Total 12,644 job vacancies in Singapore

• 1 year contract (renewable/ convertible)

• Working Location: Rifle Range (nearest MRT - King Albert Park

• Working Hours: Mon-Fri (7.30am - 5.15pm) + Cover shift if required

• Salary range: $4000 + Completion Bonus

Job Responsibilities:

• Plan and coordinate manpower, materials and equipment to execute projects

• Oversee day-to-day production activities, ensuring schedules are met and identifying bottlenecks or inefficiencies

• Collaborate with Quality and Engineering teams on root cause analysis and corrective actions for production non-conformities

• Handle product acceptance with customers

• Develop and maintain documentation including risk assessment, production records and forms

• Train operators and production staff on processes, equipment usage and maintenance

• Perform other ad-hoc duties as assigned

Job Requirements:

• Degree/Diploma in Mechanical/Mechatronic/Industrial Engineering

• Minimum 2 years relevant experience in manufacturing/production industry

• Basic ability to read and interpret technical drawings

• Basic proficiency in CAD software such as SolidWorks

If you are interested, please submit your application here. We appreciate your application and will notify you if you are shortlisted for the role.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

EA License No: 90C3494 | EA Personnel No: R21103663 | EA Personnel Name: Azhar Anuwar

Job Description

• Industry/ Organization Type: Cooling Solutions Provider
• Position Title: Service Engineer
• Working Location: Kaki Bukit
• Working Hours: 5.5 Days, Monday – Friday (9am – 6pm), Saturday (9am – 1pm)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Perform periodic servicing, preventive maintenance, and troubleshooting of CRAC/ WDS and related systems.
• Diagnose hardware and software faults, identify root causes, and implement effective solutions.
• Execute equipment power-up/ down procedures and respond promptly to emergency service calls (e-calls).
• Provide technical support and onsite training to clients on Operation & Maintenance Manuals (OMM).
• Build and maintain strong client relationships, working closely with site engineers and customer engineering teams.
• Prepare detailed service reports and submit regular (weekly/ monthly) updates on activities, progress, and corrective actions.
• Monitor contractor activities, ensuring compliance with safety, operational procedures, and quality standards.
• Ensure adherence to data center safety regulations and support ad-hoc tasks assigned by management.

APPLY NOW!!!

• Minimum ITE/ Diploma in Mechanical or Electrical Engineering (or equivalent).
• With hands-on experience in maintenance and troubleshooting electrical and mechanical systems, preferably dealing with ACMV/ DX systems.
• Possess practical knowledge of CRAC/ WDS or critical infrastructure is an added advantage.
• Good problem-solving, analytical, and communication skills (both written and verbal).
• Willing to commit for standby duties, and ability to perform manual work in data center environments.
• Candidates without experience are welcome to apply, training will be provided.

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 #83561 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

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Job description

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

Qualifications

Job responsibilities

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

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Experience leading technical discovery sessions with customers.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Role Overview

We are seeking an experienced Software Engineer to support the enhancement, maintenance, and expansion of enterprise-grade Generative AI applications and agent orchestration platforms.

The successful candidate will contribute across both frontend and backend technologies, working on AI-enabled applications, enterprise platform services, analytics capabilities, and secure application architecture. This role involves close collaboration with AI engineers, product stakeholders, and platform teams to deliver scalable and secure digital solutions.

Key Responsibilities

Platform and Application Development

• Design, develop, and maintain enterprise application modules across frontend and backend systems.

• Lead the development of user management capabilities, including authentication, authorisation, session management, single sign-on (SSO), and access control mechanisms.

• Design and implement analytics dashboards and operational reporting capabilities.

• Support the evolution of platform architecture and application capabilities in accordance with business and technical requirements.

Marketplace and Access Management

• Design and develop application components supporting internal AI capability marketplaces.

• Implement role-based access control (RBAC), tenant isolation, and permission management frameworks.

