Total 41 software engineer job vacancies in Information Technology category in Johor Bahru

• Administer enterprise Kafka clusters in Production and UAT.
• Configure broker-level and topic-level settings (retention, replication, partitions, cleanup policies).
• Onboard new applications onto Kafka platform following governance standards.
• Implement SSL/TLS encryption and ACL-based authorization.
• Automate Kafka deployments using Ansible and CI/CD pipelines (Git, Jenkins, Bitbucket).
• Perform rolling upgrades, patching, and version migrations with minimal downtime.
• Executed Disaster Recovery (DR) flip activity to switch Kafka cluster from Active to Passive environment during maintenance and failover testing.
• Monitor cluster health using Prometheus, Grafana, and Confluent Control Center.
• Configure alerting for CPU, memory, log size, ISR shrink, and broker health.
• Optimize cluster performance and ensure high availability.
• Raise and execute Change Requests (CRs) as per release process.
• Provide L2/L3 production support and perform RCA.
• Providing guidance to application teams on best practices for Kafka integration.
• Participate in DR flip and failover testing.
• Support Kafka Connect, Schema Registry, and REST Proxy.

NextLabs® is the leading provider of policy-driven information risk management (IRM) software for large enterprises, provides an exciting opportunity for Performance test engineers to join hands with highly talented product development teams in producing documentation for the next generation data protection and entitlement manager products. Our customers include many prominent enterprises in Aerospace & Defense, Financial Services, and High-Tech Manufacturing and Engineering industries. NextLabs’ flagship data protection and entitlement management products, Enterprise Data Protection and Compliant Enterprise®, combine with the CloudAz XACML-based policy management platform with integrated content aware and identity-driven enforcement technology to offer the most comprehensive information risk management (IRM) solution. Our products preserve confidentiality, prevent data loss, and ensure compliance across more channels and more points, within a single unified solution with the unmatched user acceptance and Total Cost of Ownership (TCO).

We are looking for a talented PERFORMANCE TEST ENGINEER for our award-winning Information Risk Management products. You will be responsible for designing performance test architecture, test plans, executing performance tests and building performance benchmark for cloud and on-premises applications. Join a rapidly growing company that delivers solutions for an increasingly critical component of information technology.

Responsibilities

· Design performance test architecture, strategy and test plans for cloud and on-premises applications.

· Build performance test workload models that can simulate load scenarios.

· Build and maintain a scalable, portable and configurable test scripts.

· Execute load, stress, volume, endurance, spike, break point, and concurrent testing.

· Execute performance compatibility testing on various cloud and on-premise platforms.

· Analyze performance matrices such as response time, throughput, resource utilization and error rates.

· Compare system performance with varying levels of physical resources (Memory, CPU, Disk, Network, etc.).

· Build performance benchmark for component and application levels of systems.

· Deliver various end-user performance test reports.

· Collaborate with Engineering team to develop system capacity planning guidelines based on the performance data.

· Conduct performance profiling across the entire software stack to identify performance bottlenecks.

· Collaborate with Engineering team to address identified issues and optimize performance of the products.

Requirements

• A bachelor's or master's degree in computer science, engineering, or a related field.

• Proven experience (min. 5 years) in performance testing or engineering of enterprise software applications.

• Strong understanding of system architecture, including databases, networks, servers and cloud infrastructure.

• Good understanding of the software stack from the application down to the OS and CPU levels.

• Ability to assess performance testing requirements and prerequisites.

• Experience designing test plans that accurately simulate real-world usage patterns, including various types of performance testing such as load, stress, volume, endurance, spike, break point, and concurrent testing.

• Strong scripting abilities to build and automate performance tests.

• Experience in performance testing of web applications, APIs and database.

• Good understanding of industry-leading performance test tools such as JMeter and HP LoadRunner.

• Experience building performance benchmarks and workloads, performance analysis.

• Expertise in application performance monitoring and profiling tools to identify bottlenecks.

• Strong analytical skills to interpret test results, and suggest optimizations.

• Keep up-to-date with the latest trends, tools and best practices in performance testing and engineering.

