Total 2,191 Information Technology job vacancies

• Salary Range: $3000 to $4500 + AWS + VB
• Excellent Welfare and Benefits + Career progression
• Working location: North-east
• Working hours: 8:30am – 5:30pm

Job Responsibilities:

• Responsible for software prototyping, system/module design, coding deployment and recommending solutions for various SCADA projects
• Constantly review and improve on existing codes
• Design, build and maintain efficient codes
• Communicate with all internal levels including customers and our contractors to clarify technical issues
• Co-ordinate with other disciplines and execute the project efficiency in order to meet schedule
• Perform Factory Acceptance Test (FAT) in accordance to the requirements set out in the Vendor's Tender Document
• Perform preventive maintenance of server equipment
• Perform troubleshooting and production support at customers' sites

Requirements:

• Experience in C# and MSSQL report programming
• Experience in network, firewall hardening and configuring
• Experience in CCTV, Card Access system implementation
• Has knowledge in Windows and Unix environment and MSSQL database

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Overview

We are looking for a Senior Data Engineer with strong expertise in cloud platforms and AI-driven solutions. The ideal candidate will have hands-on experience in building scalable data platforms, leading AI initiatives, and managing end-to-end delivery in a cloud-native environment.

Key Responsibilities

• Design and implement scalable data engineering solutions using cloud-native architectures on Azure and AWS
• Lead end-to-end delivery of generative AI projects or AI-powered platforms
• Translate business requirements into robust technical solutions and manage delivery timelines
• Coordinate cross-functional teams including developers, cloud engineers, and data scientists
• Provide technical leadership, mentoring, and guidance to engineering teams
• Ensure adherence to cloud security best practices, including IAM and data privacy for AI workloads
• Troubleshoot complex issues related to AI model deployment and cloud infrastructure

Key Requirements

• Strong proficiency in cloud-native architectures and services on Azure and AWS
• Proven track record in delivering Generative AI / AI-powered platforms
• Experience in technical solutioning and delivery management
• Hands-on experience working with cross-functional teams
• Strong mentoring and leadership skills
• Knowledge of cloud security, IAM, and data privacy practices
• Ability to troubleshoot complex AI and infrastructure issues

Our client is a one of the leading players in the Industrial Manufacturing industry. Due to business needs, they are now recruiting a Application Engineer to be part of their Sales team to support their business needs. They are located in the East - easily accessible.

Job Responsibilities of Application Engineer:

• Evaluate technical requirements of sales opportunities and recommend suitable product solutions
• Advise customers on product selection for standard and specialized applications
• Review customer specifications to assess feasibility and solution fit
• Prepare and support technical proposals for standard, modified, or custom solutions
• Provide product training and technical presentations to customers
• Offer on-site support including product selection, installation guidance, and troubleshooting
• Handle and resolve technical complaints effectively
• Support marketing activities such as trade shows, promotions, and technical content development
• Gather customer feedback to support product improvements and new product development
• Assist in product launches and product line optimization initiatives
• Build and maintain strong relationships with internal and external stakeholders
• Coordinate projects and ensure clear communication across teams
• Apply structured problem-solving and process management tools

Requirement

• Degree in engineering field
• 5-10 years of application engineer experience in industrial manufacturing sector
• Comfortable with overseas travelling

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Full Stack Software Engineer

You will work in Singapore Government Agencies

Internal Code: A26136

This is a fixed term contract role. The engagment is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Responsible for designing, developing, deploying, and maintaining scalable, high-performance, and secure web applications
• The role requires expertise in frontend and backend development, cloud technologies, DevOps automation, and application security. 
• Engineers must work in an agile, DevOps-driven environment, ensuring high software quality, security, and maintainability. 
• Take full ownership of end-to-end application development, integrating frontend, backend, and cloud infrastructure.
• Design, develop, and maintain responsive, accessible, and performant web applications.
• Implement modern frontend architectures, ensuring reusability, scalability, and security. 
• Develop high-performance backend services and APIs, ensuring reliability, security, and observability.
• Work with Quality Assurance (QA) engineers to ensure automated test coverage and proactively fix bugs and defects.
• Optimize full-stack CI/CD deployment strategies, ensuring seamless and automated releases.
• Work with DevOps teams to automate infrastructure provisioning, monitoring, and cloud deployments.
• Ensure full-stack security, including authentication, authorization, API security, and frontend security best practices.
• Continuously evaluate and adopt emerging technologies to improve application performance and developer productivity.

What are we looking for?

• Ability to build, architect, & deliver end-to-end GIS-enabled tools that ingest data from various government sources, validate and transform it, and render front-end maps and dashboards.Develops robust APIs, authentication, and data access controls; implements GIS data models (PostGIS/GeoServer/ArcGIS) and integrates with cloud deployment, CI/CD, and testing pipelines.
• Delivers performant, accessible map-based visualizations and tools (e.g., interactive maps, layers, filters) that enable analysts and decision-makers to explore geospatial data.

Your Mission

This position is responsible for designing and developing intelligent coordination strategies for large-scale robotic fleets operating in production environments. As a Robotics Software Engineer specializing in Fleet Management Algorithms, you will focus on optimization, scheduling, task allocation, routing, and simulation to enhance the operational efficiency, scalability, and robustness of autonomous mobile robot (AMR) systems. The role combines algorithm research, large-scale experimentation, and production system integration to address challenges in multi-agent coordination and multi-stage logistics operations, ultimately improving fleet performance and overall operational efficiency.

