Total 286 Engineering job vacancies in D02 Anson, Tanjong Pagar

About the job

About the Organisation

Our client is an organisation at the forefront of national digital transformation, with capabilities spanning data science and AI, application development, smart city technology, digital infrastructure, and cybersecurity — and a clear mandate to build technology that improves lives at scale.

About the Division

This role sits within a Healthcare Technology division that operates like a modern product organisation, embedded closely with public healthcare agencies and statutory boards. The team builds and maintains digital platforms that directly serve Singapore's public healthcare sector — including patient-facing registries, national claims platforms, and compliance systems.

The Role

As an Engineering Manager, you will own the technical direction, design, implementation, and delivery of products across one or more squads. You'll sit at the intersection of engineering leadership and product thinking — guiding teams, driving quality, and shaping the long-term technical roadmap.

What You'll Do

• Define and communicate your team's engineering vision and strategy, aligned to broader organisational goals
• Partner with product, design, and cross-functional stakeholders to manage roadmaps and deliver incrementally and efficiently
• Own the long-term technical roadmap for your squads, keeping it current against evolving product, security, compliance, and infrastructure needs
• Drive cross-squad technical alignment and establish shared practices, tooling, and quality standards
• Set norms for AI-assisted development — including guardrails, code review standards, and quality benchmarks
• Lead structured 1:1s and performance conversations; mentor and develop engineers at all levels
• Own quality, reliability, and security strategies within your team
• Contribute to senior hiring and recruitment efforts
• Proactively identify and drive high-impact engineering initiatives

What They're Looking For

Technical

• Proven track record leading and delivering technically complex products
• Experience with large-scale, high-availability software systems
• Solid full-stack depth across modern technologies:Frontend: Next.js / React.js / Nuxt / Vue.jsBackend: Java / TypeScript / Node.js / Golang
• Strong knowledge of SQL and NoSQL databases and data modelling
• Cloud platform experience — AWS preferred; Azure or GCP also relevant
• Experience with observability and monitoring tooling (e.g. ELK stack, CloudWatch)
• Bonus: legacy system modernisation experience

Leadership & Mindset

• Demonstrated people leadership across multiple squads or levels — including developing senior talent, navigating performance challenges, and building a culture of ownership
• Excellent communication skills — able to influence senior stakeholders, facilitate trade-off discussions, and translate strategy into actionable engineering direction
• Deep commitment to engineering craft: code quality, system design, holding teams to a high bar
• Strong product mindset — customer-centric, data-driven, comfortable partnering with PMs as a peer
• Comfortable with ambiguity; drives clarity without waiting for direction
• Actively engaged with the evolving tech landscape, including AI-assisted development tools

What's On Offer

• Meaningful work with genuine public impact
• Flexible work arrangements
• Comprehensive benefits package
• A culture that values diverse perspectives and continuous learning

ST
Reg No. R1768414
BeathChapman Pte Ltd
Licence no. 16S8112

About the Role:

We are seeking a hands-on Cyber Security Firewall Engineer to provide operational support and security platforms. The ideal candidate will be experienced in managing Fortinet FortiGate and Palo Alto Networks firewalls, with foundation in network security, policy management, and incident response.

Key Responsibilities:

Firewall Operations (Fortinet & Palo Alto)

• Manage firewall rules creation, change requests, rule optimization, NAT/VPN configuration and firmware upgrades.

• Monitor traffic, identify anomalies, and remediate security events.

• Maintain HA configurations, routing and logging integrations.

• Support audits and evidence collection for regulatory/compliance requirements.

Tripwire

• Administer policies, baselines, agents, alerts, and remediation workflows.

• Investigate integrity violations; tune rules to reduce false positives.

Imperva (DB Security/DAM)

• Configure security policies, signatures, profiles, and exceptions.

• Monitor application-layer attacks; tune rules to balance protection and usability.

• Support database activity monitoring policies and reporting where applicable.

• Security Monitoring & Incident Response

• Triage alerts conduct root-cause analysis, and coordinate remediation.

Required Qualifications:

Hands-on expertise with:

• Fortinet FortiGate (policies, VPN, routing, HA, SD-WAN, logging).

• Palo Alto Networks firewalls (policies, NAT, App-ID, User-ID, Panorama).

• Tripwire (Hice to Have).

• Imperva (Hice to Have).