• Strong teamwork skills, a self-learning mindset, effective communication abilities, and a can-do attitude.

Interested candidates may send resume to jobs.sg@nextlabs.com or use our online form at https://www.nextlabs.com/team/career/

Senior Software Engineer (Java, SAP / PLM)

NextLab's® is the leading provider of policy-driven information risk management (IRM) software for large enterprises, providing an exciting opportunity for Senior Software Engineers to join hands with highly talented software engineers in building the next generation data protection and entitlement manager products. Our customers include many prominent enterprises in Aerospace & Defense, Financial Services, and High-Tech Manufacturing and Engineering industries. NextLab's flagship data protection and entitlement management products, Enterprise Data Protection and Compliant Enterprise®, combine with the Control Center XACML based policy management platform with integrated content awareness and identity-driven enforcement technology to offer the most comprehensive information risk management (IRM) solution. Our products preserve confidentiality, prevent data loss, and ensure compliance across more channels and more points, within a single unified solution with the unmatched user acceptance and Total Cost of Ownership (TCO).

We are seeking highly motivated software engineers to join our global agile scrum team, where they will design and develop cutting-edge solutions and innovative products. A successful candidate will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Responsibilities

• Write well structured, testable,efficient, reusable, maintainable and scalable code
• Collaborate with global teams to define, design, and develop cutting edge software applications using Java.
• Stay up to date with software technologies and methodologies

Requirements:

• Possess at least a bachelor’s degree/Diploma in computer science or a related field
• Strong understanding of software architecture, programming principles and design patterns in Java.
• Good understanding of networking fundamentals.
• Hands-on experience with Spring Boot, Spring MVC, Hibernate, Junit, Gradle/Maven.
• Experience designing and developing REST APIs.
• Working knowledge of one or more RDMS like PostgreSQL, Oracle, or Microsoft SQL.
• Experience with reverse engineering, AspectJ (AOP), or code injection techniques is a plus.
• Experience with SAP or PLM systems like Teamcenter, Windchill, Enovia is a plus.
• Understanding one or more cloud platforms like AWS, GCP, Azure, OpenShift, Rancher is a plus.
• Basic knowledge of UNIX, shell scripting.
• Strong organizational and communication skills.
• Strong analytical and troubleshooting skills
• Self-motivated and ability to learn new technologies.
• Minimum of 4 years of professional experience in Java development.

Interested candidates may send resume to jobs.sg@nextlabs.com or use our online format https://www.nextlabs.com/career.

RESPONSIBILITIES

• Help and contribute to the design of overall architecture of the web application.
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Maintain code integrity and organization.
• Experience working with graphic designers and converting designs to visual elements.
• Understanding and implementation of security and data protection.
• Design and build scalable REST APIs for micro services.
• Proficient experience using front-end frameworks
• Highly experienced in building responsive websites
• Experience with cloud APIs (AWS)
• Knowledge of code versioning tools (GIT)
• Must be able to write unit test for both front-end and backend code
• Must be able to code using good patterns and practices
• Must be able to document code and provide API documentation i.e. swagger

EXPERIENCE
• Minimum 5 years of application development
• At least 3 years of experience being a full stack engineer.
• Minimum 5 years’ experience with a backend framework such as Java (Spring Boot), NodeJs or other similar stacks e.g. dotnet core, Ruby on Rails.
• Experience with web/application servers such as TomCat, JBOSS, Weblogic.
• Commanding grasp of HTML, CSS and JavaScript
• At least 5 years’ experience front end work using Javascript Frameworks; React or Angular is a must have.
• At least 5 years’ experience with using a RDBMS like MySQL, and object caches like Memcached and/or Redis.
• Experience with AWS products such as S3, ECS, ELB, API Gateway
• Experience with MS SQL / Oracle databases

Job responsibilities :

Functional Requirement Specifications, Testing and Documentation:

• Draft functional specifications, and system performance requirements and interface definitions across software and embedded systems

• Define unit tests and detailed system integration documents, additionally to any other documents required during the project lifecycle

• Enable and support functional and user acceptance testing

• Develop final documentation and train Users

Architect and Design :

• Lead the architectural design of cloud-based SaaS application on AWS, utilizing relevant services to ensure scalability, security, and performance, with CI/CD integration

• Implement strategies to optimize application performance, addressing latency, and ensuring responsiveness across diverse devices and platforms

Machine Learning :

• Support the integration of machine learning models into production systems.

• Ensure efficient deployment for real-time or near–real-time inference, with attention to system performance and user experience.

• Embedded Systems & Firmware Development

• Develop and maintain firmware for STM32F4 series microcontrollers, including peripheral configuration, drivers, and low-level hardware interaction.

• Support communication between firmware and higher-level applications running on Windows.

• Debug and optimize firmware–software interactions for reliability and performance.

• Edge Computing & Raspberry Pi Development

• Develop applications on Raspberry Pi 5, running Linux-based systems.

• Interface Raspberry Pi with external peripherals, including but not limited to:

• Motor drivers and motion control systems

• Camera modules and camera control pipelines

• Support edge-to-cloud commuSensors and other I/O devices (GPIO, I2C, SPI, UART, etc.)nication.

Applications Development :

• Full-stack software development on backend and frontend (eg Python, SQL, REST, JavaScript, TypeScript / node.js + React framework) for the SaaS

• Applications development on Windows environment to communicate with the firmware of the IOT optical device

• Oversee the applications development on iOS and Android

Data Management :

• Design the architecture and system for effective data storage, retrieval, and management in a cloud environment, ensuring compliance with data privacy and security standards.

Team Collaboration across Disciplines :

• Work closely with cross-discipline teams, including AIML engineers, UI/UX designers, firmware engineer and IOT-hardware engineers, to ensure a cohesive development process to integrate hardware and/or software systems

Qualifications and skills :

• Bachelor's degree or higher in Software Engineering, Computer Science or a related field

• Minimum 3 years of hands-on experience in system architecture and system development, with a solid understanding of AI, machine learning, and deep learning principles

• Hands-on coding and software design experience building robust and scalable software using Python, C+, SQL, REST, JavaScript, TypeScript / node.js + React/Angular framework

• Hands-on experience / familiar with STM32F4 microcontrollers and embedded firmware development.

• Experience developing applications on Raspberry Pi 5.

• Experience interfacing with hardware peripherals (motors, cameras, sensors, serial protocols).

• Experience in building data intensive applications in a modern technology stack Cloud services (AWS, Azure), data pipelines, SQL/No-SQL databases

• Experience building and consuming web-based APIs

• Familiar with continuous deployment environments (eg Jenkins) and test-driven development

• Good understanding and practical experience on Docker, CI/CD and Kubernetes

• Strong knowledge and practical experience of Micro services architecture.

• Strong knowledge of source code management tools such as Git

If you have aspirations to be part of a dynamic team to pioneer game-changing AI solutions for the Gemstone industry, please send your resume to us.

* Ability to analyse relevant documents to obtain an understanding of the requirements.

* Identifying the required test scenarios, test case preparation, and test data preparation to ensure sufficient test coverage.

* Execute test cases and test plans to support the quality assurance activities throughout the software lifecycle.

* Finding bugs through systematic and/or ad-hoc testing and troubleshooting.

* Must have the ability to escalate issues in a timely manner.

* Understand problems from the customer's perspective.

* Willingness to learn new technologies, approaches, and test tools.

* Able to work independently and be a Team Player with good interaction skills.

* Understanding of Software Development Life Cycle Process (SDLC) and QA methodology.

* Knowledge and experience in analyzing Software Requirement Specifications and identifying the required test scenarios.

* Knowledge in J2EE Application Development, Database Technologies, Web Development, WebServices, Spring and Hibernate Framwork, React-Native Framework, ... etc.

* Work closely with Development and Project Delivery Team

* Able to manage time efficiently.

* Good command of English (spoken & written)

* Diploma / Bachelor’s Degree (Preferred)

* 1 to 3 years’ solid experience on professional software testing experience is a plus. Fresh Grads are welcome to apply.