What To Expect

• Design and develop algorithms for robotic fleet management, including task assignment, scheduling, routing, and resource allocation.
• Develop strategies to improve multi-robot coordination, traffic management, and mission dispatching in dynamic operational environments.
• Build and maintain simulation and testing environments to evaluate fleet strategies and validate system performance.
• Analyze robot telemetry and operational data to identify system bottlenecks and drive continuous improvement.
• Develop scalable software components and services that integrate with robotic systems using modern communication frameworks.
• Collaborate with cross-functional teams to ensure the reliable deployment, integration, and operational performance of fleet management solutions.
• Document system designs and stay up to date with advancements in robotics, multi-agent systems, and logistics optimization.

What You'll Bring

• Master’s or Ph.D. degree in Computer Science, Robotics, Operations Research, Electrical Engineering, or a related field, with experience in robotics, optimization, or large-scale distributed systems.
• Strong background in algorithms, optimization, and operations research, including scheduling, routing, and graph-based methods.
• Proficiency in Python, C++, or C#, with experience developing scalable and maintainable software systems.
• Experience developing algorithms for multi-agent systems, path planning, robotic coordination, task allocation, or fleet management.
• Experience building simulation environments and experimentation frameworks to evaluate algorithm performance.
• Familiarity with real-time systems, control theory, and optimization methods.
• Familiarity with system integration technologies such as RESTful APIs, MQTT, and distributed service architectures.
• Strong data analysis skills, including analyzing robot telemetry, operational logs, and system performance metrics.
• Experience with large-scale optimization, logistics system design, or robotics middleware (e.g., ROS2).
• Experience working with robotic fleets or large-scale logistics/automation systems, including simulation and operational experimentation.
• Proven ability to translate research or algorithmic innovation into practical production systems; publications or research contributions are a plus.

Job Description:

• Design, develop, and maintain end to end data pipelines for ingesting, transforming, and delivering data from multiple source systems (databases, files, APIs, streaming platforms).
• Build and optimize ETL / ELT workflows using SQL, Python, and enterprise data integration tools.
• Ensure data pipelines are scalable, resilient, and performant to meet operational and analytical requirements.

Database & Data Platform Management:

• Work hands on with RDBMS platforms such as Oracle, DB2, SQL Server, or PostgreSQL for data extraction, transformation, and performance tuning.
• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics use cases.
• Support data modelling activities (logical and physical) for analytics and reporting layers.

Data Quality, Governance & Operations:

• Implement data validation, reconciliation, and monitoring to ensure data accuracy, completeness, and consistency.
• Support operational data activities, including incident investigation, root cause analysis, and remediation.
• Maintain clear documentation for data pipelines, schemas, and operational processes to support audits and knowledge transfer.

Collaboration & Stakeholder Engagement:

• Collaborate with business users, product owners, and downstream teams to gather requirements and translate them into technical solutions.
• Work closely with Data Analysts, BI developers, and Data Scientists to enable dashboards, reports, and advanced analytics.
• Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Strong hands on experience with SQL and relational databases (Oracle, DB2, SQL Server, PostgreSQL).
• Experience building and supporting ETL / data pipelines in enterprise environments.
• Solid understanding of data modelling, data quality, and data lifecycle management.
• Ability to troubleshoot data issues and work in production / operational environments.
• Experience with Python for data processing or automation.
• Experience with data streaming technologies (e.g. Kafka, Spark, NiFi).
• Experience with BI and visualization tools such as Tableau, Qlik, or Power BI.
• Knowledge of cloud or hybrid data platforms and orchestration tools.
• Knowledge of Agile / DevOps practices and CI/CD for data pipelines.
• Minimum 2 years working experience.
• 3 must have skillset: SQL, Python, Tableau.

Role: CloudEngineer (GCC)

KeyResponsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

RequiredQualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Role: CloudEngineer (GCC)

KeyResponsibilities:

• Manage the day-to-day operations of Government Cloud (GCC) Microsoft Azure infrastructure, ensuring stability, performance, and security.
• Lead the implementation of Azure cloud projects from planning and design through deployment and documentation.
• Work collaboratively with application, infrastructure, and network teams to support deployments, troubleshoot issues, and align on architectural decisions.
• Design, configure, and manage Azure Virtual Networks and Subnets, enabling secure and scalable cloud environments.
• Configure and maintain Network Security Groups (NSG) to enforce traffic control policies.
• Deploy, configure, and support Azure Load Balancers (LB) for high availability and optimal performance.
• Implement and manage Web Application Firewall (WAF) policies to protect web applications from threats and vulnerabilities.
• Configure and administer Azure DNS for name resolution and service discovery.
• Set up and maintain route tables and virtual network peerings to support hybrid, multi-region, and cross-subscription architectures.
• Integrate and manage syslog solutions and maintain the Azure Log Analytics Workspace for effective monitoring, diagnostics, and auditing.
• Oversee the procurement, management, and renewal of SSL certificates related to WAF and firewall infrastructure.
• Automate infrastructure provisioning and configuration using Terraform, adhering to Infrastructure-as-Code (IaC) standards.
• Ensure adherence to security best practices, compliance standards, and organizational policies.
• Participate in incident response and root cause analysis related to Azure infrastructure.
• Continuously assess the environment for performance improvements, cost optimizations, and new service adoption opportunities.
• Develop performance and operational reports.