• Strong understanding of networking fundamentals (TCP/IP, VLANs, routing, NAT, SSL/TLS, DNS ).

• Experience in incident response, change management, and documentation.

• Ability to work independently with a focus on accuracy, speed, and risk reduction.

Preferred Certifications (Nice to Have)

Fortinet NSE 4–7, Palo Alto PCNSA/PCNSE, Imperva Certified Professional.

Soft Skills

• Clear communication with stakeholders and change advisory boards.

• Structured problem-solving and risk-based decision-making.

• Ownership mindset with strong time management for a contract environment.

Deliverables & KPIs

• Firewall rules changes are accordance to requests.

• Successful completion of firmware upgrades and config backups with rollback plans.

• Updated Tickets, network diagrams, and change records.

• Handover documentation and knowledge transfer at contract end.

Tools & Environment

• FortiGate / FortiManager / FortiAnalyzer

• Palo Alto NGFW / Panorama

• Tripwire Enter

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Functional/ Technical

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Position Summary :

1. To provide Product technical support to production operations for areas of product engineering competencies and advocate industrial engineering best practices with support from multi-functional team ( MFT ).

2. Responsible for overall product performance and capability, new product introduction, equipment.

3. Responsible for product evolution and liaise closely with PDA on product roadmap.

4. Function as the main interface to Customers and be responsible for all quality issues of the product assigned. Drive actions with internal and external parties to decrease the rate of first-fit rejections.

5. Accountable for product root cause analysis of all quality/process issues by performing 8D analysis (FTQP) and driving the reactivity objective.

Main Tasks & Responsibilities :

1. Product & Engineering Competencies

- Accountable and responsible on managing product definition file and configuration

- Accountable and responsible on product evolution and stay active in IPT team

- To innovate, improve, implement, evaluate and sustain the engineering processes and capabilities

- To advocate engineering best practices supported by multi-functional team (MFT) and production to improve work processes and for optimum operational efficiencies.

- Responsible on Product Cost , focusing on : Design Authority Fee

- Improve internal technical competency, less dependent to DA and reduce Non-Quality cost

- Continuously to improve R1 and FPY improvement which is part of contributor of non-quality cost

2. IPT network communication & Co-operations

-Liaise with Design Authority, IPT for technical related matters to support Product performance and competitiveness.

3. Technical support

-Monitor & Escalate support effectiveness (with job prioritization) to Production Line Manager.

-Ensure adequate support to operation's requests and ensure adequate support given to production lines for Product evolution qualification, capability setup, and relevant technical supports as required.

a. New Product Introduction

• Accountable on Product & Technical work package

b. Customer Return & Investigation

• To lead and coordinate with MFT on the investigation findings and recommended corrective actions.

c. Product production process , sustaining and improvement

• Responsible for the established product manufacturing process by Method Engineering

• Accountable for product issues

• Perform Impact Analysis and work closely with IPT for product issue

d. Projects

• To initiate product continuous improvement plan with the support of MFT

e. To manage validation on supplier alert on product level with support of MFT

4. Continuous Improvement

- Lead/participate in product and process improvement projects (KAIZEN)

5. Internal support Key Performance Indicator

- To establish and maintain KPI ( R1 , FPY ) to measure support performance

- To establish and implement improvement action plan

Requirements:

• Diploma/ Degree in Aerospace/ Aeronautical/ Electronic/ Electrical/ Mechatronics Engineering or equivalent

• Minimum 2 years of relevant working experience in technical support function

• Experience in aviation industry will be added advantage

• Competence in interactive communication, problem solving and decision making are required.

• Excellent analytical and troubleshooting skills

• Proficient in Microsoft Office applications

Client introduction

Our client is an established fintech headquartered in Singapore, operating across payments and foreign exchange with a footprint spanning Asia and beyond, including a significant client base in Greater China. As the business scales towards its next stage of growth, they are building out the senior layer of their reliability function.

They are hiring a newly created Lead Site Reliability Engineer (Quality Assurance) sits within the SRE team as a key technical hire and co-lead with the Head of SRE.