This is a full-time role for a Data Engineer. The Data Engineer will be responsible for designing and implementing scalable data pipelines, developing and maintaining data models, performing Extract, Transform, Load (ETL/ELT) processes, and managing modern data warehousing and analytics solutions—primarily utilizing Microsoft Fabric and Databricks. The role also includes building and operationalizing lakehouse architectures, ensuring data governance and security best practices, and analyzing complex datasets to support business decision-making. Collaboration with cross-functional teams to deliver high-quality data solutions is essential. 

Qualifications 

• Strong proficiency in Data Engineering, Data Modelling, and building Lakehouse/Data Warehouse solutions 

• Demonstrates strong proficiency in Medallion architecture and metadata-driven concepts. 

• Hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake, Data Activator, Power BI integration) 

• Hands-on with Databricks (Spark, Delta Lake, DLT pipelines, Unity Catalog) 

• Proficiency in ETL/ELT development and orchestration within Azure ecosystem 

• Strong skills in Data Analytics using SQL, Python or PySpark 

• Knowledge of Cloud-native data platforms including Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Storage, etc. 

• Understanding of data governance, security, and CI/CD best practices for cloud data platforms 

• Strong problem-solving and analytical skills 

• Ability to work independently and remotely in a fast-paced environment 

• Bachelor’s degree in computer science, Information Technology, or related field 

Responsible for the design and delivery of DeltaV application system on site.

Participate in the development and implementation of Automation solutions in line with S88 standards for the plant.

Creates and maintains applications according to technical design and requirements.

Develop and/or review System Development Life Cycle (SDLC) deliverables, compliant with the site's standards. Determine the processes and data flow that supports the needs of the project.

Design & Develop plan for modifications to be made to the system through working with team in development of systems architecture, specifications, controls strategies, sequence of operations through all stages.

Requirements

Experience in a similar role, ideally in the Pharmaceutical and/or Biotechnology industry.

Emerson DeltaV DCS system experience and DeltaV Batch experience required

Experience in the Designing and commissioning of DeltaV DCS project for GMP manufacturing site.

Technical proficiency on controls systems including familiarity with control panels, networking, panel/field wiring and PLC control systems.

Through understanding of Batch s88 standards (CM, EM, Phases, Recipes, Units etc)

Familiarity with GAMP lifecycle and quality management processes employed in the pharmaceutical sector

Ability to work well in a team environment

Supervise and conduct system testing Factory Acceptance Test (FAT)

Excellent computer skills, proficient in the use of the following Microsoft tools: Excel, SharePoint, Word and PowerPoint.

Excellent communication and customer orientation skills

Good analytical & problem-solving skills

Ensure project Automation Strategy is followed.

Job responsibilities:

• Develop machine learning computer vision applications in object detection, classification, segmentation and recognition for gemstones

• Develop LLM-applications specific to gemstone domain leveraging on latest frameworks

• Conduct User requirements, scope the AI/computer-vision project and prepare documents to define nature of dataset required for machine-learning model training 

• Work collaboratively with an entrepreneurial team of IOT-product engineers, machine learning & data scientist and software engineers, both in-house or Vendors, to successfully develop and deploy a cutting-edge solution

• Develop a comprehensive MLOps environment to manage the entire lifecycle and pipeline of machine learning projects, as well as maintain a well-documented code repository

• Conduct research and product development projects using internal gatekeeping process, prepare project and user requirements specifications, execute experiments and investigations, document and report findings, communicate to key stakeholders, and handover to downstream teams

• Execute the necessary data preparation & pre-processing, AI-model building, testing, validation and deployment to ensure reliable and scalable AI solution

Requirements:

• Bachelor’s or master’s degree in computer science, data science, artificial intelligence or related engineering fields.