RequiredQualifications:

• Certified in Microsoft Azure Administrator Associate (AZ-104) is mandatory.
• Certified in Cisco Certified Networking Associate (CCNA) will be a plus.
• Bachelors Degree or Diploma in Information Technology, Computing or equivalent
• 2–3 years of experience working with Azure infrastructure in GCC 1.0 and 2.0 environment.
• Proven hands-on experience with Terraform for Azure automation.
• Strong knowledge of Azure networking, security, and monitoring tools.
• Familiarity with logging analysis and monitoring via Azure Monitor and Log Analytics.
• Good understanding of ITIL processes, including Incident, Problem, Change, and Configuration Management.

Pre-requisites

• Diploma or Bachelor’s Degree in Computer Science, Computer Engineering, or a related discipline

Key Responsibilities

• Provide support and manage deployment activities for customers’ cloud environments
• Troubleshoot issues across cloud-scale and backbone networks
• Support and maintain software-defined networking (SDN) services, including:o Azure Front Door (AFD)o Distributed Denial of Service (DDoS) protectiono Domain Name System (DNS)o ExpressRoute
• Participate in standby/on-call duties to provide after-hours support Technical

Experience:

• Minimum 2 years of relevant experience in a large-scale data center environment (for Engineer role)
• Minimum 5 years of relevant experience in a large-scale data center environment (for Senior Engineer role)
• Excellent communication skills with the ability to collaborate effectively across teams and business functions
• Strong leadership qualities; candidates with team leadership experience may be considered for a Lead role

Skill Sets

• Programming Languages: Kusto, Java, Python, Perl
• Operating Systems: Linux
• Virtual Networking: SDN, VNET, DNS, ExpressRoute, Traffic Manager, Load Balancer
• Data Formats: JSON, XML
• Certifications (Preferred): CCNP, JNCIP
• Additional Skills: Network automation and security experience

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Key Responsibilities

• Lead and perform end-to-end Software Development Life Cycle (SDLC) activities, including design, development, implementation, testing, deployment, maintenance, and documentation.
• Design, develop, and deliver high-quality, scalable, and secure software applications to meet business and operational requirements.
• Architect and implement robust backend systems, APIs, and microservices using modern frameworks and best practices.
• Manage the installation, configuration, customization, and deployment of enterprise applications, software services, and cloud-based platforms.
• Develop and optimize database schemas, queries, and integrations across multiple database systems.
• Ensure application performance, scalability, reliability, and security through code reviews, testing, and monitoring.
• Troubleshoot, debug, and resolve complex technical issues in development, testing, and production environments.
• Collaborate with cross-functional teams to gather, analyze, and refine user requirements and translate them into technical solutions.
• Drive and support DevOps practices, including CI/CD pipeline implementation, build and release automation, and environment management.
• Work in air-gapped or high-security environments, ensuring compliance with security and operational standards.
• Participate actively in Agile methodologies (e.g., Scrum), including sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to technical leadership, best practices, and continuous improvement initiatives.

Requirements

• Minimum 6 years of relevant software development experience in enterprise or large-scale systems.
• Strong proficiency in programming languages: Java, JavaScript, SQL.
• Hands-on experience with backend frameworks such as Java Spring Boot and/or .NET / .NET Core.
• Solid experience with database technologies: MongoDB, MSSQL, Oracle (data modeling, performance tuning, query optimization).
• Experience in designing and developing RESTful APIs and microservices architectures.
• Practical knowledge of DevOps tools and collaboration platforms: GitHub, GitLab, Azure DevOps.
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with cloud platforms and deployment models.
• Experience working in Linux/Unix environments and scripting (e.g., Shell scripting).
• Knowledge of message queues and streaming platforms such as RabbitMQ or Apache Kafka is an advantage.
• Exposure to Big Data technologies (e.g., Hadoop) is a plus.
• Strong understanding of secure coding practices and application security principles.
• Experience working in Agile/Scrum environments.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to abegail@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Job Description

The Data & Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities:

•Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines Group.

•Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.

•Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.

•Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.

•Design, build and manage data marts to satisfy our growing data needs.

•Be part of a project team to manage and deliver project deliverables, resources and timelines.

•Any other ad-hoc duties.

•This is an individual contributor role.

•Note: You could be posted to any subsidiary in SIA Group.

Requirements

•BS degree in Data Science & Analytics, Computer Science or a related technical field.

•Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them.

•Ability in analyzing data to identify deliverables, gaps and inconsistencies.

•Good critical thinking and problem-solving abilities.

•Ability to work independently and manage multiple task assignments.

•More than 2 years of SQL and Python experience is required.

•Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.

•Experience in ETL pipeline design, implementation and maintenance.

•Experience working with visualization tools (specifically Tableau would be preferred).

Work where you make an impact. We are seeking a Software Engineer to join our team and be a key player in designing, developing, and maintaining scalable web applications and backend services using Java and JavaScript. You will work closely with cross-functional Agile teams in building RESTful APIs and microservices, and contribute to well-tested, high-quality software solutions.

Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Java, JavaScript, Spring Boot, and Node.js, c++
• Build and maintain RESTful APIs and microservices.
• Develop responsive user interfaces with React.js and TypeScript.
• Work with PostgreSQL, MongoDB, and Elasticsearch databases.
• Collaborate with cross-functional Agile teams including QA, DevOps, and Product.
• Support DevOps initiatives, including CI/CD pipelines and Docker containerization.
• Ensure code quality through testing, reviews, and best practices.
• Troubleshoot performance and scalability issues across the application stack.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related fields.
• 3 years above of professional software development experience.
• Fresh graduates will be considered for entry-level roles.
• Strong hands-on experience with Java and JavaScript, as well as in Spring Boot, Node.js, and React.js.
• Sound understanding of TypeScript and experience working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with Docker, Elasticsearch, and DevOps practices.
• Experience working in Agile/Scrum development environments.
• Understanding of system design, APIs, and microservices architecture.
• Exposure to cloud platforms (AWS, Azure, or GCP), CI/CD tools, or infrastructure-as-code is a plus.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to bianca@talentsis.com.sg for immediate processing.

(EA Reg No: 20C0312)

Job Responsibilities:

• Manage, operate, and troubleshoot Linux/Unix and Windows server environments.
  Perform OS hardening, patching, and configuration updates according to security standards.
• Monitor system performance, capacity, and availability.
• Support core banking and enterprise applications hosted on on-premises or virtualized platforms.
• Work with global IT teams to ensure compliance with security and audit requirements.
• Participate in DR/BCP planning, testing, and implementation.
• Maintain documentation for infrastructure configurations and operational procedures.
• Assist in infrastructure architecture review and ensure alignment with overall system design and standards.

Requirements:

• Degree/Diploma in Computer Science, Information Technology, or related field.
• 3~5+ years of experience in Linux/Unix/Windows server administration.
• Hands-on experience with VMware, Hyper-V, or other virtualization technologies.
• Knowledge of shell scripting or automation tools (Bash, PowerShell, Python).
• Basic understanding of IT infrastructure architecture (OS, Network, Database, Middleware interactions).
• Experience in banking/financial sector is an advantage.
• Strong analytical and problem-solving skills.
• Proficiency in Korean is preferred.
• Willingness to travel frequently within Southeast Asia (Indonesia, Vietnam, Cambodia).

We are looking for a Software Developer with strong experience in cloud infrastructure and modern web development to build, deploy, and maintain scalable applications. This role combines software engineering and infrastructure-as-code, enabling reliable and efficient delivery of cloud-native systems.

• Working Hours: Mon-Fri
• Working Location: Punggol
• Salary Package: UP to $10,000 (basic) + AWS
• Job Type: Contract

Key Responsibilities

• Design, develop, and maintain scalable applications and backend services using JavaScript/TypeScript
• Build and manage cloud infrastructure on Amazon Web Services
• Define and provision infrastructure using Terraform
• Develop and integrate RESTful APIs and microservices
• Implement and maintain CI/CD pipelines for automated build, test, and deployment
• Collaborate with cross-functional teams to deliver high-quality solutions
• Monitor, troubleshoot, and optimize system performance and reliability
• Ensure security best practices across application and infrastructure layers
• Participate in code reviews and enforce engineering standards

Requirements

• At least 2 years of experience in software development
• Strong proficiency in JavaScript or TypeScript
• Hands-on experience with Node.js or similar backend frameworks
• Solid experience working with Amazon Web Services (e.g., EC2, S3, Lambda, RDS)
• Practical experience with Terraform for infrastructure provisioning
• Experience with Git, CI/CD pipelines, and DevOps practices
• Familiarity with databases (SQL or NoSQL)
• Strong problem-solving and debugging skills

Nice to Have

• Experience with containerization (Docker, Kubernetes)
• Exposure to serverless architectures
• Familiarity with frontend frameworks (e.g., React)
• Understanding of microservices architecture
• Experience with monitoring and logging tools

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

About the Role

Our client is seeking a skilled Data Engineer to design and build scalable data infrastructure supporting critical public sector initiatives. This role involves working across large and complex datasets, including geospatial data, to enable data-driven decision-making and digital product development.

The ideal candidate combines strong technical expertise with the ability to understand business needs, ensuring data solutions are robust, scalable, and aligned with organisational goals.

Key Responsibilities

• Design, develop, and maintain data platforms and architectures, including data warehouses, data lakes, and operational data stores
• Build and optimise data pipelines (batch and real-time) to support large-scale data processing and analytics
• Perform data extraction, transformation, and cleansing (ETL/ELT) to ensure high-quality, reliable datasets
• Integrate and consolidate data from multiple sources, ensuring scalability, security, and compliance
• Develop and maintain backend APIs and data services to support applications and downstream use cases
• Collaborate with Product Managers, Data Architects, Analysts, and Engineers to deliver data-driven products
• Implement data governance, quality controls, and monitoring frameworks
• Operate in an Agile environment, contributing to CI/CD practices, code reviews, and continuous improvement
• Participate in onsite engagements where required

GIS / Spatial Data Focus

• Build and maintain scalable geospatial data pipelines for ingestion, transformation, storage, and validation across multiple sources
• Work with GIS platforms and tools such as ArcGIS Server and PostGIS
• Utilise Python spatial libraries (e.g. GeoPandas, Shapely) for geospatial data processing
• Implement data cataloguing, metadata management, lineage tracking, and security controls for geospatial datasets
• Design and optimise geospatial data models, schemas, and storage solutions for performance and scalability
• Ensure compliance with geospatial standards (e.g. ISO 19115/19139, OGC) and governance requirements
• Provide reliable data services and APIs to support analytics and front-end visualisations
• Support development or integration of map services and geospatial visualisation components

Requirements

• Proven experience in data engineering or data platform development, preferably in large-scale or complex environments
• Strong proficiency in data pipeline development, data modelling, and database technologies
• Experience working with distributed data processing frameworks and modern data stacks
• Solid understanding of data governance, quality, and security practices
• Ability to work across both technical and business stakeholders
• Comfortable balancing big-picture architecture with hands-on implementation
• Strong alignment with public sector mission and impact-driven work

Preferred:

• Experience with GIS / geospatial data systems and platforms
• Familiarity with ArcGIS Server, PostGIS, GeoPandas, Shapely
• Exposure to data lakes, cloud platforms, or modern data ecosystems
• Experience working on government or public sector projects

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Responsibility:

• Provide Level 1 support for network-related incidents and service requests.
• Perform basic troubleshooting of LAN/WAN, Wi-Fi, and network devices (routers, switches, firewalls)
• Configuring network devices, such as routers and switches, and ensuring they are up to date.
• Experience with firewall rules implementation and troubleshooting upon incidents.
• Responsible for provision, deployment, configuration, and administration of many different pieces of network and security-related hardware and software.
• Responsible for evaluating, testing, and troubleshooting technologies when new technologies are onboard.
• Monitor network performance and availability using standard tools.
• Monitoring network performance, identifying areas for improvement, and ensuring optimal network uptime.
• Involve in update/upgrade/migration of security tools used by the team
• Maintain clear and functional documentations on process guides, technical instructions, network details, etc.
• Support routine maintenance tasks such as patching, upgrades, and backups
• Any other ad hoc duties as assigned.

Requirements:

• Applicants with 1 - 2 years of relevant experience
• Relevant certification such as CCNA or CCNP (preferred)
• Willingness to work at healthcare environment.
• Strong knowledge of networking protocols (TCP/IP, DNS, DHCP), network devices (routers, switches, firewalls), and operating systems.
• Strong knowledge and understanding of IT infrastructure and security operations
• Ability to diagnose and resolve network issues effectively.
• Knowledge and understanding of Endpoint security, IDPS, WAF, APT, FW, Cloud Security
• Experience in enterprise level network

Interested applicants, please email at rita@recruitexpress.com.sg and look for

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No. 99C4599

We regret that only shortlisted candidates will be contacted.

- 1 year contract (convertible based on performance)

- Up to $6,500

- Mon-Fri: 9am-6pm

- Telok Ayer

Job Overview:

The Data Scientist (AI Engineer) serves as the critical technical bridge between high-level business strategy and scalable AI production. This role is dedicated to accelerating demand creation by translating complex client challenges into feasible, high-impact AI/ML prototypes and Proof of Concepts (PoCs).  

By balancing technical rigor with strategic communication, the incumbent assesses data maturity, designs agile solutions using both traditional and Generative AI, and ensures that all innovations are architecturally sound and ready for production handover. Ultimately, this role drives organizational growth by de-risking AI investments and demonstrating the tangible technical value of emerging technologies.  

Core Focus Areas  

• Technical Translation: Converting business "pain points" into rigorous technical requirements and feasible AI architectures.  

• Rapid Innovation: Designing and iterating on interactive prototypes that showcase the "art of the possible" while adhering to vetted Technology Readiness Level (TRL) standards.  

• Strategic Advisory: Evaluating client data infrastructure and providing technical roadmaps to bridge the gap between current capabilities and AI readiness.  

• Seamless Integration: Partnering with Production and Enablement leads to ensure prototypes are scalable, documented, and transitioned without technical debt.  

• Technology Scouting: Researching and applying cutting-edge tools from the internal Tech Radar to solve real-world client problems. 

Responsibilities:  

Technical Requirements Elicitation & Analysis:  

• Collaborate with AI/ML Business Analysts and clients to deeply understand their existing technical landscape, data infrastructure, and specific operational challenges.  

• Translate high-level business needs into technical requirements for AI/ML solutions, identifying necessary data inputs, system integrations, and potential technical constraints.  

• Assess the technical feasibility of proposed AI/ML use cases, ensuring alignment with the organization’s vetted tech stack and TRL standards, given the client's current data capabilities and technology stack. AI/ML Solution 

Conceptualization & Prototyping:   

• Design and develop rapid, interactive prototypes or proof-of-concepts (PoCs) using appropriate AI/ML techniques (both traditional ML and cutting-edge AI like Generative AI).  
• Demonstrate the functionality and potential business impact of AI/ML solutions through compelling technical demonstrations and visualizations. 

• Iterate rapidly on prototypes based on client feedback, showcasing agility and responsiveness. 

Technical Communication & Value Articulation:  

• Simplify complex AI/ML concepts, algorithms, and technical architectures into understandable terms for non-technical business stakeholders.  
• Clearly articulate the technical value proposition of proposed solutions, explaining how the AI/ML will work and why it is the right approach for the client's problem.  

• Present technical findings, prototype results, and architectural considerations to clients and internal teams.  

Organizational Data Capability Assessment (Technical):  

• Conduct technical assessments of client data maturity, including data quality, accessibility, governance, and existing infrastructure.  

• Advise clients on technical prerequisites and potential roadmaps for enhancing their data capabilities to support AI/ML initiatives.  

Emerging Technology Research & Application:  

• Actively research and evaluate new AI/ML technologies, tools, and frameworks (e.g., specific algorithms, cloud AI services, MLOps tools) relevant to demand creation and prototyping.  

• Support the AI Solution Enablement Lead by exploring specific application-layer use cases for technologies already on the internal Tech Radar. Provide field feedback on the performance of vetted tools in client prototypes  

• Identify how emerging technical capabilities can be applied to solve client problems and create new service offerings.  

• Contribute technical insights to market exploration and strategic planning. 

Cross-Functional Collaboration & Handover:  

• Work in close partnership with the Data Science / AI Production Team from the earliest stages to ensure that prototyped solutions are designed with production scalability and maintainability in mind.  

• Collaborate primarily with the AI Solution Enablement Lead to transition validated TRL 3 prototypes into the hardening phase. Ensure all initial technical elicitation is documented according to Enablement Quality Gate standards to prevent technical debt during handover  

• Facilitate smooth technical handovers of validated concepts, prototypes, and initial architectural considerations to the production team, minimizing rework and ensuring continuity.  

• Provide technical context and support during the transition phase to ensure the production team has a comprehensive understanding of the solution's intent and design.  

Problem Solving & Innovation:  

• Apply strong analytical and problem-solving skills to technical challenges encountered during the demand creation and prototyping phases.  

• Propose innovative technical approaches to address client needs and differentiate our solutions. 

Period:

•  1 year contract (convertible based on performance)

Working Hours:

• Mon-Fri, 9am-6pm 

Salary: 

• Up to $6,500 

Location: 

• Telok Ayer

Requirements:

• Minimum Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.  

• At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.  

• Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production.  

• Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).  

• Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications.  

• Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions).  

• Proficiency with Docker for containerization and a foundational understanding of container orchestration (e.g., Kubernetes concepts for GKE).  

• Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, Vertex AI ML Metadata/Model Registry), and model versioning.  

• High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud Data Catalog), and data architecture principles.  

• Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads.  

• A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator.  

• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.  

• Excellent presentation, documentation, and stakeholder management skills. 

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
zikry@successhrc.com.sg  (Registration no: R2198989)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 06891

T: 6337 3183 | W: www.successhrc.com.sg 

Join MODEC’s Engineering Digital Transformation (EDX) team to modernise how engineering gets done. You will identify, design and implement workflow automation by customizing engineering software and complementary tools, building new features, and creating seamless interfaces with our Engineering DX Web Apps. You will perform detailed fit gap analysis of software capabilities against MODEC workflows, then translate engineering rules and constraints into robust, testable logic via scripting and integrations. Your work will drive speed, accuracy and compliance with industry standards and MODEC design standards delivering measurable impact across our engineering deliverables.

Job Responsibilities

• Analyze engineering software functions and modules in detail to assess alignment with MODEC’s engineering workflows, documenting fit gap and proposing solutions or customisations
• Customize engineering software to fit MODEC’s workflows, implementing new features and extensions via the software’s scripting language, application programming interface (API), and configuration capabilities
• Develop and maintain automated interface connections between engineering software, Engineering DX Web Apps, and other generic tools, using programming code and relevant APIs to ensure robust data exchange, synchronization, and event-driven workflows
• Create and maintain data flowcharts for automation and optimization, clarifying inputs, transformations, and outputs for each workflow
• Ensure automation solutions and generated deliverables align with industry standards, classification society rules, and the company’s design policies and principles
• Define clear, testable, and technically feasible software requirements, including engineering calculations, data validation logic, and deliverable generation rules
• Support continuous assurance of automated engineering processes and outputs; collect and analyze feedback from deployments and incorporate improvements into engineering software customizations and interfaces
• Collaborate with internal departments and engineering SMEs to capture domain rules, constraints, and best practices; translate them into actionable logic/configurations within engineering software and integration layers
• Lead or participate in planning, stand-ups, demos, and retrospectives. Report measurable impacts of engineering software customizations and integrations (e.g., processing time reduction, error rate trends, rework avoidance, deliverable throughput)

Qualifications

• Bachelor’s or Master’s in Engineering
• Must have 5+ years in engineering software scripting/dev (e.g., Python, .NET/VBA, JavaScript, vendor APIs)
• Must have hands-on customisation/config of engineering platforms (e.g., AVEVA) using native scripting
• Proven experience building APIs/services linking engineering tools with web apps
• Oil & Gas EPC workflow/deliverables experience is a plus

Competencies

• Engineering platform expertise (AVEVA or equivalent); advanced MS Office
• Strong problem-solving, teamwork and decision-making

As a Cross Technology Managed Services Engineer (L3) at NTT DATA, your primary role will be to provide exceptional service to our clients by proactively identifying and resolving technical incidents. You will ensure that client infrastructure is configured, tested, and operational, leveraging your deep technical expertise to solve complex problems and enhance our service quality.

Part of your Responsibilities will entail pre-emptive service incident resolution, product reviews, and operational improvements. You will manage high-complexity tickets, perform advanced tasks, and provide diverse solutions while ensuring zero missed service level agreement (SLA) conditions. Your role will also involve mentoring junior team members and working across various technology domains such as Cloud, Security, Networking, and Applications.

You will conduct necessary checks, apply monitoring tools, and respond to alerts, identifying issues before they become problems. Logging incidents with the required level of detail, you will analyse, assign, and escalate support calls. Additionally, you will proactively identify opportunities for optimization and automation, ensuring continuous feedback to clients and affected parties.

Important responsibility is to create knowledge articles for frequent tasks/issues and train junior team members in executing those tasks. Provide inputs to automation teams to reduce manual efforts.

You will engage with third-party vendors when necessary and keep systems and portals updated as prescribed. As a senior engineer, you will coach L2 teams on advanced troubleshooting techniques and support the implementation and delivery of projects, disaster recovery functions, and more, ensuring all actions adhere to client requirements and timelines.

To thrive in this role, you need to have:

• Extensive Managed Services experience handling complex cross-technology infrastructure.

• Strong understanding of ITIL processes.

• Proven experience working with vendors and/or third parties.

• Ability to communicate and work across different cultures and social groups.

• Effective planning skills, even in changing circumstances.

• Positive outlook and ability to work well under pressure.

• Active listening skills and adaptability to changing client needs.

• Client-focused approach to create positive client experiences throughout their journey.

• Bachelor's degree or equivalent qualification in IT/Computing

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the Team

ByteDance Networking brings together innovative ideas and technologies from network architecture, software-defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as TikTok which serve billions of users around the globe. ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable network experience in multiple areas on a massive scale.

Responsibilities

- Design, build, operate and optimize ByteDance's global network, including backbone, data center, public cloud and Edge/CDN.

- Work with cross-functional teams including but not limited to compute, storage, database, recommendation system, drive the innovation and evolution of ByteDance network.

- Work with external vendors and ISPs for device and carrier selection, perform testing and verification.

- Travel may be required up to 15% - 30% of the time.

Qualifications

Minimum Qualifications:

- Bachelor's in Computer Science, Information Science, Engineering, Mathematics, or a related field, or experience equivalent to a Bachelor's degree based on three or more years of work experience

- Good understanding of network protocols including TCP/IP, DHCP, BGP, OSPF/IS-IS and MPLS related technologies. - Good understanding of network monitoring protocols and tools, such as SNMP, Sflow/netflow, Telemetry.

- Familiar with data center network architecture, such as CLOS. - Hands-on experience of major network devices, such as Cisco, Arista, Juniper, H3C, Huawei and other mainstream vendors.

- Self-motivated, good communication and written skills.

- Team player and participate ByteDance network global on call rotation.

- English Language is required to communicate with overseas colleagues on a daily workflow

Preferred Qualifications:

- In-depth knowledge of network protocols and implementation in hyper scale data center networks.

- In-depth knowledge of MPLS related Traffic Engineering technologies, such as Segment Routing, RSVP, and LDP etc. - In-depth knowledge of public cloud architecture, such as AWS, GCP, Azure, Ali Cloud, OCI, etc.

- Familiar with mainstream commercial switch/router chipsets, such as Broadcom, Barefoot etc.

- Good understanding of IPv6 and IPv4-IPv6 co-existence technologies.

- Programming/scripting in Python or other languages.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Network security Engineer (L2/L3)

RoleSummary:

Shouldfocus on day-2-day operations, incident, change management, and user centrictroubleshooting.

Operate andcontinuously improve the organization’s Secure Access Service Edge (SASE)services using Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA),ensuring secure, reliable user connectivity and strong policy governance.

Keyresponsibilities (Operational / BAU)

• Runday-to-day operations for ZIA (web gateway, SSL inspection, URL filtering,cloud app control, sandbox, DLP , DNS security).

• Runday-to-day operations for ZPA (App Segments, Access Policies, Connectormanagement, posture requirements, policy troubleshooting).

• Monitorservice health and user experience; proactively identify trends and recurringissues.

• HandleL2/L3 incident troubleshooting: authentication issues (SSO/SAML),PAC/forwarding issues, tunnel/connector issues, policy blocks, certificate/SSLinspection issues.

• Performpolicy administration: create/update rules, exceptions, and change deploymentsfollowing CAB/ITSM change controls.

• Maintainforwarding architecture: Zscaler Client Connector, GRE/IPsec tunnels, PACfiles, forwarding profiles, location configuration, traffic steering.

• Manageintegrations: IdP (Azure AD/Entra ID, Okta, ADFS), SIEM (Splunk/QRadar),ticketing (ServiceNow), endpoint tools (Intune/Jamf), MFA.

• Executeroutine operational tasks: connector upgrades, certificate updates, locationupdates, application onboarding to ZPA, user/group updates.

• Work withvendors/TAC; drive cases to closure and implement corrective actions.

• Maintaindocumentation: runbooks, SOPs, troubleshooting guides, policy standards,onboarding checklists.

• Supportaudits and compliance: policy reviews, recertification evidence,logging/retention checks. Menlo Web Isolation Maintain allow-list/whitelist forapproved URLs/domains based on business justification and securityrequirements.

• Manageexception lifecycle: approvals, expiry dates, periodic review/cleanup, andrecertification evidence.

• Ensureisolation policies align with ZIA policies and do not create conflicting userexperience (e.g., bypass vs isolate logic) Site not loading in isolation,rendering issues, broken web apps, file download/upload restrictions,clipboard/printing controls (as applicable)

Coreskills:

• Strongworking knowledge of ZIA (SSL inspection, URL filtering, CASB/app control,sandbox, forwarding methods).

• Strongworking knowledge of ZPA (connectors, app segments, access policies, posture,authentication flows).

• Troubleshootingacross endpoint + network + identity (DNS, TLS cert chains, proxy behavior,SAML/SSO, routing).

•ITSM/change management discipline (ServiceNow/JIRA), documentation habits.Strong knowledge about Zero Trust concepts

•Nice-to-have: SIEM integration, DLP, basic scripting (PowerShell/Python) forops automation.