• Enable secure publishing, sharing, versioning, and management of AI-enabled assets, datasets, document-based chat applications, and reusable platform capabilities.

Generative AI Integration and User Experience

• Collaborate with AI engineering teams to integrate AI agents, orchestration services, and intelligent workflows.

• Design and implement dynamic user interface components supporting AI-generated content and workflow-driven interactions.

• Support integration with external APIs, AI services, and enterprise platforms.

Analytics and Data Visualisation

• Develop solutions for tracking application usage, AI service consumption, user engagement, and operational performance metrics.

• Design and implement dashboards and visualisation capabilities to support business and operational decision-making.

• Contribute to future data platform and analytics initiatives.

Database and Application Architecture

• Design, implement, and maintain relational database solutions using PostgreSQL.

• Develop database schemas supporting workflow management, application state management, permissions, and user interactions.

• Ensure scalability, performance, and maintainability of backend services and data structures.

Security and Compliance

• Implement secure application development practices, including input validation, access controls, encryption, and secure token management.

• Support compliance with enterprise security, governance, and privacy requirements.

• Contribute to the design and maintenance of secure application architectures.

Requirements

Qualifications and Experience

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

• At least 5 years of software engineering experience covering both frontend and backend development.

• Advanced experience with React and Next.js, including modern frontend architecture and state management approaches.

• Strong expertise in Python and FastAPI, including asynchronous programming and API development.

• Strong experience designing and managing PostgreSQL database solutions and relational data models.

• Practical experience with AWS cloud services such as S3, IAM, Lambda, DynamoDB, or equivalent cloud technologies.

• Experience developing secure, scalable, and maintainable enterprise applications.

Preferred Experience

• Experience with data analytics platforms, reporting solutions, or internal business applications.

• Experience integrating Large Language Models (LLMs), AI services, or Generative AI platforms.

• Experience with AWS Bedrock, AI APIs, or equivalent AI technologies.

• Experience with data visualisation frameworks such as Recharts, D3.js, Chart.js, or similar technologies.

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

Additional Information

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

• Company located at Tuas

• Monday – Friday: 8am – 5pm

• On-Job-Training Provided

• Well Established Oil &Gas Manufacturing Company

• Variable Bonus +Excellent Welfare & Benefits

Job Scope

• Assist the Production Manager and Machining Manager in taking charge of all jobs whenever necessary and ensure delegation and coordination on the necessary works.
• Ensurethat all budgets and plans are met.
• Assist the managers to monitor and manage workshop loadings, direct labour hours, overtime, rework, scrap, on time deliveries, downtime, work efficiencies and ensure all measurements are within plans whenever necessary.
• Organize weekly production meeting to provide status update to all relevant departments and iron out related production issues.
• Assist the managers to formulate floor production plans and optimize production hours and weekly planned hours ensuring on time delivery.
• Assist the managers to identify the skill level of production employees and distribute suitable work tasks to achieve higher throughput whenever necessary.
• Assist the managers to conduct annual performance appraisal for all reporting employees whenever necessary.
• Assist the managers in resolving issue and determining root cause, corrections and corrective actions for internal rejection and scrap.
• Assist the managers in initiating purchase requisition for any requirements and preparing monthly reports whenever necessary.

Requirement

• Diploma/ Degree in Mechanical / Manufacturing Engineering or equivalent
• 1 -3 years of relevant experience in metal machining or oil & gas industry

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.

KHOO SOT MEI (R21102604)

EA Recruitment Pte Ltd

EA License No: 21C0492

M & E Engineer

Work Location: Changi, office at (Lavender area)

Working days: 5.5 days 8am to 5pm, Alternate Saturday 8am to 5pm Full Day

Salary: $3000 to $4000

Requirements

• Degree in Mechanical or Electrical Engineering or equivalent
• Good technical knowledge in mechanical & electrical trades.
• Good knowledge of Local Code/Regulation Knowledge pertaining to M&E services, building construction, and safety.

