Total 219 engineering job vacancies in Information Technology category in Singapore

Role Summary

We are looking for an experienced Group Manager / Engineering Manager to lead a high-performing software development team responsible for building cloud-native, AI-driven industrial products and platforms.

The role requires strong hands-on AI and software product engineering expertise, deep understanding of software architectures and cloud-based ecosystems, and proven ability to transform research prototypes into scalable production solutions.

The candidate will lead & mentor a group delivering AI-first platforms, cloud applications, and AaaS (AI-as-a-Service) solutions, working closely with global teams across geographies.

Key Responsibilities

Strategic Leadership

• Manage an AI & software development group, driving delivery of scalable industry-strength products

• Mentor and grow engineers through technical guidance, architecture reviews, and code quality practices

• Foster an AI-first engineering culture focused on innovation, speed, and engineering excellence

• Innovate (cloud-based) industrial AI and software applications, based on a profound understanding of latest trends in software and AI architecture design and its software components.

Collaboration & Global Delivery

• Work with global cross-functional teams across time zones including research, product management, and engineering

• Translate advanced research innovations into deployable industrial solutions

• Partner with stakeholders to align engineering delivery with product strategy

Engineering Excellence

• Cultivate software engineering best practices including architecture governance, code reviews, testing, and documentation

• Promote secure, reliable, and high-quality software delivery

• Guide & support architecture decisions for products and platforms

Job Responsibilities:

1. Strategic Engineering Leadership & Architectural Vision

● Orchestrate Technical Strategy: Define and champion the long-term technical roadmap for the Mobility Backend and Customer Interface departments, ensuring scalability, security, and resilience.

● Web & Full-Stack Excellence: Drive the strategy for our web ecosystem, overseeing modern, scalable frontend architectures built on React.js and robust, typed service layers using Nest.js.

● Mobile Ecosystem Excellence: Lead the strategy for native mobile development, overseeing high-performance applications built on Kotlin (Android) and Swift (iOS).

● Data Architecture & Management: Oversee a robust data strategy utilizing PostgreSQL for relational integrity and Redis for high-performance caching.

● Data Insights & Analytics: Drive the integration of BigQuery for large-scale data warehousing, enabling the business to derive actionable insights.

● Technical Mentorship: Lead and develop a high-performing team of Engineering Heads, conducting deep-dives into code quality and system design across Java, EKS, Kafka, and Microservices.

2. Delivery Excellence & Observability Culture

● Tactical Execution: Direct the operational "engine room" of the division. You own the mission-critical milestones, ensuring sprints and releases are executed with surgical precision.

● Drive Full-Stack Observability: Establish and enforce a comprehensive Observability Stack (e.g., Prometheus, Grafana, ELK, or Datadog) to ensure system visibility across backend, web, and mobile.

● Digital Experience Monitoring: Champion the use of Fullstory to bridge the gap

between technical performance and user experience.

● Agile Transformation: Drive the Scrum-of-Scrums cadence, fostering a culture of accountability and continuous improvement.

3. Stakeholder Engagement & Strategic Communication

● Executive Presentation & Storytelling: Develop and deliver high-impact presentations to the Board, C-suite, and Management committees. You must be able to translate complex technical roadmaps and "tech debt" into clear business value and ROI.

● Strategic Partner Influence: Act as the technical face of the organization when engaging with external partners, integration vendors, and industry stakeholders. Use persuasive presentation skills to align interests and secure high-value collaborations.

● Global Delivery Models: Manage Offshore Development Center (ODC) partners with a focus on rigorous resource planning and performance KPIs.

● Business Translation: Maintain strong communication channels with key business stakeholders (CSO, Marketing, B2B, etc.), translating business needs into technical deliverables.

4. Strategic PMO & Financial Governance

● Executive Oversight: Provide leadership to the PMO function, ensuring tactical delivery aligns with long-term financial cycles and budget constraints.

●Governance Bridge: Ensure a seamless handoff between the Delivery Management team (focused on "the build") and the PMO (focused on "the audit/reporting") to maintain 100% compliance.

5. Any ad hoc duties as assigned

Job Requirements:

● Preferably minimum 12 years and above of experience in software engineering, with at least more than 5 years in a senior leadership role (Director or Head of level).

● Exceptional presentation and public speaking skills through data-driven presentation.

