Total 12,879 job vacancies in Singapore

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

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

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

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

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

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

We are seeking a qualified Electrical Engineer who is proactive to oversee the operation, maintenance and reliability of the electrical systems within our projects. The successful candidate will ensure that all electrical installations, equipment and maintenance activities comply with statutory requirements, safety standards and operational needs

Key Responsibilities

• Manage the maintenance, repair and operation of building electrical systems, including the electrical distribution systems, lighting, emergency power systems and other related equipment
• Plan, supervise and coordinate preventive and corrective maintenance programs.
• Monitor the performance and reliability of electrical systems and recommend improvement initiatives
• Troubleshoot electrical faults and coordinate timely rectification works
• Supervise contractors and service providers to ensure maintenance works are carried out safely and in accordance with specifications
• Ensure compliance with local regulations, electrical codes, and workplace safety requirements
• Prepare maintenance schedules, technical reports, risk assessments and documentation
• Assist in budgeting, cost control, and procurement of tools and materials
• Respond to electrical emergencies and provide technical support when required

Requirements

• At least a Diploma in Electrical Engineering or equivalent
• Minimum 5 years of relevant experience in building maintenance, facilities management or property management.
• Strong knowledge of electrical systems in commercial, industrial or residential buildings.
• Familiarity with preventive maintenance practices and building management systems (BMS)
• Good understanding of electrical safety regulations and statutory requirements
• Experience in supervising maintenance contractors and service providers
• Strong troubleshooting, analytical, and problem-solving skills
• Good communication and interpersonal skills.

Company Overview

The client provides Resident Engineer (RE), Resident Technical Officer (RTO), and Professional Engineer (PE) supervision services, project management consultancy, structural investigations, periodic structural inspections, and facade inspections.

Job Summary

As a Resident Engineer, you will lead site teams to supervise construction, ensuring design accuracy, safety, and compliance with contract specifications. You will drive project success by coordinating contractors, managing contracts, and maintaining high-quality standards throughout the project lifecycle.

Responsibilities

• Lead site supervision for Civil, Structural, and miscellaneous infrastructure works to ensure compliance with design documentation and safety standards
• Direct and support Resident Technical Officers (RTOs) in executing daily site supervision tasks effectively
• Coordinate with contractors to manage work schedules, monitor progress, enforce quality control, and uphold site safety requirements
• Liaise and collaborate with relevant authorities and local communities to facilitate smooth on-site operations
• Administer contracts by evaluating progress payment claims, variations, and extension of time requests to ensure contractual compliance
• Monitor contractor work to verify alignment with approved drawings, specifications, construction methods, and schedules
• Review and assess contractor submissions, including materials, suppliers, and construction methodologies, to maintain project standards
• Coordinate activities among multiple contractors on-site to optimize workflow and minimize conflicts
• Prepare and deliver regular progress reports and feedback to the Consultant, recommending improvements related to safety, supervision, security, construction, and maintenance
• Fulfil duties as the Qualified Person (QP) representative according to Building and Construction Authority (BCA) regulations, reporting to the project QP and Engineers

Required competencies and certifications

• Degree in Civil or Structural Engineering or equivalent accreditation recognized by the Professional Engineers Board (PEB) Singapore
• Registration as a Resident Engineer accredited by the Institution of Engineers Singapore (IES) or the Association of Consulting Engineers Singapore (ACES)
• Registration with IES/ACES and a minimum of 2 years experience supervising civil/structural works
• 3-5 years of site supervision experience as a Resident Engineer, preferably with HDB/LTA project experience
• Thorough knowledge of Building and Construction Authority (BCA) regulations, government contract documents, and BCA reporting requirements
• Proficiency in MS Word, Excel, and Project for project updates and reporting
• Familiarity with local codes and regulations
• Effective communication and interpersonal skills

Preferred competencies and qualifications

• Prior experience working on HDB or LTA projects

Other Information

• Full-time position based in Singapore
• Contract period of up to 24 months

• Lead Operation plans and processes to optimize manufacturing Operations
• Responsible for Plant operations and performance in accordance with production Goals
• Technical Leadership in Production workforce for plant operation, optimization & Troubleshooting
• Coach & Guide for field and console operators reporting to Production Manager
• Cross function collaborations with Maintenance, Project, Reliability Technical- Technology and HSE functions to troubleshoot Petrochemical Manufacturing Site
• Lead the Operating Procedure development and Plant improvement activities
• Lead plant related risk assessment and compliance of Safe operating work practices
• Hire, Train, Develop, Inspire and Coach the Production team
• Lead emergency response, Crisis Management plan
• Provide guidance of shift team during plant troubleshooting, Start-ups/ Shutdowns / Turn arounds
• Responsible for the development, implementation of prestart up planning activities and oversee commissioning & Start- up activities of grassroot facilities
• Capable to identify, develop and implement improvements / changes in the Plant
• Lead Production ideas for improving Profitability, safety, reliability of facilities
• Pursue a relevant bachelor degree in engineering, such as industrial, manufacturing or mechanical engineering.

Design, develop, test, and maintain software applications and systems.

Analyze user requirements and convert them into technical solutions.

Develop high-quality, scalable, and secure software applications.

Perform coding, debugging, and troubleshooting activities.

Participate in software architecture and design discussions.

Conduct unit testing and support system integration testing.

Maintain databases and optimize application performance.

Collaborate with cross-functional teams to ensure successful project delivery.

Support deployment, monitoring, and maintenance activities.

Prepare technical specifications and documentation.

Participate in Agile development processes and sprint planning.

Ensure compliance with software development standards and security requirements.

Continuously improve application functionality and user experience.

Research and implement new technologies to enhance development processes.

• Managing daily activities on the site.
• Attend site meeting, inspection, and monitoring of project progress with Main Con and Sub-cons.
• Ensure safe work procedures are implemented and carried out at all times to control risk.
• Perform structural analysis and design involving the preparation of calculations and structural design drawings in accordance to customers' specifications.
• Handle technical matters such as construction program, shop drawing & other submissions related to project.
• Able to read construction/shop drawings and understand detailing.

• Supervise and manage Civil / Structural projects, work closely with other site operations staff to meet the project schedule.
• Work force planning & designing for demolition and regulation.
• Carry out inspections to ensure that the works meets the quality standard.
• Preparing Risk Assignments.
• Preparing Permit Paper & Daily Toolbox.
• Manpower Management & Maintaining Manpower Report.
• Site planning, coordination, and execution of matters to construction project.
• Liaise with sub-contractors to ensure smooth progression and competition of work.
• Liaise with consultants to carry out inspections and audits.
• Carry out full time supervision of construction works as required under BCA regulations.

Job Requirement

• Bachelor degree in any discipline or equivalent
• 10-12 years Manpower Management Experience.
• Should have experience in 24/7 operations
• Site safety and Knowledge in Risk assessment is advantage
• Should have Knowledge in Demolition

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

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 with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

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

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties