Total 76 process development engineer job vacancies in Engineering category in D02 Anson, Tanjong Pagar

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

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

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.

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

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

Job scopes

• Maintain and evolve the existing Chatbook application, ensuring stability, performance, and continuity of service.
• Design and build new AI solutions leveraging LLMs, retrieval-augmented generation (RAG), and agentic frameworks.
• Collaborate with Project Managers, Solution Architects, and business stakeholders to deliver production-grade AI applications on AWS.
• Take over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrations.
• Perform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolution.
• Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks.
• Build MCP-based integrations and agentic pipelines for enterprise system connectivity.
• Implement monitoring and observability for AI model performance and agentic behaviour.
• Translate business and stakeholder requirements into robust, AI-powered solutions.

Job Requirements

• Bachelor’s degree in Computer Science or a related discipline
• Working experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with good knowledge of agentic design patterns (planning, tool use, memory, reflection).
• Experience with MCP-based integrations and maintaining GenAI/agentic applications in production, including guardrail implementation and application evaluation.
• Knowledge of LLMOps practices — prompt management, model evaluation, observability tools (e.g., LangSmith), AI governance, and responsible AI principles.
• Good fundamentals in clean code, design patterns, testing, REST API development, containerisation, orchestration, and CI/CD pipelines.
• Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS.
• Proficiency in relational and NoSQL databases, with familiarity in vector databases for semantic search.
• Experience with AWS cloud services including Lambda, API Gateway, S3, CloudWatch, and IAM.
• Hands-on experience with AWS Bedrock to orchestrate foundation models such as Anthropic Claude, including Knowledge Bases, Agents, and Guardrails.
• Experience developing and deploying applications on Government Commercial Cloud

Thankyou for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

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 Principal 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 running of major projects

Team Management role in the development and design and coordination of engineering project services

· Responsible for development and leading the local design team

· Carries out cost and profit diagnosis on projects including feasibility studies and preparation of fee bids

· Reviews status advised by project personnel and external parties and modifies schedules or plans as required.

· Prepares project reports for Management, Client or others.

· Represents Company at technical meetings with customers, professional

· teams and contractors’ teams

· Support the delivery of projects in accordance with the expectations of the RED Project Delivery Process from a Project Management, Financial

Management, QA/QC and Technical Review perspective

Day to day decision making on project progress and direct liaison with, and provides advice to client

Job Requirements

· Engineering degree in appropriate ICT infrastructure engineering discipline

· At least 10 years’ appropriate employment experience

· Relevant past employment examples:

o IT/Multi-disciplinary consulting firm

o ICT consultancy and project management

o Construction project management (with a technology emphasis)

o Network technology vendor/manufacturer

o Network systems integration contractor

· Experience in ICT infrastructure, building ICT fit-out migration and occupation

· Ideally the candidate will have a technical understanding of the following

o Critical Facilities/Data Centre Design

o Campus Networks

o LAN Ethernet Switching

o Wi-Fi Network Communications

o Structured Cabling Systems

o Fibre Optic Networks

o Data Cabling Containment Systems

o Telecommunication Network Infrastructure and Services

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!

a) Design, implement, and maintain complex infrastructure integration solutions spanning cloud environments (primarily AWS) and on-premises systems.

b) Develop and maintain automation scripts, tools, and Infrastructure as Code using Ansible and Terraform to streamline integration processes and enhance operational efficiency.

c) Manage and optimise Unix/Linux systems, services, and Elasticsearch clusters for comprehensive log management and analysis.

d) Implement robust monitoring solutions using tools such as CloudWatch, Prometheus, Grafana, and Zabbix for infrastructure and applications, ensuring high availability and optimal performance of critical business components.

e) Deploy and manage containerised applications using Docker and Kubernetes (EKS) environments, including day-to-day cluster operations and maintenance.

f) Collaborate effectively with cross-functional teams to identify integration requirements, develop comprehensive technical solutions, and implement DevOps best practices using CI/CD pipelines.

g) Troubleshoot and resolve complex network, system, and application issues whilst minimising disruption to business operations.

h) Execute cloud migration strategies from on premises to cloud environments, including planning and implementation phases.