● Proven track record in building and scaling distributed systems using Java, Kubernetes (EKS), and Kafka.

●Deep understanding of React.js/Nest.js for web and Kotlin/Swift for mobile, alongside data stacks like PostgreSQL, Redis, and BigQuery.

● Experience with Fullstory and modern monitoring frameworks to drive product quality.

● Mastery of the Atlassian suite (Jira/Confluence) and Agile/Scrum methodologies will be a plus

R3 – EIT SAP General Ledger and Operating Expense Management Software Engineer (SG)

Enterprise IT is an essential component of the current IT division that provides support to the Pharmaceutical Research, Supply Chain, Marketing organizations as well as Enabling Functions. The EIT SAP Platform Team is responsible for company’s SAP Global Template asset, delivering enterprise-level capabilities through harmonized business processes and data. The team is responsible for the operation of all company’s SAP and integrated solutions, governance of the associated enterprise assets, and cost-effective delivery of capabilities to support achievement of immediate and future state business objectives.

Within the EIT SAP Platform Team, the EIT SAP General Ledger and Operating Expense Management Software Engineer will be responsible for product delivery in this focused area through working with a globally diverse set of teams; SAP Basis/Security/ABAP, SAP Functional, other IT Platform teams together with the Finance Value team. The candidate will be responsible for product delivery by providing functional design, technical configuration, test verification, documentation with relate to their respective Finance application(s). 

Responsibilities:

Bea member of global FBM (Finance Business Management) team of SAP Experts located in Singapore Tech Centre.

SAP Cross-Functional Delivery:

• Collaborate with delivery peers to ensure best-in-class delivery from solutioning of business requirements through unit-tested, working solutions.

SAP Functional Expertise:

• Possess detailed understanding of SAP Financial in the area of General Ledger (GL), and general understanding in the area of Operating Expense Management (CO-CCA, PCA, IO, PA)
• Collaborate closely with Finance Value Team to convert user stories to functional specification for product development.
• Be able to analyse/design complex system solution, setup system configuration and perform testing as part of product team delivery in a ECC 6.0 Global instance.
• Ability to visualize end-to-end integrated business processes and impacts across key areas such as Financial Business Management, Order to Cash, Source to Settle, Supply Chain Management, Tax, and Financial Supply Chain.
• Stay up to date with the latest developments in SAP functionality and identify opportunities for process improvements and automation.
• As part of the regional onsite team, to provide expert level support to production support/operations team to ensure minimum disruption to business continuity (e.g financial closing).

SAP Configuration and Development Governance:

• Responsible for SAP configuration changes and developments align with business requirements, industry standards, and regulatory compliance.
• Adhere to change control processes and methodologies to minimize system disruptions and ensure system stability.
• Collaborate with cross-functional and technical teams to prioritize and work independently on the delivery of SAP enhancements and new functionalities.

Stakeholder Collaboration:

• Collaborate closely with business stakeholders, including finance, supply chain, and other functional areas, to understand their needs and align SAP solutions accordingly.
• Work closely with Product tech/value team lead to prioritize, providing insights and recommendations on leveraging SAP capabilities to drive business growth and operational excellence.
• Work in a matrix environment and reporting to the Product tech leads in a global setting. Participate in review of own work,and leads review of colleague’s work as appropriate.

Desired Education Level: 

• Master or Bachelor's Degree is required. Concentration in Computer Science, Information Systems or related field is preferred.

Required Skills & Experience: 

• 7+ years of SAP solution delivery experience in the area of FI-GL, CO-CCA/PCA/IO/PA. -required.
• Cross-functional business process experience - required
• Knowledge of interface development E.g. Idoc, BAPI, Middleware (BTP, TIBCO) – required.
• Excellent communication skills and the ability to interact directly with business process owners and business stakeholders. – required.
• Practical experience with single ECC instance in a large scale corporation with global presence. – preferred
• Knowledge of localization within Asia/Europe/US region – preferred
• Working knowledge with Automation team (E.g. Bot) - preferred
• SAP FICO delivery lead experience - preferred
• Experience in SAP S/4HANA will be an advantage.
• Migration experience from ECC to SAP S/4HANA - preferred
• Life Sciences Industry experience - preferred
• Proven record of excellent performance. - preferred
• Proficiency with product life cycle tools such as ServiceNow, Jira, Jira Xray. – preferred.
• Strong interpersonal skills; the ability to work well with people from different disciplines/timezone with varying degrees of technical experience; competence in clear concise and tactful communication with seniormanagement, clients, peers and team members - preferred
• Agile software development and DevOps settings - preferred