• Minimum 3 to 5 years of proven experience in developing ML/DL architectures to solve real-world computer vision problems

• Strong proficiency in Python with hands-on experience in mainstream deep learning frameworks (PyTorch and TensorFlow) and their associated computer vision libraries (e.g., OpenCV, torchvision, timm, Hugging Face Transformers)

• Experience in computer vision with OpenCV and modern deep learning architectures, with a strong emphasis on Vision Transformer (ViT)-based models (e.g., DETR, DINOv2, SAM) and vision–language foundation models such as CLIP and its variants (SigLIP, BLIP); working knowledge of contrastive learning, self-supervised pre-training, and few-shot / zero-shot adaptation for downstream tasks including detection, segmentation, classification, and retrieval

• In-depth understanding of digital image processing, image transformation techniques, real-time image analytics and feature extraction in computer vision

• Experience in large-scale image data processing and architecting of data pipelines

• Possess data storytelling, information visualisation and technical writing skills

• Excellent research and problem-solving abilities, whilst maintaining curiosity about new things and enthusiasm to learn and share latest methods/techniques within the team

• Hands-on experience with cloud platforms (AWS, GCP) and modern backend/serving stacks (FastAPI, Redis, Docker) for end-to-end AI model development, deployment, and scalable inference

• Hands-on proficiency with modern AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot), including their extensibility features such as Skills, Plugins, sub-agents and MCP integrations; strong prompt-engineering skills and the ability to leverage AI-assisted development workflows productively in day-to-day engineering tasks

• Command good communication and collaboration skills, with a strong sense of responsibility, integrity and reliability

Job Summary

We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on technical leadership, strategic architecture oversight, and people management, driving excellence across the full software lifecycle while embedding AI/ML capabilities into core products and platforms.

Key Responsibilities

Software Engineering Leadership

1. Establish and maintain robust processes and documentation across the Software Product Lifecycle, from inception to retirement.
2. Oversee the end-to-end application lifecycle—including requirements analysis, system design, development, testing, deployment, release, and post-launch support.
3. Take ownership of critical technical components: UI/UX design, business logic, data access layers, external API integrations, and database schema design.
4. Evaluate and recommend tools, frameworks, and methodologies to ensure product quality, scalability, and maintainability.
5. Deliver production-ready software by writing clean, efficient, and well-documented code.
6. Mentor and coach engineering teams in: Writing comprehensive unit and UI tests, troubleshooting, debugging, and performance optimisation, designing intuitive user interfaces and developing real-time and batch data processing systems
7. Collaborate with Sales, Product, and Project teams to scope, prioritise, and deliver new features.
8. Ensure both new and legacy systems adhere to quality, security, and compliance standards.
9. Proactively research and propose new software products, tools, and architectural improvements.
10. Maintain thorough technical documentation for sustainability and knowledge transfer.
11. Keep abreast of emerging technologies and industry best practices.
12. Recruit top talent and design individualised training and career development plans.

AI/ML Strategy & Execution

1. Design, develop, and optimise AI models, leveraging both open-source and proprietary resources.
2. Build scalable AI solutions using cloud platforms (AWS/Azure/GCP), data pipelines, and modern databases.
3. Implement and deploy NLP, LLMs, and other AI frameworks for real-world use cases.
4. Architect and deliver RESTful APIs to expose AI capabilities to internal/external systems.
5. Apply Retrieval-Augmented Generation (RAG) to improve relevance, accuracy, and trustworthiness of AI outputs.
6. Practise advanced prompt engineering, including instruction tuning, templating, and fine-tuning strategies.
7. Embed AI development within CI/CD pipelines, enforcing test-driven development and reproducible workflows.
8. Conduct rigorous evaluation of models using appropriate metrics, benchmarks, and validation protocols.
9. Continuously monitor advancements in AI/ML research and translate them into business value.
10. Partner with stakeholders to convert business challenges into AI-powered solutions.
11. Ensure seamless integration of AI components with existing software ecosystems.

