We are seeking a highly skilled and motivated Network L2 Engineer to join our ICT Infrastructure team. As a Network L2 Engineer, you will be responsible for the day-to-day operation and maintenance of our network infrastructure, which includes Palo Alto and Check Point firewalls, Cisco switches, Alcatel, Aruba ClearPass Policy Manager (CPPM), and other related devices. You will play a critical role in ensuring the availability, performance, and security of our network services.

Key Responsibilities:

1. Network Maintenance and Support

• Perform routine maintenance tasks on LAN and WLAN network devices, including firmware updates, patches, and configurations.
• Troubleshoot and resolve network issues, ensuring minimal downtime.
• Monitor network performance and proactively address bottlenecks or anomalies.

2. Firewall Management

• Configure, manage, and maintain Palo Alto and Check Point firewalls to ensure network security.
• Implement and maintain firewall policies to control traffic and protect against threats.

3. Switch Management

• Configure and manage Cisco switches, ensuring optimal performance and network segmentation.
• Troubleshoot and resolve LAN/WAN connectivity issues.

4. Access Control and Authentication

• Administer Aruba ClearPass Policy Manager (CPPM) for user authentication and access control.
• Ensure compliance with security policies and standards.

5. Documentation

• Maintain accurate and up-to-date network documentation, including diagrams, configurations, and asset inventory.

6. Collaboration

• Collaborate with other teams, including system administrators and security experts, to achieve common network goals.

7. Security Compliance

• Ensure that network configurations and policies comply with industry best practices and security standards.

Qualifications & Requirements:

• Experience: 3-8+ years of experience in network engineering or infrastructure operations.

• Technical Proficiency:

  • Firewalls: Proven hands-on experience with Palo Alto and Check Point platforms.

  • Switching: Strong working knowledge of Cisco routing and switching.

  • Access Control: Proficiency in managing Aruba ClearPass (CPPM) or similar NAC solutions.

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

• Preferred certifications include CCNP, PCNSA/PCNSE (Palo Alto), CCSA/CCSE (Check Point), or Aruba Certified Mobility Professional (ACMP).

• Strong analytical thinking, excellent documentation habits, and a collaborative mindset for working within a cross-functional IT team.

Key Accountabilities

• Manage, administer, configure, and provide technical support for network equipment (switches, wireless APs, firewalls, DNS appliances, UPS) and services, including VLANs, ACLs, firewall rules, DNS, and IP address management.
• Install, maintain, and upgrade network hardware firmware/software; apply patches, hotfixes, and manage vulnerability remediation.
• Take ownership of network problems, troubleshoot and resolve issues related to hardware, software, and firmware, performing on-site support as needed.
• Conduct daily system checks, monitor network services availability, and contribute to network health checks by analyzing alerts, statistics, and performance data.
• Manage and document all network device configurations, changes, and ensure weekly automated backups.
• Record network service outages and follow up on outstanding technical issues with vendors to ensure resolution within Service Level Agreement (SLA).
• Liaise effectively with ISPs, other service providers, and internal teams on operational matters.
• Assist and work with vendors with cabling management, including patching, documentation, 1st level troubleshooting of connections, and ensuring correct configuration/labeling of new outlets.
• Provide support for wireless configuration and surveys.
• Maintain comprehensive network documentation (diagrams, topologies, issues) and assist in proactive monitoring and monthly reporting for network resources.
• Conduct annual asset verification, track equipment movements (deployment, RMA, relocation, decommissioning), and update inventory records.
• Participate in network implementation and migration projects as required.
• Assist in supporting operational requirements such as power maintenance shutdowns, periodic system audits, and service validation.
• Adhere strictly to policies, rules, regulations, and IT security policies in all operational aspects.

Key Performance Indicators

Desired Experience, Knowledge & Attributes

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years’ experience as a Network Engineer supporting large campus network
• Strong analytical and problem-solving skills
• Self-motivated with a strong sense of ownership
• Possesses a valid CCNA certification
• Certification in PCNSA/PCNSP is a plus

Experience:

• Minimum 4–6 years of experience
• Strong experience in data cleaning and transformation using tools such as SQL, Python (Pandas), or R to ensure data accuracy and consistency.
• Hands-on experience in building and maintaining ETL/ELT pipelines using technologies like SSIS, AWS DMS, AWS Glue, Python, AWS Lambda, ECS, EventBridge, or Spring.
• Good knowledge of database design and experience working with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, Athena, and AWS S3.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience developing production-grade data pipelines and data integration solutions in big data environments.
• Understanding of system design, data structures, and algorithms.
• Familiar with data architecture concepts including Data Lakes, Data Warehouses, Data Marts, and Data Virtualization for efficient data storage and access.

