoing optimization.
- Perform end-to-end firewall rule automation and policy management using AlgoSec.
- Integrate AlgoSec with multiple firewall platforms such as Palo Alto, Check Point, Cisco FTD, and FortiGate.
- Lead and execute firewall rule migrations between different firewall vendors.
- Provide Day 2 operational support for network security infrastructure with a primary focus on firewalls.
- Troubleshoot complex firewall and policy-related issues across heterogeneous environments.
- Collaborate with network, cloud, and application teams to support secure connectivity requirements.
- Ensure compliance with security policies, audit requirements, and industry best practices.
- Create and maintain technical documentation, SOPs, and operational runbooks.

Required Technical Skills

- Expert-level hands-on experience with AlgoSec Firewall Analyzer, Fire Flow, and AppViz (or equivalent modules).
- Strong hands-on expertise with Palo Alto and/or Check Point firewalls (SMElevel preferred).
- Experience working with Cisco FTD and FortiGate firewalls.
- Proven experience in firewall policy design, optimization, and cleanup.
- Strong understanding of network security concepts including ACLs, NAT, VPNs, and routing.
- Experience with firewall rule migration projects across multiple vendors.
- Familiarity with automation, APIs, and integration with ITSM tools is a plus.

Preferred Qualifications

- Industry certifications such as PCNSE,PCCSE, CCNP Security, Fortinet NSE, or AlgoSec certification.
- Experience supporting large enterprise or service provider environments.
- Exposure to cloud security platforms and hybrid network environments.
- Strong analytical, troubleshooting, and problem-solving skills.

Soft Skills

- Strong communication and stakeholder management skills.
- Ability to work independently and lead technical initiatives.
- Detail-oriented with a strong focus on operational excellence and security compliance.

Job Description & Requirements

Position Summary

We are seeking a highly skilled Network Reliability Engineer (NRE) with strong hands-on experience across hybrid and cloud network environments, including on‑premises data centers and AWS/Azure cloud platforms. The role focuses on reliability, availability, scalability, automation, and observability of network and security platforms using NRE/SRE principles, CI/CD practices, and deep API-driven integrations. Also has performed Network domain automation using Ansible Automation Platform

Key Responsibilities

• Own end‑to‑end reliability and performance of hybrid and cloud-connected network services.

• Apply Network Reliability Engineering(NRE) principles to reduce operational toil and improve service resilience.

• Design, implement, and continuously improve highly available hybrid and cloud network architectures.

• Perform deep technical troubleshooting and root cause analysis for complex network and security incidents.

• Build automation and self‑healing workflows supporting Day‑1, Day‑2, and Day‑N operations.

• Integrate infrastructure changes into CI/CD pipelines with proper testing, validation, and rollback.

• Define, monitor, and improve SLIs, SLOs, and error budgets for network services.

• Partner with cloud, security, application, and platform teams to meet business KPIs and KRAs.

Ansible :

· Develop, maintain, and optimize Ansible playbooks, roles, and inventories to automate network device configuration, deployment, and operational activities across multi-vendor environments. 

· Automate routine network tasks such as configuration management, backups, compliance checks, firmware upgrades, and provisioning to reduce manual effort and improve reliability. 

· Translate network SOPs, runbooks, and BAU activities into reusable Ansible-based automation workflows(Infrastructure-as-Code) for scalable and consistent execution. 

· Implement event-driven and self-healing automation by integrating Ansible playbooks with monitoring systems, APIs, and ITSM tools to enable automated remediation and faster incident resolution. 

· Ensure network consistency and compliance by using Ansible to validate device state, detect configuration drift, and enforce standardized configurations across network infrastructure. 

Hybrid, Cloud & Data Center Networking

• Hands‑on experience supporting Cisco ACI fabrics integrated with hybrid connectivity models.

• Strong working knowledge of Cisco IOS‑XE and Cisco NX‑OS in enterprise and data center environments.

• Experience managing Cisco Wireless LAN Controllers (WLC).

• Practical experience with AWS networking including VPC design, routing, security groups, NACLs, Transit Gateway, VPN, and Direct Connect.

• Practical experience with Azure networking including VNets, UDRs, NSGs, VPN Gateway, ExpressRoute, and Azure Firewall.