Requirements

Experience & Technical Background

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 10+ years of hands-on software development and leadership experience.
• Proven track record as a Team Lead or Tech Lead, managing end-to-end software projects.
• Strong domain experience in cybersecurity (especially European standards), IP telephony, and data networking, ideally in a project or technical management capacity.
• Demonstrated portfolio of released mobile/web applications (App Store, Play Store, or enterprise deployments).
• Proficiency in multiple programming languages: Essential: SQL, Python, Strongly preferred: Node.js, TypeScript, C#, JavaMobile: Swift, Objective-C, Java (Android), plus hybrid frameworks (e.g., React Native, Flutter)
• Expertise in: SDLC & Agile methodologies, data modelling, and relational (RDBMS) & NoSQL database design, REST/SOAP API integration, Cloud-based AI/ML deployment (AWS/Azure/GCP) (a plus), ML frameworks (TensorFlow, PyTorch) (a plus)

AI/ML Competencies

• Solid foundation in machine learning (supervised/unsupervised learning, neural networks, optimisation, evaluation metrics).
• Experience with data preprocessing, feature engineering, and SQL for AI pipelines.
• Deep understanding of algorithms, data structures, and their role in scalable ML systems.
• Familiarity with MLOps practices, including CI/CD for AI, model versioning, and monitoring.

Soft Skills & Attributes

• Exceptional verbal and written communication, able to explain technical concepts to non-technical audiences.
• Strong organisational, multitasking, and prioritisation skills.
• Self-motivated, independent, and able to thrive with minimal supervision.
• Collaborative team player who can inspire, mentor, and align engineers toward shared goals.
• Adaptable under pressure, with a bias for action in fast-paced environments.
• Committed to lifelong learning and technology innovation.
• Willingness to travel as required.

Job Summary

TheNetwork and System Engineer is responsible for the design, implementation,administration, maintenance, security, and troubleshooting of ITinfrastructure, including servers, networks, firewalls, and related systems.The role supports both internal and customer-facing environments, ensuringsystem reliability, security compliance, and operational efficiency.

Key Responsibilities

Infrastructure & SystemsManagement

• Perform installation, migration, administration, maintenance, and troubleshooting of servers and IT systems.
• Design, install, configure, and maintain servers, network devices, and firewall systems.
• Proactively monitor and maintain system, network, and security infrastructure to ensure optimal performance and availability.
• Apply operating system updates, patches, security fixes, and configuration changes.
• Conduct system health checks, hardening activities, and remediation works.

Network & Security Administration

• Administer and support enterprise network and security environments, including data centre
• Maintain perimeter security systems such as firewalls and intrusion detection/prevention systems.
• Ensure compliance with cybersecurity and security hardening requirements.
• Manage and troubleshoot TCP/IP networking, VPN connectivity, switches, routing, and related network services.

Incident Management &Troubleshooting

• Analyse, troubleshoot, and resolve system, application, hardware, software, security, and network-related issues both remotely and on-site.
• Investigate incidents through system and network logs and identify root causes and preventive measures.
• Document incident reports and maintain records of system and network performance.
• Provide first and second-level technical support and coordinate issue resolution with vendors and internal stakeholders.

Project & Change Management

• Execute standard operational changes and project-related changes within approved maintenance and change windows.
• Participate in infrastructure projects, system enhancements, and new technology implementations.
• Support automation and scripting initiatives to improve operational efficiency.
• Assist in requirement gathering, solution design, implementation, and deployment of new systems and services.

Documentation & Vendor Management

• Maintain accurate technical documentation, including system architecture, configurations, operating procedures, process flows, and support guidelines.
• Liaise with vendors, service providers, and internal IT teams for issue resolution and project implementation.

Support & Operations

• Provide after-hours support for infrastructure incidents and scheduled maintenance activities.
• Participate in a 24x7 standby rotation roster.
• Travel to customer and project sites across Singapore when required.

Requirements

Education

• Degree or Diploma in Information Technology, Computer Science, or a related discipline.

Experience

• 3-5 years of relevant experience in systems, network, and security administration.
• Experience supporting enterprise infrastructure environments, including on-premises.
• Hands-on experience with Windows Server administration and Active Directory/LDAP user management.
• Experience with firewall, network, and security technologies.

Technical Skills

Strong knowledge of:

• Windows Server environments
• Active Directory / LDAP
• TCP/IP networking
• VPN technologies
• Network switches and routing
• Firewalls and security appliances
• Infrastructure monitoring and troubleshooting
• Scripting and automation tools
• Ability to diagnose and resolve hardware, software, system, middleware, and network issues.