Job scope

• Control site progress & installation quality as per approved Shop Drawings, Technical Submissions, and Equipment/Material Procurement/Fabrication/Delivery Schedule for on-time completion.
• Appraisal for works/products compliance to Specifications/Requirements and selection recommendation.
• Responsible for M&E drawing coordination and production of CSD and individual service drawings quality.
• Responsible for conducting QA/QC inspection, managing RE, RTO, and responsible for clearing QA/QC inspections to meet with construction schedule.
• Provide and maintain all site inspection records & T&C records up to date.
• Responsible for variation order cost collection, cost verification of the VO works, and making necessary recommendations for VO prices.
• To check, evaluate, and confirm work done and material supply quantity status for the purpose of M&E sub-contractor/NSC vendors' progress payments including instruction on progress substantiation document preparation by sub-contractors and vendors.
• Responsible for site implementation of safety standards to comply with IMS safe work methods.
• Responsible for attendance at daily site coordination meetings and providing detailed coordination with subcontractors.

Chin See Min Reg No. : R22107450
The Supreme HR Advisory Pte Ltd EA No. : 14C7279

• Well Established Company
• Basic $3800 - $4500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: East
• Working day: Monday to Friday
• Working hours: 8am to 5.30pm

Job Responsibilities:

• To participate in procedures for Supplier Management process such as supplier on-boarding, selection and approval process by assessing and evaluating supplier profile; visiting and auditing of supplier facility and process, initiating supplier quality agreement review, and establishing good partnership with suppliers
• To evaluate and monitor supplier performance and collaboration with suppliers to identify opportunities for enhancements and improvements
• To support new supplier/material qualification by ensuring that all supplier on-boarding related documentations and action are complete, and that quality of purchased material meets the required standards and expectations
• To communicate and work closely with external supplier sand internal stakeholders (Procurement, Warehouse and Manufacturing) on supplier/material qualification related projects, material quality related issues. To address on purchased material failures/defects and derive proper preventive and corrective action plans through SCAR system
• Implement quality inspection standards on incoming and outgoing inspections
• Responsible for timely closure of Corrective and Preventive Actions (CAPA) , non-conformance investigation reports and customer complaints and publish reports on quality performance
• Lead the Material Review Board (MRB) meeting involving members from production, engineering and quality departments to conduct root cause analysis, address quality issues, implement corrective actions and review its effectiveness
• Maintain updated and accurate documents and records on ISO 9001, 14001 and 13485 system (includes Quality Manual, Procedures, Work Instructions, Forms etc) to ensure system compliance and ready for Management Review
• Plan and conduct internal and external audits to ensure readiness of all sections for third party certification body, management review and customer audits
• Review audit findings and develop action plans to drive continuous improvements
• Perform any other duties as assigned

Job Requirements:

• Possess minimum Diploma in Quality Management / Engineering / Manufacturing or related field with minimum 2 years of relevant working experience in handling audits and ISO documentation in manufacturing industries
• Knowledge in Supplier Management
• Knowledge of quality Management Standards such as ISO 9001, 14001, 13485 and ISO 22301
• Knowledge in Potential Failure Mode Effect Analysis (PFMEA), Control Plans .and Gage Repeatability & Reproducibility (GR&R)
• Familiar with 8D and 5W problem solving methodology

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

An exciting opportunity for individuals with a background or strong interest in Business or Engineering to build a rewarding career in consultative, solution-based sales. You will receive full training to understand our products and applications and work closely with customers to provide tailored solutions that enhance their operations.

• Learn and apply product knowledge through structured training and on-the-job experience.
• Conduct customer visits to understand technical needs and propose effective solutions.
• Build and maintain strong relationships with clients across various industries.
• Identify new business opportunities and contribute to overall sales growth.
• Prepare and deliver presentations, product demonstrations, and sales reports as needed.