• Understanding of hybrid connectivity patterns such as internet, MPLS, site‑to‑site VPN, client VPN, and secure cloud access.

Network Security & Proxy Platforms

• Hands‑on experience with enterprise firewalls: Check Point, Palo Alto, and Cisco Firepower (FTD).

• Experience using Algo Sec for firewall policy lifecycle management and automation across hybrid and cloud environments.

• Strong expertise with proxy and secure web gateway solutions including Bluecoat ProxySG (SGOS), BMC, and CAS.

• Cloud‑delivered security experience with Zscaler ZIA, ZPA, and ZTNA supporting hybrid and remote access models.

Application Delivery & Traffic Management

• Hands‑on experience with F5 VELOSchassis.

• Strong expertise in F5 LTM, GTM, and APM modules.

• Experience designing resilient application delivery for on‑prem and cloud workloads.

Monitoring, Observability & Telemetry

• Hands‑on experience with Datadog for monitoring hybrid and cloud network services.

• Experience with Cisco DNA Center (DNAC)for assurance and network automation.

• Experience with Forescout for network visibility, device profiling, and compliance.

• Strong experience building dashboards and alerts using Prometheus and Grafana.

Automation, CI/CD & Engineering Skills

• Strong experience with Ansible for network and security automation.

• Hands‑on experience integrating GitHub for version control, peer reviews, and change traceability.

• Experience building CI/CD pipelines for infrastructure and network changes.

• Experience using REST APIs, SDKs, CLI tools, and GUIs to integrate network, security, and cloud platforms.

• Experience developing tools, services, or dashboards using Python and Django.

• Ability to implement Infrastructure as Code (IaC) and automated validation workflows.

Skills & Competencies

• Strong reliability engineering mindset with focus on automation and scalability.

• Proven experience operating production hybrid and cloud network environments.

• Excellent troubleshooting and analytical abilities.

• Ability to translate business KRAs into measurable technical reliability objectives.

• Strong documentation, collaboration, and communication skills.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.

• 7–12 years of experience across Network Engineering, Network Security, Cloud Networking, or NRE/SRE roles.

• Relevant certifications (CCNP/CCIE,AWS/Azure Networking, PCNSE, CCSA/CCSE, F5) are a plus.

Work Environment

This role includes on‑call rotations, participation in major incident response, CI/CD-driven change management, and collaboration with global teams supporting enterprise hybrid and cloud network platforms.

About Us:

Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.

Role Overview:

As an Embodied AI Research Engineer, you'll develop the learningsystems that enable robots to understand, reason, and act in the physicalworld. You'll work at the intersection of Vision-Language-Action models,reinforcement learning, and real-world robotics, building end-to-endintelligence that translates perception into robust robot behavior. From modeldesign and training to deployment on physical robots, your work will directlyshape the capabilities of next-generation embodied AI systems operating in realenvironments.

What you'll work on

1.                         Develop and deploy intelligent algorithms for real-world roboticsystems, with a focus on Vision-Language-Action (VLA) models and reinforcementlearning (RL);

2.                          Design and implementend-to-end learning systems from perception to decision-making and control,improving generalization and task success rates in complex real-worldenvironments;

3.                          Lead or contribute to thetraining, evaluation, and deployment of VLA models in robotic applications,including data pipeline design, model architecture, and inference optimization;

4.                          Develop policy learningalgorithms using reinforcement learning (RL), imitation learning (IL), orrelated methods, ensuring stable execution on real robotic platforms;

5.                          Drive Sim-to-Real transfer,addressing challenges such as domain gaps, policy stability, and safety inreal-world deployment;

6.                          Collaborate closely withperception, simulation, and system engineering teams to close the loop betweendata, models, and system performance;

7.                          Build reproducible trainingand evaluation pipelines, and continuously improve robustness, stability, andefficiency in real-world deployments;

8.                          Stay up to date withstate-of-the-art research (e.g., VLA, Embodied AI, Foundation Models) andtranslate advances into practical robotic applications.