Description

As a Network Engineer L2, you will be responsible for the following :-

• Monitor and manage network infrastructure and UPS systems to ensure optimal performance and availability.
• Perform real-time network monitoring and respond promptly to alerts and incidents.
• Troubleshoot and resolve Level 2 network issues within established SLA timelines.
• Escalate complex issues to relevant teams or vendors when required.
• Track, document, and maintain incident records through the ticketing system.
• Prepare incident reports and support post-incident reviews.
• Execute scheduled preventive maintenance activities on network and UPS infrastructure.
• Perform corrective maintenance to restore services and minimize downtime.
• Coordinate with vendors and internal stakeholders during maintenance activities.
• Maintain accurate maintenance records and prepare monthly preventive maintenance reports.
• Provide support for network configuration, implementation, and optimization activities.
• Execute approved network changes in accordance with change management procedures.
• Validate and document configuration changes to ensure compliance and operational stability.
• Assist in network upgrades, migrations, and deployment projects.
• Prepare and submit monthly SLA performance reports.
• Generate monthly network performance and availability reports.
• Produce monthly incident management reports and trend analysis.
• Maintain up-to-date network documentation, inventory records, and operational procedures.

The Network Engineer (L2) will support and maintain the following infrastructure:

• Routers
• Switches
• Firewalls
• IPS (Intrusion Prevention Systems)
• IDS (Intrusion Detection Systems)
• NAC (Network Access Control) Systems
• Load Balancers
• Wireless Infrastructure
• Media Converters
• UPS (Uninterruptible Power Supply) Systems
• Other related network devices and components

Requirements

• Minimum Diploma in IT and has fundamental knowledge in Network.
• 1 year of experience as a Network Engineer L2
• Candidates with a CCNA certification will have an added advantage.

• A strong team player with the ability to collaborate and willingness to support others.
• Have strong communications skills and ability to resolve issues or inquiries effectively.
• Able to work rotational shifts: 1st Shift (08:00 - 20:00 hours) & 2nd Shift (20:00 - 08:00 hours).
• Successful applicants for this position should be ready to work primarily at Woodlands Checkpoint. However, they may also be assigned to work at Tuas checkpoint in the future on a rotational basis.

Benefits

• Shift Allowance
• Performance Bonus

Role Overview

We are seeking a PLM Application Engineer to support, configure, customise and enhance our ProductLifecycle Management (PLM) systems. The candidate will collaborate with engineering, IT, and business teams to optimize product data management and lifecycle processes.

Key Responsibilities

• Install, Configure, customize, and maintain PDM/PLM systems (e.g., Teamcenter, Windchill, ENOVIA)
• Support engineering and manufacturing teams in using PDM/PLM tools
• Gather business requirements and translate them into system solutions
• Develop workflows, BOM structures, and data models within the PDM/PLM system
• Troubleshoot system issues and provide technical support
• Integrate PDM/PLM with enterprise systems using both Java APIs and RESTful web services
• Perform system upgrades, testing, and validation
• Document processes, configurations, and user guides
• Develop on Single-Page-Application development
• Train end users and provide continuous improvement recommendations
• Understand customer challenges in PDM/PLM adoption and proactively deliver out-of-the-box and custom solution

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• 2–5+ years of experience with PDM/PLM systems
• Hands-on experience with at least one PDM/PLM platform (Windchill, Teamcenter, ENOVIA, etc.)
• Knowledge of product lifecycle processes (design, manufacturing, change management)
• Familiar with CAD tools (e.g., Creo, SolidWorks, CATIA, NX), and integration of CAD tools with PDM/PLM system
• Programming or scripting skills (Java, JSP, Python, C++, or similar)
• Strong problem-solving and analytical skills
• Familiar with React library and Angular framework
• Knowledge on using ETL tools to migration data to PDM/PLM system
• Understanding of change management practices and adoption challenges
• Familiar with OData services and development of REST-APIs
• Good understand on eBOM, mBOM, and BOP transformation/authoring processes