Job Description

a) Design, implement, and maintain complex infrastructure integration solutions spanning cloud environments (primarily AWS) and on-premises systems 

b) Develop and maintain automation scripts, tools, and Infrastructure as Code using Ansible and Terraform to streamline integration processes and enhance operational efficiency 

c) Manage and optimize Unix/Linux systems, services, and Elasticsearch clusters for comprehensive log management and analysis 

d) Implement robust monitoring solutions using tools such as CloudWatch, Prometheus, Grafana, and Zabbix for infrastructure and applications, ensuring high availability and optimal performance of critical business components 

e) Deploy and manage containerized applications using Docker and Kubernetes (EKS) environments, including day-to-day cluster operations and maintenance 

f) Collaborate effectively with cross-functional teams to identify integration requirements, develop comprehensive technical solutions, and implement DevOps best practices using CI/CD pipelines 

g) Troubleshoot and resolve complex network, system, and application issues whilst minimizing disruption to business operations 

h) Execute cloud migration strategies from on premises to cloud environments, including planning and implementation phase

TG-ITO-RNW-REQ34

Job Description

This job role is for Security Engineer to support SecOps operations. 

The Security Operations Engineer is responsible for managing and maintaining the Authority's cybersecurity infrastructure, including endpoint protection, privileged access management, vulnerability assessment systems, and security monitoring tools. This role ensures the security posture of critical systems through proactive monitoring, incident response, system maintenance, and implementation of security enhancements across the organization's technology stack. 

TG-ITO-RNW-REQ36

Job Summary 

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

This role will take ownership of qualification strategy, project execution, documentation compliance, risk management, and stakeholder coordination across laboratory equipment lifecycle activities. The successful candidate will act as a senior technical contributor and coordination lead, working closely with QC, Validation, Engineering, Quality Assurance, and external vendors to ensure equipment systems remain compliant, audit-ready, and aligned with site and regulatory expectations. 

Your Missions 

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

• Own and manage equipment qualification lifecycle activities including IQ, OQ, PQ, requalification, periodic review, and decommissioning where applicable. 

• Define project strategies, implementation plans, timelines, risk mitigation approaches, and resource coordination for qualification and decommissioning projects. 

• Lead decommissioning activities for QC laboratory equipment in accordance with approved procedures, compliance requirements, and site quality standards. 

• Author, review, and approve qualification protocols, reports, SOPs, risk assessments, traceability matrices, and training materials. 

• Provide technical guidance on deviations, investigations, CAPA, change control, and impact assessments related to laboratory equipment and qualification processes. 

• Review validation and qualification documentation to ensure compliance with GMP, GDP, data integrity, and regulatory expectations. 

• Partner closely with QC, Validation, Engineering, Quality Assurance, IT, and external vendors to drive timely and compliant project execution. 

• Ensure documentation traceability, inspection readiness, and lifecycle compliance for laboratory equipment systems. 

• Support and coordinate laboratory equipment integration activities where applicable, including LabX connectivity or related laboratory data systems. 

• Monitor project milestones, risks, dependencies, action items, and implementation progress to ensure delivery within timelines. 

• Act as a subject matter expert for QC laboratory equipment qualification, lifecycle management, and compliance-related discussions. 

Your Profile 

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

• 10+ years of experience in equipment qualification, validation, commissioning, lifecycle management, or compliance within GMP-regulated manufacturing or laboratory environments. 

• Strong experience managing QC laboratory equipment qualification and validation activities. 

• Solid understanding of GMP, GDP, data integrity, validation lifecycle, change control, deviation, CAPA, risk assessment, and audit readiness requirements. 

• Proven experience authoring, reviewing, and leading qualification protocols, reports, SOPs, risk assessments, validation plans, and related compliance documentation. 

• Experience managing qualification or decommissioning projects involving multiple stakeholders, vendors, and timelines. 

• 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. 

• Experience with laboratory system integration platforms such as LabX or related laboratory software systems is preferred. 

• Strong stakeholder management, project coordination, documentation review, and technical problem-solving skills. 

• Able to work independently, guide project teams, and manage competing priorities in a structured GMP environment. 

• Detail-oriented, compliance-focused, and capable of supporting inspection or audit readiness activities. 

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. 

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

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

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.