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

Job Description

• Industry/ Organization Type: Construction
• Position Title: Technical Engineer
• Working Location: Boon Lay
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.30pm)
• Salary Package: Basic salary up to $4,500 + Variable Bonus
• Duration: 2-years Contract (Convertible to Permanent)

Key Responsibilities

• Prepare technical reports, design calculations, and specifications
• Create 2D and 3D drawings as needed
• Plan and oversee engineering projects
• Conduct feasibility studies and technical assessments, including site investigations
• Carry out site inspections and investigations as required
• Coordinate and communicate with clients, authorities, architects, engineers, contractors, and suppliers to resolve design and development issues
• Conduct research and gather data for projects and Capstone initiatives
• Ensure project compliance with current codes of practice and legal requirements
• Attend training courses provided by the company

APPLY NOW!!!

• Bachelor’s degree in civil & structural engineering, or relevant discipline
• Recognised qualification by the Professional Engineers Board Singapore (PEB) preferred
• Experience in restoration, civil or structural engineering design, or project management is an advantage
• Proficient in Microsoft Office and engineering design software
• Able to perform engineering hand calculations to relevant codes (BS/EC)
• Experience with CAD or BIM is preferred
• Willing to travel as required

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #65005 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Able to use CAM function to generate CNC Fanuc program.
• Able to interpret technical drawing and review 3D CAD design.
• Able to create Work Definition/ Processes in Oracle software.
• Analyzes the design and defines the best sequence of machining steps.
• Follow the Master parameter template to decide speeds, feeds and fixture to be used.
• Request CAD file from Engineer.
• Compare 3D model dimensions with hard copy drawing for any error.
• Ensure that cutting tools are available or highlight to superior for purchase.
• Optimize programs to ensure low cycle times and tool wear are minimized.
• Engage in other activities or responsibilities assigned by superior.

Requirements:

• Minimum Higher Nitec/ Diploma in any Engineering field (Mechanical, Electrical &Electronics)
• Minimum 2 - 5years hands-on experience in CAM software (Master Cam 2023).
• Knowledge and exposure in CNC Milling machines & Oracle ERP software.
• Able to read and interpret technical drawing.
• Team player who is able to work independently.
• Good interpersonal and communication skills.

Others info:

• Walking distance from Ubi MRT Station.
• AWS + VB + Group Profit Sharing.
• Salary package up to $3,340 inclusive of and allowance.

Only shortlisted candidates will be notified.

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description:

The Resident Technical Officer (RTO) is responsible for overseeing daily site operations, ensuring construction works are carried out safely, accurately, and in compliance with approved plans, specifications, and statutory requirements. The role involves supervising contractor activities, identifying discrepancies, monitoring progress, and supporting the project team in ensuring quality and timely execution of all works.

Job Scope:

• Monitor contractors' all type of daily activity, site progress, schedule and safety on site.
• Highlight discrepancies, feedback site progress and non-conformances/ irregularities to QPs/ Consultants/ Employer.
• To ensure all the construction works have complied statutory requirements

Job Requirements:

• Must be registered as Resident Technical Officer (RTO) accredited by JAC of IES/ACES as QSS.
• At least 3 Years of relevant working experience and a diploma in the civil/structural discipline or National Certificate in Construction Supervision (NCCS) or equivalent.
• Must be a team player with strong leadership, communication, and supervision skills.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.

Key Responsibilities for Wireless IP Network Engineer

1. Incident & Problem Management: Manage and resolve high-priority network incidents escalated from L1/L2, including root cause analysis (RCA) and security incident response to minimize business impact.

2. Infrastructure Troubleshooting: Collaborate with internal infra tower teams to troubleshoot complex wireless/IP network issues and identify root causes.

3. Vendor Support Coordination: Partner with network vendors (specifically Huawei) for troubleshooting, bug identification, and technical resolution.

4. Emergency Response: Handle critical network incidents under pressure, restoring services promptly to minimize downtime.