Preferred Skills

• Experience with system integrations (APIs, middleware)
• Good programming and problem-solving skills
• Database knowledge (SQL, Oracle)
• Understanding of ERP systems (SAP, Oracle)
• Experience in manufacturing, aerospace, automotive, or electronics industries

Soft Skills

• Strong communication and stakeholder management
• Ability to work cross-functionally
• Detail-oriented with strong documentation skills
• Ability to manage multiple priorities

Salary range
S$4,000~

We are seeking a detail-oriented Network Engineer. You will ensure our local and wide area networks (LAN/WAN) operate with maximum uptime, security, and efficiency. You will play a pivotal role in optimizing performance, troubleshooting issues, and scaling digital infrastructure to support business continuity.

Key Responsibilities

• Infrastructure Design & Build: Design, configure, and maintain network hardware and software configurations, including routers, switches, firewalls, and VPNs.
• Performance Monitoring: Monitor network bandwidth, traffic, and system resources to ensure optimal data throughput. Proactively identify and resolve potential issues.
• Troubleshooting: Serve as the primary escalation point (L2/L3 support) for complex network connectivity and hardware problems.
• Security & Compliance: Develop, implement, and maintain network security policies, ensuring systems are protected against unauthorized access and cyber threats.
• Documentation & Capacity Planning: Create and maintain comprehensive technical documentation, network diagrams, and disaster recovery plans.
• Vendor Management: Collaborate with third-party support and service providers for telecom lines, hardware procurement, and vendor-specific issue resolution.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
• Experience: 3+ years of hands-on experience in network engineering, infrastructure administration, or related IT roles.
• Networking Protocols: Deep understanding of TCP/IP and routing/switching technologies (e.g., BGP, OSPF, MPLS).
• Hardware Knowledge: Proven experience managing devices from vendors like Cisco, Juniper, or Fortinet.
• Security: Strong understanding of access control models, firewalls, and network diagnostic/monitoring tools (e.g., SolarWinds, Wireshark).
• Automation: Familiarity with scripting languages for network automation (e.g., Python, Perl) is highly preferred.
• Certifications: Certifications such as CCNA, CCNP, or CompTIA Network+ are a strong plus.

We are seeking a qualified Network Automation Engineer with at least 5 years of hands on experience in enterprise networking, network automation, and SDN technologies. The ideal candidate will design, develop, validate, and maintain automation solutions that adhere to industry best practices—spanning Cisco NX OS/Catalyst platforms.

This role requires expertise in automation frameworks, scripting, network provisioning, troubleshooting workflows, and NX OS/Catalyst operational tooling.

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Key Responsibilities

Network Automation & Development

• Design, build, and maintain network automation frameworks to streamline provisioning, configuration, compliance, and lifecycle operations.

• Develop automation using Python, Ansible/ Terraform, REST/NETCONF/NMI APIs, and YAML.

• Implement Infrastructure as Code using:

o Ansible Tower / AWX

o GitLab repositories

o Azure DevOps CI/CD pipelines

o CyberArk Vault for secure credential and secrets handling.

• Establish coding standards, documentation practices, and reusable automation modules.

Architecture, Governance & Best Practices

• Translate business requirements into scalable network automation architecture.

• Define automation governance, templates, naming standards, and deployment guidelines.

• Conduct code reviews and enforce security, compliance, and audit rules.

• Recommend enhancements and assess emerging technologies.

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Experience in the following Network automation:

NX OS & Catalyst Deployment

• Provision devices using provided templates:

o Interfaces, VLANs, IPs, hardening constructs

o HSRP, LACP port channels

o ACLs

o Static & dynamic routing (OSPF/BGP)

• Perform automated validation and compliance checks.

Network Health Monitoring, Logs & Troubleshooting

• Automated health checks (fabric topology, device status, endpoint connectivity).

• Fault detection & remediation for NX-OS/Catalyst

• Collect diagnostic logs & performance data for RCA.

• Automate network devices backup with version control.

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Required Qualifications

• At least 5 years of enterprise networking & automation experience.
• Cisco CCNP, CCIE Professional

• Red Hat Ansible Tower / Terraform Certified