Responsibilities

• Responsible for providing production and engineering support to all backend equipment-related activities
• Set up conversions of backend equipment for production utilization
• Perform timely set-up, repairs and maintenance of backend equipment such as laser mark, vision scanner and Tape & Reel platform
• Troubleshoot equipment-related issues and minimize equipment downtime
• Perform routine equipment preventive maintenance / calibration on timely basis
• Assist in implementing equipment improvement projects

Requirements

• Diploma in Mechanical / Electrical Engineering or equivalent
• Preferably with minimum 1 year relevant experience in semiconductor industry
• Knowledge of basic equipment troubleshooting
• Good communications and analytical problem solving skills
• Entry level candidates are welcome to apply

• 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

Role Overview

We are seeking a Software Engineer, Quality & Platform (Generative AI) to support the quality, reliability, security, and performance of enterprise-grade AI applications and agent orchestration platforms.

This role combines software engineering, test automation, platform quality assurance, and Generative AI validation. The successful candidate will contribute to the establishment of testing frameworks, quality engineering practices, AI evaluation methodologies, and platform engineering capabilities. Over time, the role will expand into software development, platform enhancement, and data engineering initiatives.

Key Responsibilities

Quality Engineering and Test Automation

• Design, develop, and maintain automated testing frameworks for enterprise AI applications and platform services.

• Develop test strategies, test plans, and quality assurance processes covering application functionality, APIs, integrations, security, and user interfaces.

• Establish automated validation approaches for AI-generated outputs, Retrieval-Augmented Generation (RAG) solutions, and AI workflows.

• Design and maintain high-quality test datasets, synthetic test data, and evaluation scenarios while ensuring compliance with data privacy and security requirements.

• Evaluate AI application behaviour, model responses, prompt changes, and platform quality metrics.

API and Streaming Validation

• Design and execute automated tests for APIs, streaming services, and real-time application components.

• Validate application workflows, state transitions, error handling, timeout management, and integration reliability.

• Support testing of backend services and distributed system interactions.

Security and Platform Testing

• Validate role-based access controls, tenant isolation mechanisms, authentication workflows, and platform security controls.

• Perform testing of isolated execution environments, application sandboxing, and secure workflow execution.

• Support security validation activities and contribute to platform risk mitigation initiatives.

End-to-End Automation

• Design, develop, and maintain end-to-end automation frameworks using modern testing technologies.

• Validate user interface components, workflow interactions, document processing features, and application integrations.

• Ensure application quality across multiple environments and deployment stages.

CI/CD and Quality Governance

• Integrate automated testing frameworks within CI/CD pipelines.

• Establish quality controls and deployment validation processes to support reliable software delivery.

• Collaborate with engineering and DevSecOps teams to improve platform quality and deployment readiness.

Performance and Reliability Testing

• Develop and execute performance, load, scalability, and reliability testing activities.

• Monitor application performance characteristics and identify potential bottlenecks.

• Support optimisation efforts for AI services, APIs, and platform infrastructure.

Cross-Functional Engineering Responsibilities

• Contribute to software development activities, platform enhancements, and feature implementation as platform quality frameworks mature.

• Support data engineering, analytics, and platform initiatives where required.

• Promote quality engineering best practices and support development teams in implementing automated testing and validation approaches.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 3 years of experience in Software Engineering, Quality Engineering, Test Automation, or Software Development Engineer in Test (SDET) roles.

• Strong programming skills in Python and JavaScript/TypeScript.

• Experience developing automated testing frameworks using tools such as Playwright, Cypress, Pytest, Postman, or equivalent technologies.

• Experience testing APIs, distributed systems, and cloud-native applications.

• Strong troubleshooting, debugging, and root-cause analysis capabilities.

• Experience working with containerised or distributed environments.

• Proficiency in SQL and relational database technologies, including PostgreSQL.

• Familiarity with cloud platforms and services, including AWS or equivalent cloud technologies.

• Experience handling test data management, synthetic data generation, and privacy-sensitive environments.

• Interest in Generative AI technologies, AI application testing, Retrieval-Augmented Generation (RAG), and AI platform quality assurance.

Preferred Experience

• Previous experience in software development, data engineering, analytics, or platform engineering.

• Experience with automated security testing tools and application security validation.

• Experience working in highly regulated, security-sensitive, or compliance-driven environments.

• Familiarity with AI evaluation, observability, monitoring, or model validation frameworks.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

• Install, calibrate, and commission Particle Size Analyzers, XRF instruments, and Spectroscopy devices at customer sites.
• Perform preventive maintenance on analytical and scientific equipment to ensure reliability and accurate results.
• Troubleshoot, diagnose, and repair any equipment faults or performance issues promptly.
• Ensure all work complies with industry standards and quality procedures.

Requirements:

• Degree in Engineering
• At least 2 years of experience in servicing semiconductor instruments.
• Strong knowledge of laboratory analytical techniques, including spectroscopy, XRF, and particle size analysis.

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

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701

Registration: R1326740

The Managed Services Cross Technology Engineer (L3/L4) – Network / Security is an advanced, architect-level role across multiple technology domains (Cloud, Security, Networking, Applications, Collaboration). The primary objective is to design, implement, and maintain an enterprise network defensive architecture to protect data and infrastructure from sophisticated threats. This role acts as the highest-tier escalation point (4th-line support) to resolve complex operational incidents, ensure contracted client outcomes, and meet Service Level Agreements (SLAs).