5. Technical Communication: Lead or participate in conference calls with technical teams to drive problem identification and resolution.

6. Process & Change Management: Adhere strictly to Customer policies and align with Huawei’s change management processes.

7. Network Operations & Configuration: Perform day-to-day configuration, optimization, and maintenance on Huawei wireless/IP network devices.

8. Proactive Monitoring & Reporting: Perform network insights, conduct preventive maintenance, monitor key tasks, and provide detailed reports on maintenance checks and issues.

9. Customer Relationship Management: Act as the technical point of contact, advising the customer on technical issues, potential risks, and optimization opportunities.

10. Team Collaboration: Collaborate with technical teams and teammates to resolve complex technical challenges independently.

SKILLSET

This role requires a Diploma/Bachelor’s in Engineering or Computer Science, with deep knowledge of routing, switching (BGP, OSPF, VLANs, STP, HSRP) and hands-on, complex troubleshooting skills. Candidates should ideally understand modern technologies (VXLAN, Cisco ACI, SDWAN) and wireless systems, showing a willingness to learn.

1. Requirements:

- Networking Fundamentals:

In-depth understanding of Routing, Switching, WLAN/LAN/WAN, Spanning Tree Protocol, HSRP, ARP, VLANs, Inter-VLAN Routing, OSPF, and BGP.

- Troubleshooting & Analysis:

Advanced hands-on experience on routers/switches, isolating root causes of complex problems, and resolving network incidents.

- Advanced Technologies:

Knowledge of VXLAN, Cisco ACI, VXLAN BGP eVPN, SDA, and SDWAN.

- Wireless Technology:

Understanding of wireless network technology, including WLC and APs.

2. Education:

Diploma or Bachelor's degree in Engineering or Computer Science.

3. Preferred Qualifications:

- Proactive attitude toward learning new technologies.

- Logical thinking and strong troubleshooting skills.

Key Responsibilities for DCN IP Network Engineer

1. Incident & Problem Management: Own the end-to-end resolution of DCN network incidents escalated from L1/L2, performing root cause analysis (RCA) to resolve chronic problems and security threats, aligning with ITIL processes.

2. Infrastructure Collaboration: Collaborate with cross-functional infra tower teams to troubleshoot and isolate network-related root causes, ensuring rapid service restoration.

3. Vendor Management: Drive technical resolution by managing network vendor support teams (Huawei) for hardware/software issues, troubleshooting, and patching.

4. Critical Incident Response: Manage high-pressure, critical network incidents (P1/P2) by leading troubleshooting efforts, applying emergency workarounds, and implementing final fixes to minimize business impact.

5. Technical Coordination: Drive technical conference calls with support teams to accelerate problem identification and resolution.

6. Communication & Autonomy: Deliver clear, professional technical communication (verbal/written) and work independently on complex assignments.

7. Process Compliance: Strictly adhere to Customer and Huawei policies regarding change management, standard operating procedures (SOPs), and security standards.

8. Huawei Configuration: Perform daily configuration, commissioning, and optimization of Huawei data communication devices (Routers/Switches/Firewalls) based on customer requirements.

9. Network Insight & Optimization: Perform proactive network analysis and health checks to identify potential capacity bottlenecks or performance degradation.

10. Preventive Maintenance (PM): Execute scheduled preventive maintenance tasks, monitor performance, and provide detailed reporting on network health check results and follow-up actions.

11. Customer Relationship Management: Maintain a professional relationship with the customer, providing proactive technical advice on infrastructure improvements and potential risks.

12. Team Collaboration: Act as a subject matter expert (SME) to provide technical guidance and collaborate with other TDs (Technical Directors/Teams) on complex problem resolutions.

13. High-Pressure Reliability: Demonstrate the ability to work under high pressure with minimal supervision to meet strict SLAs (Service Level Agreements).

This role requires a Diploma/Bachelor’s in Engineering or Computer Science and in-depth knowledge of networking concepts (routing/switching, BGP, OSPF, VLANs, STP). Key requirements include hands-on experience in troubleshooting complex network issues, with preference for experience in VXLAN, Cisco ACI, SD-WAN, and Data Center technologies.

1. Requirements:

- Networking Fundamentals:

In-depth understanding of Routing, Switching, WLAN/LAN/WAN, STP, HSRP, ARP, VLANs, Inter-VLAN Routing, OSPF, and BGP.

- Troubleshooting:

Hands-on experience in troubleshooting complex network problems, including root cause analysis and incident resolution.

- Advanced Technologies:

Experience with advanced technologies such as VXLAN, Cisco ACI, VXLAN BGP eVPN, SDA, and SD-WAN is a distinct advantage.

- Data Center Focus:

Knowledge of Data Center network technologies.

- Soft Skills:

Strong logical thinking, analytical skills, and a willingness to learn.

2. Education:

Diploma or Bachelor's degree in Engineering, Computer Science, or equivalent IT field.

3. Preferred Qualifications:

- Cisco-based environments (Routers, Switches, WLCs).

- Network troubleshooting tools (e.g., Wireshark).

- Network Security basics (Firewalls, VPNs).

Job Description:

The Resident Technical Officer (RTO) is responsible for overseeing daily site operations, ensuring construction works are carried out safely, accurately, and in compliance with approved plans, specifications, and statutory requirements. The role involves supervising contractor activities, identifying discrepancies, monitoring progress, and supporting the project team in ensuring quality and timely execution of all works.

Job Scope:

• Monitor contractors' all type of daily activity, site progress, schedule and safety on site.
• Highlight discrepancies, feedback site progress and non-conformances/ irregularities to QPs/ Consultants/ Employer.
• To ensure all the construction works have complied statutory requirements

Job Requirements:

• Must be registered as Resident Technical Officer (RTO) accredited by JAC of IES/ACES as QSS.
• At least 3 Years of relevant working experience and a diploma in the civil/structural discipline or National Certificate in Construction Supervision (NCCS) or equivalent.
• Must be a team player with strong leadership, communication, and supervision skills.

This is a senior-level IT Network Engineer role focused on high-pressure incident management, troubleshooting, and vendor management within a Financial Services Industry (FSI) environment. It requires strong knowledge of enterprise networks (Firewall/Router/Proxy), ITIL/ITSM processes, and compliance, often involving shift work.

Key Responsibilities for IP Network Engineer:

1. Incident Management: Manage L1/L2 network escalations, security incidents, and critical network outages to minimize business impact.

2. Troubleshooting: Identify root causes for complex network problems by working with infrastructure teams and vendors.

3. Compliance & Audit: Adhere to banking policies, document audit workpapers/findings, and manage compliance/due diligence.

4. Operational Support: Handle change management, vendor assessments, and knowledge management systems.

5. Technical Skills: Deep knowledge of Enterprise Networks (Firewalls, Routers, Proxies, LAN/WAN, TCP/IP).

6. Experience: Previous experience in FSI/banking environments and ITIL processes is highly preferred.

7. Certifications: CCNP, or equivalent network certifications are a plus.

This position requires a Diploma/Bachelor's in Engineering or Computer Science and in-depth knowledge of networking fundamentals (routing, switching, VLANs, OSPF, BGP). Candidates need hands-on troubleshooting experience with routers and switches and strong analytical skills. Familiarity with VXLAN, Cisco ACI, or SDWAN is highly preferred.

1. Key Requirements & Skills:

Networking Concepts: Strong knowledge of LAN/WAN, STP, HSRP, ARP, VLANs, OSPF, and BGP.

Troubleshooting: Advanced hands-on experience in diagnosing complex network problems and isolating root causes.

Advanced Technologies: Knowledge of SDN, SDWAN, Cisco ACI, or VXLAN is an advantage.

Skills: Logical thinking, problem analysis, and documentation skills.

2. Enhanced Qualifications with Huawei Knowledge:

Huawei Routing & Switching: Hands-on experience with Huawei AR routers and S-series switches (e.g., S5700, S6700) and VRP operating system.

Protocol Expertise: In-depth knowledge of Huawei's implementation of OSPF, BGP, STP/RSTP, and VLAN configuration.

Advanced Technologies: Familiarity with Huawei CloudCampus solutions, SD-WAN, and VXLAN/EVPN for data center networking.

Troubleshooting: Ability to troubleshoot Huawei equipment using CLI, checking logs, and using tools to resolve network performance issues.

3. Education: Diploma or Bachelor's in Engineering/Computer Science.

4. Preferred Qualifications: CCNP or equivalent industry certifications. Experience with Wireshark and network monitoring tools.