Requirements:

• Degree in Business, Engineering, or a related discipline.
• Strong interest in technology, manufacturing, and sales.
• Excellent communication, presentation, and problem-solving skills.
• Self-motivated, goal-oriented, and eager to learn.
• Possess a valid Class 3 driving licence, as the role involves client visits.

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

Join a high-performing engineering team building and operating modern cloud-native platforms.

What You'll Do

• Develop and maintain backend services, automation tools, and platform capabilities using Golang.

• Build, deploy, and support applications on Kubernetes and cloud infrastructure.

• Design and optimize CI/CD pipelines for reliable software delivery.

• Improve platform observability through monitoring, logging, and alerting solutions.

• Collaborate with cross-functional teams to deliver high-quality solutions.

• Participate in operational support, incident management, and service improvement initiatives.

• Contribute to technical documentation, architecture discussions, and engineering best practices.

• Work in an Agile environment with strong emphasis on learning and collaboration.

What We're Looking For

• Strong experience in Golang, cloud-native technologies, and software engineering.

• Familiarity with Kubernetes, containers, CI/CD, and DevOps practices.

• Proficiency in TypeScript is advantageous.

• Enthusiasm for automation, reliability, and continuous improvement.
  

  
  Working Location : Central
  

  Looking for candidates with at least 2 years of working experience
  Experience in Singpass and GCC+ is an advantage
  

  **We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Overview:

The Mechanical Engineer will support the installation and maintenance of mechanical systems related to commuter facilities — such as pumps, fans, lifts, or ventilation equipment — ensuring functionality, safety, and LTA compliance.

Key Responsibilities:

• Inspect, test, and maintain mechanical assets and components.
• Support scheduled and unscheduled maintenance activities.
• Prepare method statements, risk assessments, and mechanical system reports.
• Coordinate with contractors and ensure compliance with equipment standards and specifications.

Requirements:

• Diploma or Degree in Mechanical Engineering.
• Minimum 2 years of experience in mechanical system maintenance or installation.
• Familiar with LTA requirements, SS531, and relevant local codes.
• Strong coordination skills and knowledge of M&E systems in public infrastructure.

We are seeking a proactive, highly experienced, and detail-oriented Project Engineer to provide critical leadership and technical support . This senior role is responsible for ensuring the successful, compliant, and timely commissioning and qualification (C&Q) of complex process and utility systems, managing project progression, coordinating stakeholders, and driving tasks from design through handover.

Key Responsibilities

• Lead the development, review, and execution of commissioning protocols for complex bioprocess equipment (e.g., bioreactors, purification systems) and critical utility systems (e.g., purified water (PW), water for injection (WFI), clean steam, cleanroom HVAC).
• Mentor and provide technical guidance to the site project and commissioning team and external contractors, acting as a Subject Matter Expert (SME).
• Manage project progression for assigned packages, coordinating with design, procurement, construction, and internal stakeholders to ensure adherence to scope, budget, and schedule.
• Serve as the primary technical point of contact for commissioning and project execution, coordinating directly with Engineering, Validation (CSV/Process), Manufacturing Operations, and Quality Assurance stakeholders.
• Manage the full life-cycle of C&Q documentation, including the review and approval of Design Specifications, Factory Acceptance Tests (FATs), Site Acceptance Tests (SATs), and commissioning protocols, ensuring compliance with cGMP and regulatory requirements.
• Witness and sign-off on contractors’ testing and commissioning results, ensuring all activities strictly adhere to approved protocols, industry standards, and internal Quality requirements.
• Proactively conduct site inspections and system punch-listing to identify and resolve complex, project and commissioning-related issues before they impact the subsequent qualification (IQ/OQ/PQ) phases.
• Drive project administration, progress reporting, and documentation handover to the Validation and Operations teams, ensuring a successful transition.