Key Responsibilities

1. Strategy & Architecture

• Security Roadmap: Define, architect, and champion the overall network security posture across on-premise, cloud, and hybrid environments (including Zero Trust and SASE models).

• Infrastructure Design: Deploy and manage core components like Next-Gen Firewalls (NGFW), IDS/IPS, WAF, Load Balancers, VPNs, and Network Access Control (NAC) systems.

• Cloud & Segmentation: Design secure cloud networking patterns (e.g., AWS VPCs, Azure VNets) and enforce micro-segmentation.

• Policy & Governance: Establish and enforce comprehensive network security policies, standards, and baselines.

2. Incident Management & Operations

• L4 Escalation Support: Act as the final technical tier for complex incidents that lower-level teams (L1–L3) cannot resolve, performing deep root-cause analysis.

• Ticket & SLA Ownership: Systematically troubleshoot, log, track, and update tickets with resolution details within agreed timelines.

• Proactive Monitoring: Diagnose and investigate potential system issues and errors before or when they occur to minimize client impact.

• Emergency & Change Management: Serve as an emergency contact for critical, business-impacting outages and oversee strict change management protocols.

3. Optimization, Projects & Mentorship

• Automation: Collaborate with automation teams to script and automate routine operational tasks for effort optimization.

• Knowledge Sharing & Mentorship: Create high-quality technical documentation (HLD/LLD) and coach/push knowledge down to junior engineering teams.

• Disaster Recovery: Develop, implement, and test network security components within Disaster Recovery (DR) and Business Continuity plans.

• Project Delivery: Manage, implement, and execute technical projects according to client timelines.

• Quality Audits: Perform process and service experience quality audits.

Key Competencies & Attributes

• Strong client-centric focus with a passion for exceeding expectations under pressurized environments.

• Excellent change management, active listening, and cross-cultural communication skills.

• Ability to plan effectively amid changing circumstances and work extended hours when necessary.

Technical Skills & Certifications

• Education: Bachelor’s degree in IT/Computing or equivalent work experience.

• Preferred Certifications: CCIE, CCNP Security, CISSP, PCNSE, or vendor-specific firewalls (Fortinet, Check Point, Cisco).

• Core Technology Stack Required:

  • Firewalls/Security: Cisco ISE, Fortinet (FortiGate, FortiManager), Check Point, CyberArk.

  • Application Delivery/Vulnerability: F5 (LTM, WAF), RSA, Tenable, Trend Micro.

  • Monitoring & Tooling: Solarwinds, Splunk Enterprise, OPSWAT.

  • Network Diagnostics & Automation: Advanced packet analysis (Wireshark/tcpdump) and basic automation scripting (Python/Ansible).

Responsibilities:

• Maintenance of IT peripherals including backup & recovery
• Set-up, installation, re-installation or migration of IT peripherals
• Relocation of IT peripherals within premises
• Provide onsite support at client's premise, remote support by phone & email, and standby support if necessary/activated. Handling clients/end-users IT related requests
• Troubleshoot hardware & software issues
• Users profile administration
• Interface with other maintenance vendors (eg. HP, Microsoft, etc) for problem reporting. Place service call and follow up until the problem has been resolved.
• Installation and configuration of software according to customer standard

Requirements:

• Minimum ITE / Diploma in IT or equivalent
• At least 1 year of working experience in IT field
• End-user support experience is preferred
• Basic networking support & supporting in OS platform
• Have Customer Service Skills/ Good Communication Skills/ Team Player/ Take Initiative
• Able to work under pressure and in a fast-paced environment

Others

• 5-days work week / w CPF / w Leave Entitlement
• Duration: Renewal contract with benefit (AL, MC, Medical claim) & Perm Role offer

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Objectives

Design and deliver scalable real-time data and machine learning solutions by building robust ingestion and transformation frameworks across Hadoop ecosystems. Enable end-to-end ML model operationalization and performance optimization, while supporting multi-modal data processing and development of engineering tools and applications.

Key Responsibilities

• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Skillset

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of 6+ years of professional experience
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Key Skills:

Experience with Python, Java, Scala, or C++

ML Frameworks & Libraries – XGBoost, Scikit‑learn, Tensor Flow/keras, Hugging face (NLP/NLQ/Gen AI use cases)

Full-Stack Development

Performance Optimization

Data Engineering & Ingestion Frameworks

Collaboration with Data Science Teams

Basic information:

• Monday to Friday, Office Hours

• Basic Salary: $3,800

• Location: Commonwealth

• Career Progression & Benefits

Job Description:

- Perform engineering duties such as design, engineering calculations, planning, tender preparation/evaluations as part of the engineering project team

- QA/QC documentation of engineering deliverables

- Liaison with clients, project managers, architects, contractors

- Assist in resolving any technical problems faced during project design and/or construction stages

- Any other required duties as required by the Project Team.

For interested candidates, please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified
We wish you all the best in your career search.

Zen Career Pte Ltd | EA License No: 24C2559
Charlotte Lim (Limanqi) | EA Personnel No: R23113764

We're building a MAS-regulated marketplace and clearing house, and we want you to grow with us.

Our Site Reliability Engineering team operates mission-critical platforms that power real-time trading and clearing services. We're looking for a hungry, hands-on engineer who's solid on the fundamentals and ready to level up fast in a high-stakes, high-support environment. You don't need to have done it all — you need to be the kind of person who figures things out, automates the boring stuff, and cares deeply about reliability.