Technical Requirements

Must Have

1.                         PhD in Computer Science, Robotics, Artificial Intelligence, or arelated field;

2.                          Strong foundation in machinelearning and deep learning, with deep expertise in reinforcement learning (RL),imitation learning (IL), or related areas;

3.                          Experience inVision-Language-Action (VLA) or Embodied AI research or engineering;

4.                          Proficiency in at least onemajor deep learning framework (e.g., PyTorch or TensorFlow), with strongimplementation skills;

5.                          Familiarity with key roboticslearning challenges, such as policy learning, generalization, and Sim-to-Realtransfer;

6.                          Experience deployingalgorithms on real robotic systems, or a strong interest in bridging researchand production;

7.                          Strong problem decompositionskills and system-level thinking, with the ability to drive algorithmdeployment in complex systems;

8.                          Strong communication andcross-functional collaboration skills.

Nice to Have

1.                         Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR,CVPR, CoRL, RSS);

2.                          Hands-on experience deployingalgorithms on real robotic platforms (e.g., manipulation or navigation);

3.                          Experience training oroptimizing large-scale models (e.g., foundation models or VLA models);

4.                          Experience deployingreinforcement learning in real-world systems (beyond simulation-only work);

5.                          Experience with large-scaledata pipelines, dataset construction, or automated labeling;

6.                          Experience with multimodallearning systems (vision-language-action);

Your Impact

1.                         You'll help define and deploy the intelligence stack behindnext-generation embodied robots, enabling them to perceive, reason, and act incomplex real-world environments.

2.                         Your work will bridge cutting-edge AI research and real-world roboticdeployment, transforming state-of-the-art models into reliable roboticcapabilities.

3.                         You'll advance the practical application of Vision-Language-Actionmodels, reinforcement learning, and foundation models in real robotic systems.

4.                         You'll play a key role in building scalable learning systems thatimprove robot generalization, adaptability, and autonomy across a wide range oftasks and environments.

Why Join Us

Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.

Location

This role is based on-site in Singapore, working closely with theengineering team and robotic systems.

Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.

How to Apply

Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.

We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.

About the Role

We are seeking a skilled QA Engineer with at least 3 years of hands-on experience in software testing. You will play a key role in ensuring product quality through effective test planning, execution, and automation.

The ideal candidate is detail-oriented, proactive, and experienced in both manual and automated testing. You should also be comfortable leveraging AI tools to improve testing efficiency, coverage, and overall delivery quality.

Key Responsibilities

• Analyse business requirements, functional specifications, and user stories to define test scope and identify risks

• Develop comprehensive test plans, test cases, test data, and execution schedules across web and mobile applications

• Execute various test types including functional, integration, regression, smoke, sanity, performance, and basic security testing

• Document test results and prepare clear, professional test reports for stakeholders

• Manage defects end-to-end: log, track, retest, and close issues with clear reproduction steps and evidence

• Design, maintain, and execute automated test scripts using tools such as Selenium, Playwright, Appium, or PyTest

• Support User Acceptance Testing (UAT) including preparation, facilitation, and feedback consolidation

• Collaborate with developers, business analysts, and product owners to enhance product quality

• Leverage AI tools for test case generation, automation, defect analysis, test data creation, and reporting

• Continuously improve testing processes, automation coverage, and QA standards

Requirements

• Minimum 3 years of experience in QA, Software Testing, or related roles

• Degree in IT, Computer Science, Software Engineering, or a related field

• Strong hands-on experience in:

  • Test planning, test case design, and reporting

  • Functional and regression testing (web and/or mobile)

• Good understanding of:

  • SDLC, STLC, Agile methodologies, and defect lifecycle

  • Performance testing concepts (load, stress, response time)

  • Basic security testing concepts (authentication, authorization, OWASP basics)

• Experience with automation tools/frameworks (e.g. Selenium, Playwright, Appium, PyTest)

• Strong adoption mindset and practical experience with AI tools in software testing

• Excellent English communication skills, with confidence in stakeholder engagement and UAT facilitation

Why Join Us

• Exposure to AI-enabled QA practices and modern automation tools

• Opportunity to work on diverse projects across web and mobile platforms

• Collaborative and growth-focused environment

• Continuous learning and improvement culture

Nice to Have

• ISTQB certification or equivalent

• Experience in CI/CD, DevOps, or cloud platforms

• Additional exposure to performance or security testing tools

Interested candidates who wish to apply for the above positions, please click "Apply now" or email to yilei.wong@neutron.sg

We regret that only shortlisted candidates will be notified.