Requirements & Skills

• 3+ years of progressive, relevant experience in project engineering, commissioning, qualification, or validation roles, with a strong focus on biopharmaceutical, pharmaceutical, or regulated advanced manufacturing environments.
• Proven track record of leading or significantly contributing to major capital projects involving cleanroom HVAC, utility systems, and/or complex bioprocess equipment.
• Bachelor’s degree or higher in Mechanical, Electrical, Chemical, Building Services Engineering, or a related discipline.
• In-depth knowledge of cGMP, GEP (Good Engineering Practice), and GAMP (Good Automated Manufacturing Practice) principles.
• Reliable, self-motivated, and a proven team leader with strong ownership and accountability.
• Exceptional communication, negotiation, and stakeholder management skills, comfortable challenging and influencing senior technical and operations personnel.
• Proficient in project management software, Microsoft Office Suite, and relevant data management tools.

Job Summary

Design, develop, test, and maintain scalable, secure software applications by analyzing user requirements and collaborating with cross-functional teams to deliver high-quality technical solutions that enhance functionality and user experience.

Responsibilities

• Design and develop software applications and systems that meet user requirements and business goals
• Analyze user needs and translate them into effective technical solutions
• Write, debug, and troubleshoot code to ensure software reliability and performance
• Participate in software architecture and design discussions to influence system structure
• Conduct unit testing and support system integration testing to validate software quality
• Maintain and optimize databases to improve application efficiency and responsiveness
• Collaborate with cross-functional teams to ensure timely and successful project delivery
• Support deployment, monitoring, and maintenance activities to ensure system stability
• Prepare clear technical specifications and documentation for development and maintenance
• Engage actively in Agile development processes and sprint planning to enhance team productivity
• Ensure software development complies with established standards and security requirements
• Continuously improve application functionality and user experience through iterative enhancements
• Research and implement new technologies to optimize development processes and outcomes

Cloud Engineer

Responsibilities:

• Manage Cloud Infrastructure.
• Good in handling Cloud maintenance, support, deployment & implementation.

Requirements:

• Strong in Cloud Infrastructure (AWS, Azure etc).
• Good in handling Cloud Infrastructure (AWS, Azure)
• Min. 2 years Cloud experience
• Good in handling Cloud Computing, Virtulisation,
• Experience in Windows, System or Microsoft 365, Microsoft Teams, Microsoft Azure, Microsoft Intune MDM
• Expereince in Cloud SaaS, IaaS etc.
• Strong understanding of security best practices in Cloud, Azure, AWS, Microsoft 365
• Possess Cloud certification (AWS /Azure / GCP) is preferred.
• Singaporean Only!

We respect your privacy and all communication will be treated with confidentiality.

Please contact us or apply in-confidence to us with you updated MS Word Resume to : jeline@starcareerconsulting.com

Yong Jeline (Reg. No. R1101621)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Job Responsibilities:

·       Participate in requirement and design reviews; clarify scope, acceptance criteria, and risk areas; challenge assumptions and propose quality mitigations.

·       Design test strategy and plans based on business risk and architecture, with clear validation points across UI/API/DB/logs/metrics as applicable.

·       Own end-to-end test execution and release readiness: test data preparation, integration and regression testing, defect triage/RCA, go/no-go input, and post-release verification.

·       Coordinate and execute UAT; prepare test evidence, track sign-off, and ensure acceptance criteria are met before release.

·       Build and maintain automation within a shared framework: reusable components, async verification utilities, and CI/CD quality gates.

·       Collaborate across distributed time zones; communicatestatus, risks, and blockers proactively; drive issues to closure with strongownership.

Job Requirements:

·       Bachelor's degree or above in CS/Engineering or equivalent practical experience.

·       Solid testing fundamentals: test design, risk-based thinking, defect lifecycle, and RCA mindset.

·       Proficient in at least one language (e.g.,Python/Java/Go/TypeScript); able to write maintainable automation code withgood abstraction thinking.

·       Hands-on experience in API testing and backend validation(SQL/data integrity); familiar with CI/CD pipelines and modern QA toolchains.

·       Able to understand and test complex distributed/asyncsystems (message queues, events, caching).

·       Strong ownership and self-drive in a remote, async-first environment.

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd, 20 Cecil Street, #08-09 PLUS Building, Singapore 049705

 Tel: 69509748

http://www.peopleprofilers.com

debbie@peopleprofilers.com

Consultantin charge: So Boon Shyen, Debbie

EALicence Number: 02C4944

Registration Number: R1111376

Job Summary

We are seeking a Software Engineer to develop software solutions for high-performance semiconductor test systems. You will work on software layers close to electronics, collaborating closely with hardware and firmware teams to deliver reliable, high-precision instrumentation platforms for company’s global customers.

Key Responsibilities

• Develop software layers close to hardware for advanced semiconductor test systems 
• Work closely with hardware and firmware teams to understand tester architecture and internal system design 
• Design and develop runtime layers using C++ or Java for control, calibration, and diagnostics 
• Implement algorithms to achieve high accuracy, performance, and system reliability 
• Own the full development lifecycle, including specification, development, integration, testing, and documentation 
• Ensure software quality through structured development approaches (e.g., testing, validation, debugging) 
• Contribute to cross-functional collaboration within a multidisciplinary engineering team (software / firmware / hardware) 
• Operate within an agile development environment alongside a team of 15+ engineers

Requirements

• Bachelor’s Degree in Software Engineering, Electronics Engineering, or a related discipline 
• Minimum 2 years of relevant experience in software development (or strong internship/project exposure) 
• Proficiency in C++ or Java (experience in Java Swing is advantageous) 
• Basic understanding of analog and digital electronics 
• Strong analytical and problem-solving skills, with attention to detail 
• Curious, rigorous, and motivated to work on complex technical systems 
• Good communication skills and ability to work in an international, cross-functional environment 
• Fluent in technical English

Optional:

• Experience in semiconductor, instrumentation, or ATE environments 
• Exposure to Python or scripting languages 
• Familiarity with test-driven development (TDD) or structured software development practices 
• Experience interfacing software with hardware systems or embedded platforms 
• Willingness to travel for technical discussions or customer engagement
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

Job Summary

Demonstrate and provide technical support for products, install and maintain engineering systems, and manage pre- and post-sales activities to enhance customer engagement and ensure operational excellence.

Responsibilities

• Demonstrate products and provide technical support to the sales team to improve customer understanding and boost sales effectiveness
• Set up and install systems, conduct testing and commissioning to ensure systems are fully operational
• Troubleshoot and repair engineering equipment to maintain optimal performance and reduce downtime
• Perform routine preventive maintenance to extend equipment lifespan and ensure reliability
• Monitor equipment operation and maintain engineering equipment to meet quality standards
• Prepare detailed reports and data documentation following setup, installation, or servicing activities to support decision-making
• Execute additional duties assigned by superiors to support team and organizational objectives

Preferred competencies and qualifications

• ITE or Diploma in Electrical & Electronic, Mechatronic, Mechanical or equivalent
• 1 to 2 years of relevant work experience

What you will do:

• Overall responsibility to overlook site installation in terms of quality, technical compliance and meeting project schedule and works safety.

How you will do it:

• Handle day to day operation, project delivery and logistics, construction sequence and constructability

• To manage, control and supervisor subcontractors/vendors performing the works on site to ensure it meet quality & schedule requirements and installed items are as per approved drawings and design intent.

• Support during testing and balancing

• Meeting up with clients to manage complains and issues on site, variation order scopes etc.

• Material incoming receipt, quantity and quality checking and inspection

• Co-ordinate with client representative and QA/QC staff pertaining to Validation activities where required.

What we look for:

• Relevant qualification preferably in mechanical engineering

• Minimum 3 years working experience in Semiconductor construction project, particularly in HVAC Wet/Dry or Process Exhaust

• Extensive project execution experience/know how

• Oversee permit applicant process

• Committed to complete given tasks on time, ability to work independently and taking ownerships and responsibilities on tasks that had been assigned to you.

• Self-motivated and open minded with passion to challenge status quo and drive for continuous improvement

• Process good communication and interpersonal skills

Job Description:

• Conduct cutting-edge research in the field of recommendation & search, natural language processing and deep learning &LLM.
• Develop AI-enabled products and services with other groups in the company
• Collaborate with world-class organizations in academia projects

Skills / Qualifications:

• Possess a Master’s degree or PhD degree in computer science, statistics, applied mathematics, or have equivalent research experiences
• Demonstrate the ability to generate new ideas
• Have 3 years of academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields
• Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python

Interested candidate please click "APPLY" to begin your job search journey.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

Job Description

At Lonza Singapore, you will play a key role in ensuring that our manufacturing facilities, systems, and equipment meet the highest standards of quality and compliance. This is an exciting opportunity to contribute to a GMP biotech environment where your work supports the safe and reliable manufacture of life-changing medicines.

What you will get:

• An agile career with opportunities to grow your validation and engineering expertise.

• An inclusive, ethical, and safety-first workplace.

• A dynamic site environment supporting advanced biotech manufacturing.

• Collaboration with experienced engineering, quality, and operations teams.

• Compensation programs that recognize performance and contribution.

• Fully paid medical insurance, with options to enroll family members at subsidized rates.
  

What you will do:

• Support validation activities for facilities, equipment, utilities, computer systems, cleaning, and sterilization.

• Develop and execute validation protocols and reports in line with approved procedures.

• Collaborate with engineering, quality, and end users to deliver validation activities as planned.

• Support commissioning activities and site change implementations when required.

• Review engineering documentation related to commissioning and validation activities.

• Participate in site validation maintenance programs and inspection readiness activities.

• Uphold data integrity principles and identify opportunities for continuous improvement.

What we are looking for:

• A bachelor’s degree in an engineering discipline or a related field.

• Experience or exposure to validation activities in a GMP manufacturing environment.

• Understanding of regulatory expectations and validation principles.

• Ability to collaborate effectively across engineering, quality, and operations teams.

• Clear written and verbal communication skills.

• A proactive mindset with attention to detail and quality.

• Willingness to learn, adapt, and grow in a regulated biotech environment.

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Job Summary

We are seeking motivated Application Engineers to develop and deliver application solutions across ABI, SLT, and ATE platforms for our customers, primarily in Asia and the USA. You will work closely with cross-functional teams to define technical requirements, drive project execution, and ensure successful deployment and sustainment of solutions.

Key Responsibilities

• Develop and implement application solutions for ABI, SLT, and ATE platforms 
• Gather and define customer technical requirements, including scoping and quotation support 
• Collaborate with the Engineering and Production Centers to ensure timely and high-quality delivery 
• Manage application board design, development, assembly, and validation 
• Develop, debug, and validate test programs in accordance with customer specifications 
• Lead solution release, customer acceptance, and production roll-out activities 
• Provide sustaining engineering support to ensure long-term performance and reliability 
• Coordinate cross-functional teams and stakeholders to drive successful project delivery

Requirements

• Bachelor’s Degree in Electronics Engineering or a related discipline 
• Minimum 5 years of relevant experience in application engineering, test development, or related field 
• Good understanding of analog and digital electronics, metrology, and semiconductor test processes 
• Experience in project management, including resource planning, budgeting, and reporting 
• Strong communication and interpersonal skills; able to operate effectively in an international environment 
• Fluent in English (spoken and written) 
• Prior experience in Semiconductor industry, ATE, ABI, or SLT environments would be an advantage

Optional:

• Exposure to customer-facing or field application roles 
• Experience working in global or matrix organizations 
• Willingness to travel for customer support and deployment
  

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1765450 Pinky Lim (Lim Lee Phing)

About InterOpera

InterOpera is pioneering intelligence infrastructure to eliminate key enterprise pain points, driving cost efficiency, profitability, and scalable growth. Through our real-time decision-making capabilities, we empower clients to identify challenges, generate actionable insights, implement solutions, and track outcomes to ensure sustained success. Our solutions span sales optimization, risk management, and energy efficiency, helping businesses harness data-driven strategies and seamless automation to enhance operational resilience and long-term value creation.

