Total 280 construction engineer job vacancies in D02 Anson, Tanjong Pagar

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.

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

• Experience in handling support & installation for Finacle 10.x environments including troubleshooting and configuring new services
• Ability to take ownership of deliverables and engaging all stakeholders
• Proficient in N-tier architecture for Finacle, high availability concepts
• Proficient in writing SQL queries in Oracle/PostgreSQL for troubleshooting issues and preparing data for issue analysis and reporting
• Hands on with Unix/Linux commands
• Basic proficiency in Middleware technologies like WebSphere Application Server and JBOSS
• Hands on experience in automating some of the routine tasks in environment management
• Experienced in handling patching of Finacle, OS, MW and database components. Should be able to perform impact assessment and co-ordinate the tasks with various supporting units like OS support, DB support, Middleware support, etc.
• Familiar with environment maintenance tasks like source refresh across environments, data refresh across environments and familiar with CICD concepts

Requirements
Finacle 11.x experience. Should have 6+ Years of Experience

Knowledge of Kafka, Redis and PostgreSQL

End to end setup experience in Finacle in versions 10.x or 11.x

Production environment support and familiarity with change management process

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 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 )

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!

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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.

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

Key Responsibilities:

• Manage RFQ, NPD, NPI, FA and Product Transfer.

• Prepare requisition for order, review supplier offers, make technical bid evaluation if required.

• Liaise and coordinate with customers and other departments pertaining to project activities and order fulfilment

• Work closely with customers on audit, engineering change order

• Responsible for projects transferred from development to operations, ensuring that documents and procedures are in place to independently handle repeat sales orders.

• Monitor and manage Suppliers’ performance to meet delivery, cost and quality targets

• Identify and mitigate program risks and implement risk mitigation plans

• Collaborate with cross-functional team members to meet Key Performance Indicators and Operational deliverables.

• Lead the development of simulation test cases for the verification of process change initiatives.

• Utilize manufacturing and/or business operations experience to quickly frame the operational challenge and visualize a solution

• Support Design, Engineering activities of the day-to-day operations.

• Responsibility & coordination of the complete certification process from application to approval for products

• Creation of technical documentation, e.g. technical drawings (2D drawings and 3D models)

• Knowledge of the supplier landscape and the materials (knowledge of who can manufacture which product)

• Ensuring product compliance, enforce quality assurance protocols and standards

Skills & Qualification:

• Degree/Diploma/Higher Nitec in Electronics/Mechanical/Mechatronics Engineering

• Minimum 1 - 2 years of relevant experience in a manufacturing industry,. Contract manufacturing background will be at advantage

• Experience in communicating with contract manufacturers / suppliers

• Must able to analyse technical drawing/specification

• Experience in SAP system is a plus

• Strong communication and program management skills

• Addresses present issues immediately and independently

• Possess self-confident and willing to share opinions and expertise in discussions

• Able to communicate to all levels in the organization

• Provide support to colleagues in the department and work as a team to achieve departmental goals & targets

. Candidates without prior experience are welcome to apply

Working hours:

Mon to Fri 8.30am - 5.30pm

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

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

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 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