Job responsibilities

• Own production reliability across the FX and payments platforms - monitoring, observability, alerting, and the definition and tracking of SLIs and SLOs.
• Lead incident response end to end, including war rooms, post-mortems, root-cause analysis and the upkeep of operational runbooks.
• Strengthen quality assurance across the platform - improving test coverage, release sign-off standards, and modernising legacy test automation toward more automated and AI-assisted workflows.
• Support client API integration from sandbox to production, including liquidity provider onboarding and conformance testing.
• Act as the technical escalation bridge between clients, internal users and engineering, supporting China-based clients directly on production and integration issues.
• Lead business continuity and disaster recovery testing, including failover, recovery and audit evidence preparation.
• Contribute to DevOps and tooling improvements across reliability, testing and support.
• Coach and uplift a team of junior SRE and QA engineers, setting standards and mentoring on best practice as the function matures.

Job requirements

• At least 6 years of experience in site reliability, production support, platform engineering or technical operations, ideally within fintech, payments, FX, trading systems or another high-availability environment.
• Strong hands-on troubleshooting across production systems, logs, APIs and application behaviour.
• Hands-on quality assurance exposure - test automation, release support or regression testing - as the role spans both reliability and quality.
• Working knowledge of API integration and comfort in client-facing or client-support situations; sandbox-to-production experience is an advantage.
• Solid fundamentals across cloud and containers (AWS, Docker, Kubernetes), monitoring and observability tooling (Grafana, Prometheus, OpenSearch, CloudWatch), and scripting (Python, Java, Bash).
• People management or team-lead experience is necessary.
• Sound grounding in incident management, RCA and BCP/DR practice.
• Professional spoken and written Mandarin proficiency is required to communicate directly with China-based clients and stakeholders, support production issues, and manage API integration activities.
• Suited to someone hands-on today who wants to grow into a broader leadership role. Candidates requiring relocation to Singapore are welcome to apply. Relocation expenses will not be provided for this position.

Why you should join them

• A newly created, high-visibility role as second-in-command within the reliability function, with a genuine path to grow into a deputy or co-leadership position through succession planning.
• Direct exposure to senior engineering leadership, reporting to the Head of Engineering and working alongside the infrastructure team.
• Broad ownership across reliability, quality, client integration and incident management, with room to shape how these run rather than inherit a fixed playbook.
• A modern technical environment with real appetite for AI-assisted tooling across testing, RCA and support, plus a hybrid working arrangement.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

Functional/ Technical

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality System

1. Develop, implement and maintain QMS documentation to maintain compliance with applicable standards such as ISO 9001, ISO 13485 or GMP

2. Monitor regulatory changes and update the QMS accordingly

3. Conduct internal audits and support external audits (external auditing bodies, suppliers and customers)

4. Analyze quality data and metrics to identify trends and areas for improvement

5. Collaborate with cross functional teams to ensure that the quality standards are integrated into processes

Management Representative

1. Reports on QMS performance to top management and recommend improvement

2. Point of contact for certification bodies

3. Lead Management Review and follow up action items

Product Quality Management

1. Analyze and capture recurring product complaints, collaborate with Operation and Technology teams to address compound specified failures

2. Operational Quality Support. To facilitate continuous improvement initiatives, by providing on the floor support through use of quality tools and coaching teams to build ownership and proactive engagement with quality processes.

Customer Complaints Management

1. CCAR Manager. Manage the customer complaints handling process to ensure that all complaints are logged with right information for investigation till auditing process

2. Collaborate with cross functional team during the investigation, resolution and communication of customer complaints

3. Review interim CCAR reports to ensure that root cause is data driven and corrective action(s) address the root cause

Supplier Complaints Management

1. SCAR Manager. Approve SCAR – Supplier related complaints and defects, review and monitor the effectiveness of corrective actions

2. Collaborate with Procurement, Supplier and internal stakeholders to investigate issues and resolution

3. Collaborate with Procurement, Operation and Technology to assess risk and quality impact of raw material on finished goods

Global Quality Team Collaboration

1. Support the implementation of global quality initiatives, systems and tools

2. Ensure that local QMS aligns with global practices and corporate policies

3. Share best practices and lessons learned across global sites

Support Quality Contracts/Documentation

1. Review customer documents and quality related agreements for compliances to ensure clauses are relevant, assess the risks.

2. Response to customer request for certifications, compliance/quality related/audit documents

System

1. Conduct training for staff in Quality Procedure, Standards and Tools.

2. Lead processes identified by the Global Quality Team such as PPAP, QIR, CCAR, SCAR and Mastercontrol for the Asia Region

Requirements:

· Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

· Certificate in Quality Engineering is preferred.