Responsibilities

• Design and implement Windows Server 2019/2016 configurations including Windows Domain Administration and Microsoft Failover Clustering to ensure high availability and performance
• Develop and maintain Windows RDS Architecture to support remote desktop services effectively
• Apply Group Policy Objects (GPO) and perform OS hardening to enhance system security and compliance
• Execute OS patching and upgrading to maintain system stability and security
• Configure, upgrade, harden, and administer Microsoft SQL Server 2019/2016/2017 to optimize database performance and security
• Deploy and maintain Linux-based Virtual Appliances and Ubuntu OS to support diverse operating environments
• Configure and manage Commvault backup jobs to ensure reliable data protection and recovery
• Design and implement network and network security solutions to safeguard ICT infrastructure
• Apply system security concepts including SSL certificate management to protect data integrity and privacy
• Perform preventive maintenance tasks to minimize system downtime and extend hardware lifespan
• Respond promptly to system faults on-site 24/7 and communicate effectively with users to resolve issues
• Conduct hands-on management of virtual machines (VMs) in the datacenter to ensure operational continuity
• Analyze system requirements and propose architecture and solutions that align with business needs
• Develop and maintain comprehensive system documentation to support operational transparency and knowledge sharing

Preferred competencies and qualifications

• Minimum 1–3 years of hands-on experience in system engineering roles
• Proficiency in the following skills: Windows Server configuration, Windows Domain Administration, Microsoft Failover Clustering, Windows RDS Architecture, GPO, OS hardening, OS patching/upgrading, Microsoft SQL Server configuration and administration

Other Information

• Work schedule: 5-day week
• Work location: AMK

Maestro HR
damien lee tian hong
R1106726
16C8462

We are looking for a skilled Network Engineer to administer and support our network infrastructure,ensuring optimal performance, reliability, and security across all sites and data centers.

Key Responsibilities

Network Infrastructure Administration

• Administer and support routers, switches, wireless access points, WLAN controllers, AAA servers, and encryptors.
• Respond to and diagnose network access and performance tickets:
• Service and close support tickets for wired and wireless client endpoints.
• Troubleshoot 802.1X authentication/authorization issues and escalate L2/L3 issues as necessary.
• Monitor network availability and respond immediately to system alerts.
• Perform root cause analysis of incidents and replace failed network components.
• Execute routine automation tasks to maintain secure configurations, backup management, and firmware upgrades.
• Manage operational activities and implement network changes.
• Track equipment lifecycle, procure replacements, and ensure timely project closure and payment.
• Manage network support agreements and telco circuit contracts, including renewals and payments.
• Support project teams in delivering IT services.

Network Communications Rooms & Data Centre Management

• Standardize and provision cabling for network access and data centers.
• Respond to alerts and resolve UPS and PDU faults.
• Work with contractors to replace faulty UPS and PDU units.
• Coordinate with Facilities Management for M&E issues (air-conditioning, electrical, fire safety) in network comms rooms.
• Escort external vendors/contractors for network-related activities.

Inventory &Documentation

• Maintain clear and concise documentation of network infrastructure, rack layouts, and cabling interconnects.
• Keep inventory up-to-date and perform periodic audits.
• Retire obsolete equipment following organizational procedures.

Qualifications & Skills

• Formal technical certification such as Cisco CCNA is preferred.
• Experience in network automation and scripting using tools like Ansible, Python,Terraform, GitLab is a plus.
• Strongcustomer service orientation with excellent communication skills.
• Self-motivated, detail-oriented, and able to work both independently and collaboratively.

Job Summary

We are seeking an experienced AWS CloudNetwork Engineer with strong expertise in Infrastructure as Code (Terraform)and CI/CD automation. The ideal candidate will be responsible for designing,implementing, automating, and optimizing AWS cloud network infrastructure usingTerraform-driven deployments. This role requires deep hands-on experience in AWSnetworking, strong troubleshooting skills, and the ability to enhance andmaintain scalable cloud network environments.

Responsibilities

· Design, implement, and manageAWS cloud network infrastructure using Terraform.

· Create and modify VirtualPrivate Clouds (VPCs), subnets, route tables, gateways, and related networkingcomponents.

· Develop and implement subnetstrategies (public, private, and isolated subnets).

· Configure and maintain LoadBalancers (ALB/NLB), including listeners and target groups.

· Manage and optimize SecurityGroups and Network Access Control Lists (NACLs).

· Implement approved networkdesigns using Terraform modules and CI/CD pipelines.

· Develop new Terraform modulesand enhance existing ones to improve scalability and reusability.

· Refactor, clean up, andoptimize existing Terraform code to eliminate technical debt.

· Enhance automation capabilitiesfor infrastructure provisioning and configuration.

· Support cloud migrationactivities and ensure smooth transition to new environments.

· Troubleshoot complex AWSnetworking issues and provide root cause analysis.

· Ensure adherence to securitybest practices and organizational standards.

Requirements

· Minimum 5 years of experiencein AWS Cloud infrastructure with strong focus on networking.

· Extensive hands-on experiencewith: VPC design and configuration, Subnetting strategies, Route tables andgateways (IGW, NAT), Load Balancers (ALB/NLB), Security Groups and NACLs

· Strong expertise in Terraform: Writingreusable modules, Managing remote state, Code refactoring and optimization

· Experience with CI/CD pipelinesfor infrastructure deployment.

· Strong troubleshooting andanalytical skills.

· Experience supporting cloudmigration initiatives.

· Solid understanding ofnetworking fundamentals (CIDR, DNS, routing, firewalls).

· Experience in enterprise-scaleAWS environments.

· Familiarity with DevOpspractices and Git-based workflows.

· Experience implementing security best practices in cloud environments.