We're looking for a Senior Software Engineer, AI-Native Enterprise Platform who is passionate about building production-grade AI systems, thrives in a fast-paced startup environment, and wants to shape the future of enterprise decision-making through agentic AI, RAG, and modern software engineering. We’d love to hear from you.

Responsibilities

AI-Native Product Engineering

• Architect and ship production-grade multi-step AI agents with planning, memory, and tool usage capabilities to automate enterprise workflows

• Design, build, and operate Retrieval-Augmented Generation (RAG) pipelines over proprietary enterprise datasets

• Evaluate, deploy, and optimize small/specialized LLMs (sLLMs), including self-hosted deployments for cost efficiency, latency optimization, and data residency requirements

• Develop evaluation frameworks to measure AI performance, including faithfulness, hallucination rates, latency, and instruction-following accuracy

• Integrate frontier AI models such as OpenAI, Anthropic Claude, and Google models while helping define long-term AI architecture strategies

Design & Development

• Build and maintain high-performance backend services using Python and Golang or Java

• Develop modern, responsive enterprise applications using React.js and Next.js

• Own features end-to-end, from architecture and implementation through deployment and production support

• Design scalable distributed systems that are secure, observable, and performant

• Drive cloud deployments using AWS, GCP, or Azure with strong CI/CD, Infrastructure as Code (IaC), monitoring, and operational excellence

Quality & Best Practices

• Write clean, maintainable, and well-tested code with strong focus on performance, scalability, and reliability

• Establish engineering best practices around testing, deployment, observability, and documentation

• Continuously evaluate emerging technologies and AI advancements to improve product capabilities

• Proactively identify opportunities to improve system performance, engineering productivity, and platform resilience
  

Requirements

• 1 year of professional software engineering experience building and operating enterprise-scale software systems

• Proven production experience developing AI agent systems involving multi-step reasoning, planning, memory, and tool usage

• Strong hands-on experience with Python and either Golang or Java

• Production experience with Retrieval-Augmented Generation (RAG), including vector databases, embedding pipelines, hybrid search, and retrieval optimization

• Solid frontend development experience using React.js, Next.js, or equivalent frameworks

• Strong understanding of distributed systems architecture and software scalability

• Hands-on experience building and deploying agentic AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent orchestration frameworks

• Experience working with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, or similar technologies

• Experience deploying, fine-tuning, or optimizing open-source LLMs is highly preferred

• Knowledge of AI evaluation methodologies, prompt testing, model benchmarking, and hallucination measurement is a strong advantage

Work Environment

• High-Intensity Environment: Fast-paced startup with demanding workload and potential weekend work when needed

• Flexible Hours: flexibility is required for project deadlines and global team collaboration

• Regional Collaboration: Work closely with colleagues, clients, and partners across Asia
  
  

What We’re Looking For

• Results-Oriented: Technical decision-making ability considering business impact

• Initiative: Self-starter with strong decision-making and execution capabilities

• Adaptability: Flexibility to handle changing priorities and requirements

• Growth Mindset: Commitment to continuous learning and improvement

• Collaboration: Effective communication with diverse, multicultural team members

What We Offer

• Competitive salary commensurate with experience, plus performance-based bonus

• Meaningful equity participation with ownership in the company's future growth

• Direct ownership of an AI-Native enterprise platform powering critical business decisions

• Opportunity to work alongside a senior, ambitious, and high-performing engineering team

• Learning budget for conferences, courses, certifications, books, and professional development

• Modern technology stack and the freedom to make impactful architectural decisions

• Significant visibility and measurable impact on products used by enterprise clients across the region

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.