· 4-6 years of quality management experience. Junior with 1-2 experience in related field can also apply

· Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

· Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing.

· Good experience into customer & supplier audit and able to conduct training

· Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

· Occasionally overseas travel and weekly conference call is required for the role

· This position required to communicate closely with vendors in China.

Working hours:

Mon to Fri 8.30am - 5.30pm ( 1 day hybrid )

Key Responsibilities:

• Create detailed mechanical and electrical design drawings, schematics, and layouts using CAD software. Ensure all designs meet project specifications and standards.
• Work closely with engineers and project managers to understand design requirements and make necessary adjustments. Coordinate with other disciplines to ensure integrated design solutions.
• Prepare and maintain comprehensive documentation for design modifications, project specifications, and technical reports.
• Review designs for accuracy and compliance with relevant codes, standards, and regulations. Conduct design checks and revisions as needed.
• Address design issues and provide solutions that enhance the functionality and efficiency of M&E systems.

Requirements:

• Diploma in Mechanical Engineering, Electrical Engineering, or a related field.
• Relevant certifications in CAD or design drafting are a plus.
• 2 years of experience as a Design Draftsperson
• Proficiency in CAD software (Revit) and strong understanding of mechanical and electrical systems. Excellent drafting skills and attention to detail.

HOW TO APPLY:

Interested applicants, kindly click on “APPLY NOW” or send your resume in MS WORD format to hestia.wong(at)trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Wong Ying Huan (Hestia)

EA Personnel Reg No: R24122431

About the role

We are hiring a Senior Site Reliability Engineer to help make k-ID reliable at scale.

This role sits in the middle of our production backbone. You will own and improve the systems that keep our platform available, observable, secure, and resilient as traffic grows and our client base expands globally. You will work across infrastructure, tooling, deployment workflows, incident response, and systems design to make sure we can scale without breaking.

This is not a ticket closing operations role. We want someone who can look at a system, find the weak points, and harden it. Someone who cares about failure modes, blast radius, deployment safety, recovery time, cost discipline, and the realities of running production systems under pressure. You should be comfortable writing code, automating away toil, and partnering closely with engineers to improve reliability through better architecture and better operating practices.

Responsibilities

• Own the reliability, availability, and performance of the systems behind k-ID’s platform and public APIs

• Design and improve scalable infrastructure on AWS and Kubernetes that can support high growth, uneven traffic, and global production workloads

• Build and maintain strong observability across logs, metrics, tracing, alerting, and service health so issues are caught early and investigated quickly

• Improve deployment safety through better CI and CD workflows, release controls, rollback paths, and environment consistency

• Drive incident response and production readiness practices, including runbooks, on call hygiene, postmortems, capacity planning, and resilience testing

• Reduce operational toil by automating repetitive work and improving internal tooling for developers and operators

• Partner with engineering teams to embed reliability and operability into service design from the start, not after something fails in production

• Strengthen platform security and infrastructure hygiene across access controls, secrets handling, system hardening, and production safeguards

• Continuously improve system performance, resource efficiency, and cost awareness without compromising reliability

Qualifications

• 5+ years of experience in infrastructure, platform engineering, site reliability engineering, or software engineering with meaningful production ownership

• Strong experience running production systems in AWS

• Strong hands on experience with Kubernetes and container based workloads

• Experience with infrastructure as code, preferably Terraform

• Experience designing and operating observability stacks using tools such as Prometheus, Alertmanager, Grafana, OpenTelemetry, or equivalent systems

• Strong understanding of distributed systems, failure modes, service reliability, and production debugging

• Experience building or improving CI and CD systems and release workflows in modern engineering environments

• Ability to write code and automation in one or more languages such as Go, Python, or TypeScript

• Good judgment during incidents and a practical mindset around tradeoffs, risk, and recovery

• Clear written and verbal communication skills with the ability to work effectively in a remote team

• Startup experience is a plus, especially in environments where systems and processes are still being built

The Company You're Joining

The company delivers all aspects of cloud management, services, and solutions, from initial setup and migration to ongoing operations and optimization. 

What You'll Do

• Involve in the various technical aspects of the project.
• Participate in system/network infrastructure projects.
• Responsible for supporting operational systems.
• Perform and manage routine preventive maintenance and operational activities.
• Provide project documentation and reports.
• Diagnose and rectify technical issues.

What You'll Bring

• Knowledge in Windows server OS,Linux OS in a virtual environment would be an advantage.
• Knowledge and hands-on experience with Virtualisation and Hypervisors, Nutanix platform would be an advantage.
• Knowledge in network switches/routers, firewall would be an advantage.
• Fresh graduates are welcome to apply.Those with experience will be considered for Senior roles.

Ready to Apply?

Click ‘Apply Now’ and our consultant will reach out for a discussion to share more.

EA License No: 12C6045 | UEN: 53041699M

ABOUT THE JOB

• Support and execute technology transfer for drug substance manufacturing
• Drive scale-up activities from lab to commercial production
• Collaborate with cross-functional teams to ensure smooth implementation
• Develop and optimize processes including purification, homogenisation, and cleaning processes for routine operations
• Provide technical guidance to site teams
• Lead and support validation activities including cleaning validation, water mixing validation, and risk assessments (e.g. extractables & leachables – E&L)
• Ensure compliance with GMP and regulatory standards
• Prepare and review validation protocols, reports, and technical documentation
• Support integration of single-use systems and new manufacturing equipment

ABOUT YOU

• Academic background: degree in engineering, life sciences, or related field
• Experience in commercial-scale GMP manufacturing (biologics drug substance)
• Strong background in tech transfer and process validation
• Hands-on experience with chromatography and filtration processes
• Proven experience in cleaning validation and water mixing validation
• Strong understanding of both manufacturing and quality perspectives
• Experience in lab-to-commercial scale-up
• Fluent English. Additional languages are a plus.
• You demonstrate strong problem-solving and stakeholder collaboration skills

WHY AMARIS?

• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
• At Mantu, sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support.

Job Description & Requirements:

• To support the construction team for M&E engineering works.
• Planning / Scheduling and coordination of M&E works;
• Project coordination, supervision, and monitoring of the progress of site work.
• Coordinate M&E engineering work and work closely with other department staff to resolve site discrepancies and technical issues.
• Oversee and ensure works are carried out in accordance with the approved drawings, materials, and method statements.
• Liaise with clients, consultants, relevant authorities, and sub-contractors on M&E issues.
• Handle any other ad-hoc duties and tasks assigned.

Job Requirements:

• Diploma / Degree in Mechanical or Electrical Engineering
• Minimum 2-4 years of relevant experience in LTA projects

RED is an expanding international M&E consultancy, with a proven track record in low energy design, focused on providing excellent design solutions to clients.

We now seek an experienced Senior ICT Engineer to be based in our Singapore office to inspire others. You will have the ability to run small and large sized projects, undertake a client facing role in the development, design, and co-ordination of engineering projects You will have experience in the delivery of data centres along with other sector experience including commercial, hotel, retail, and hotel design desirable.

Your excellent communication and interpersonal skills, both with colleagues and clients, and experience working on innovative projects with leading client organisations, and contractors will equip you to take a future pro-active role in forging client relationships of our sector portfolio.

You will possess good commercial awareness, in addition to having robust technical knowledge relevant to building services design, and capable of incorporating those technologies into the hotel / hospitality and leisure sector. The position will ideally suit someone who is currently working in building service consultancy and is prepared to work ‘hands on’.

Job Description

• Responsible for the production of ICT infrastructure design packages, such as, written report documents, drawings, schematics, schedules, technical specifications, procurement packs.
• Meet the necessary standards of quality/technical excellence and delivery time commitments consistent with the demands of each project.
• Development of 2D CAD design drawings and 3D Revit models working in close collaboration with Revit BIM team colleagues. An emphasis upon design coordination and clash detection with MEP services is particularly important.
• Representing RED ICT at technical and design team meetings, meetings with customers, professional design teams and contractor teams.
• Ensure that specifications, drawings, and calculations meet the project design brief, industry, legal and quality standards.
• Adopt a holistic view in the selection and application of ICT infrastructure design concepts and solutions.
• Coordination of ICT design with related engineering disciplines, e.g., electrical, and mechanical.
• Work towards a timely successful team output and production.
• Participation in meetings with the client and relevant project stakeholders.
• Develop a clear understanding of client requirements from both a technical and operational standpoint.
• Undertake peer and QA review of drawings (typically cabling systems, containment, cabinet elevation, comms room layout, active network diagrams).

Job Requirements

Either:

• Degree in Engineering with at least 2 years’ appropriate experience in ICT infrastructure design engineering

Or:

• Diploma in Engineering, HNC/HND or CNIDP with at least 4 years appropriate experience in ICT infrastructure design.
• Appropriate experience includes:
• Data cabling manufacture/contracting
• IT /IP network systems integration
• Network technology vendor/manufacturer
• IT/Multi-disciplinary consulting firm
• Construction project management

Desirable:

• Previous project experience in ICT infrastructure design for data centre construction; commercial building construction.
• Technical qualifications and design experience in the following technologies
• Structured Cabling Systems
• Fibre Optic Networks
• Data Cabling containment systems
• IP/Ethernet Data Network (LAN/WAN)
• Wireless Data Network (WiFi)
• In-building Distributed Antenna System (DAS)
• Outside Plant (OSP)
• Telecommunication Network Infrastructure and Services
• Industry qualifications such as Cisco CCNA, CNet training, BICSI, Uptime Institute.
• Appreciation of the ICT implications related to MEP building services, network security engineering and power supply and cooling systems.

If you think you have what it takes to join an award-winning team and help RED continue its exciting journey, we want to hear from you!

Job Summary 

We are looking for a QC Equipment Qualification Specialist to support qualification, lifecycle management, and decommissioning activities for Quality Control laboratory equipment within a GMP-regulated manufacturing environment. 

This role will support the execution and coordination of qualification activities, change control, validation documentation, and equipment lifecycle compliance. The successful candidate will work closely with QC, Validation, Engineering, Quality Assurance, and external vendors to ensure laboratory equipment is qualified, documented, and maintained in accordance with site and regulatory requirements. 

Your Missions 

• Support qualification activities for QC laboratory equipment in accordance with GMP, validation lifecycle, and change control requirements. 

• Coordinate and execute equipment qualification activities including IQ, OQ, and PQ where applicable. 

• Support decommissioning activities for QC laboratory equipment following approved procedures and compliance requirements. 

• Assist in defining project plans, timelines, documentation needs, and coordination activities for qualification and decommissioning projects. 

• Prepare, review, and maintain qualification protocols, reports, SOPs, risk assessments, and training materials. 

• Support deviations, investigations, CAPA, and change control activities related to laboratory equipment and qualification processes. 

• Review qualification and validation documentation to ensure completeness, traceability, and compliance with GMP and site quality expectations. 

• Collaborate with QC, Validation, Engineering, Quality Assurance, and vendors to ensure timely execution of project activities. 

• Ensure proper documentation practices, data integrity, and compliance standards are followed for laboratory equipment systems. 

• Support equipment integration activities where applicable, such as LabX connectivity or related laboratory data systems. 

• Track action items, project milestones, risks, and implementation progress to support delivery within agreed timelines. 

Your Profile 

• Bachelor’s degree in Engineering, Life Sciences, Biotechnology, Pharmaceutical Sciences, Chemistry, or a related discipline. 

• 5–8 years of experience in qualification, validation, commissioning, or lifecycle management within GMP-regulated manufacturing or laboratory environments. 

• Hands-on exposure to QC laboratory equipment qualification and validation activities. 

• Good understanding of GMP documentation, validation lifecycle, change control, deviation, and CAPA processes. 

• Experience preparing or reviewing qualification protocols, reports, SOPs, risk assessments, or validation documentation. 

• Familiarity with analytical or laboratory equipment such as continuous flow analysers, nitrogen analysers, TOC systems, gas generators, analytical balances, microbalances, or similar laboratory instrumentation would be an advantage. 

• Exposure to laboratory system integration platforms such as LabX or related laboratory software systems is preferred. 

• Strong documentation, coordination, and stakeholder communication skills. 

• Detail-oriented, organized, and comfortable working within structured quality and compliance environments. 

• Able to manage multiple tasks and timelines within project-based environments. 

What We Offer 

• An international community bringing together 110+ different nationalities. 

• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities. 

• A robust training system with our internal Academy and 250+ available modules. 

• A vibrant workplace that frequently gathers for internal events, afterworks, and team buildings. 

• Strong commitments to CSR, notably through participation in our WeCare Together program.