☑ Good Bonuses

☑ Near MRT

☑ Family Friendly Environment

Job Description:

• Lead a team of developers to design, develop, and deliver high-quality software solutions aligned with product specifications and project timelines.
• Collaborate with solution architects to design scalable, secure, and maintainable systems using modern architectural patterns such as microservices and event-driven architectures.
• Establish and enforce development standards including coding practices, documentation, version control, testing, and code reviews to ensure high-quality deliverables.
• Act as the primary technical point of contact for stakeholders, supporting project planning, requirement analysis, system integration testing, and issue resolution.

Requirements:

• At least a diploma with 6 years software development experience.
• Strong Java expertise with Spring Framework and REST APIs.
• Experience with web, cloud, and DevOps tools (Angular/React, Docker, Kubernetes, CI/CD).
• Knowledge of microservices and messaging systems (Kafka, MQ, etc.).

To apply, please include the following details inside your CV for faster processing:

• Reasons for leaving each past & current employment
• Salary drawn for each past & current employment
• Expected Salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

Loh Puay Hwee David

EA License | 24C2215

EA Registration Number | R1766892

The IT Division is responsible for delivering and operating UOI’s enterprise technology platforms, including core insurance systems, cloud infrastructure, data platforms, and digital capabilities. UOI currently operates in a hybrid technology environment with a few legacy systems remaining on premises, some of which are planned for migration to the cloud over the next 18 months. The Division has a strategic focus on expanding cloud adoption and advancing AI-driven capabilities, enabling secure, scalable, and efficient delivery of applications across AI, data, and middleware environments through modern engineering and DevOps practices.

Job Purpose

The Application Engineer is responsible for the effective support and enhancement of UOI’s application and integration landscape. This role ensures applications are stable, secure, and well-supported, while working closely with internal stakeholders and vendors to deliver reliable technology solutions that meet business needs. 

Main Responsibilities

• Provide day-to-day application support, ensuring incidents and service requests are resolved in a timely manner. 
• Manage user access administration for assigned applications, including onboarding, offboarding, and access changes, ensuring compliance with security policies and segregation of duties.
• Support audit and compliance activities by maintaining documentation and evidence for internal and external audits and ensuring timely remediation of audit findings.
• Conduct periodic access reviews to ensure adherence to least privilege and role-based access control principles.
• Design, develop, and enhance backend applications and APIs using approved UOI technologies and standards.
• Support and maintain integrations and data flows across internal and external systems.
• Perform root cause analysis for application incidents and implement corrective and preventive actions. 
• Support application changes across development, testing (SIT/UAT), release, and post-implementation phases. 
• Work with infrastructure and security teams on deployments, access controls, monitoring, and compliance. 
• Engage external vendors to manage defects, enhancements, and delivery quality in line with agreed SLAs. 
• Maintain application documentation to support operational readiness, audits, and knowledge transfer. 
• Participate in standby or on-call support rotations where required. 

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 3-5 years of experience in backend software development.
• Experience in application support and backend development within a production environment. 
• Hands-on experience with Java, Python, NodeJS and associated frameworks (e.g. Spring Boot, ASP.NET Core).
• Strong SQL skills and experience working with relational databases. 
• Experience working in Linux / Red Hat environments. 
• Exposure to AWS services used in application environments (e.g. EC2, RDS, S3, CloudWatch). 
• Strong analytical and troubleshooting skills with a structured approach to problem resolution. 
• Abilityto work effectively with business users, technical teams, and external vendors. 
• Awareness of IT controls and regulatory expectations within a financial services environment. 

Added Advantage

• Experience supporting Odyssey 2 and / or Odyssey 5 systems. 
• Contribute to the support and enhancement of Odyssey 5, unQork, InsureMO, Snowflake, fileAI platforms. 
• Knowledge of API security concepts and secure coding practices. 
• Experience supporting vendor-developed or packaged insurance systems. 
• Experience in CI/CD pipelines, DevOps tooling, or automation.  
• Understanding of RESTful APIs, integration patterns, and application interfaces. 

Certifications

• Java SE OCA / OCP 
• AWS Associate-level certifications 
• SQL-related certifications 
• Red Hat RHCSA / RHCE 
• ITIL v4 Foundation