Job Summary

Role: Data Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms.

This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems.

Requirements:

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

- Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments.

- Strong hands-on experience in Teradata SQL and EDW/ETL development.

- Proven experience with Informatica PowerCenter for enterprise ETL development.

- Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.)

- Strong expertise in performance tuning and optimization of large-scale data pipelines.

- Hands-on experience with shell scripting, BTEQ, and automation frameworks.

- Strong understanding of data pipeline orchestration and workflow automation.

- Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation.

- Experience building frameworks for data ingestion, transformation, and automation in enterprise environments.

- Strong understanding of data modeling, ETL design patterns, and data warehousing concepts.

- Experience working with enterprise systems such as SAP (Oracle) for data integration.

- Experience with Master Data Management (MDM) solutions including data validation and approval workflows.

- Strong analytical, problem-solving, and debugging skills.

- Experience working in Agile or enterprise-scale delivery environments.

Roles and Responsibilities:

- Design, develop, and maintain ETL/ELT processes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino.

- Build and optimize data pipelines to load and transform data into Teradata-based data warehouses and data marts.

- Develop and implement scalable data engineering frameworks to support end-to-end automation using GCFR, BTEQ, and shell scripting.

- Perform performance tuning and optimization of complex ETL jobs and data processing workflows to reduce resource consumption and improve efficiency.

- Build and maintain in-house CDC (Change Data Capture) frameworks using Java to process OLR logs from SAP (Oracle) systems and ingest data into Teradata.

- Design configurable and reusable CDC ingestion frameworks to support enterprise-wide data integration requirements.

- Develop and support Master Data Management (MDM) solutions for user data uploads, including data validation, enrichment, and approval workflows.

- Work with Hadoop ecosystem technologies including Hive, Impala, Spark, Kafka, Iceberg, NiFi, Ranger, Atlas, and Flink for data ingestion, processing, and governance.

- Implement data pipeline orchestration and scheduling mechanisms to ensure reliable and timely data delivery.

- Collaborate with business, analytics, and application teams to translate requirements into scalable data engineering solutions.

- Ensure data quality, consistency, and governance across enterprise data platforms.

- Support troubleshooting, root cause analysis, and production issue resolution for data pipelines and ETL processes.

- Continuously improve data engineering standards, frameworks, and automation capabilities.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Employment type - 1-year contract (Renewable)

Eligibility: Singaporean only

Role Overview

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC).

You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Job Responsibilities

1.     Data Engineering &Platform Design

·      Design and develop scalable and reliable data pipelines.

·      Build enterprise data platforms, including data warehouses, data lakes, and lake houses.

·      Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

2.     Data Integration &ETL/ELT

·      Lead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considered.

·      Integrate structured, semi-structured, and unstructured data sources.

·      Implement and maintain data quality, validation, and error-handling frameworks.

3.     Storage & Data Management

·      Design and manage data storage solutions with a strong emphasis on object storage, data quality, and data governance.

·      Implement and maintain data lifecycle management and cost-optimization strategies.

·      Ensure data lineage, traceability, and auditability.

4.     Analytics Enablement& BI Integration

·      Engineer analytics-ready data models for reporting and self-service analytics.

·      Enable BI Dashboards, Reports, and analytics through performant and governed data pipelines.

5.     Security, Governance& Compliance

·      Ensure compliance with government security and privacy requirements.

·      Implement and maintain encryption, access controls, and secure data handling practices.

·      Implement and maintain security policies and procedures for the system

Job Requirements

Education - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Core Technical Skills

• Strong hands-on data engineering experience
• Expertise in ETL/ELT with Talend (highly preferred)
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems
• Qlik Sense Enterprise integration experience (highly preferred)
• Strong SQL and Python skills

Experience & Security Requirements

• Minimum 3+ years of experience in enterprise data engineering roles
• Prior CAT 1 / G50 security clearance(mandatory)
• Previous experience delivering MINDEF projects (mandatory)

Employment type: 1-year contract (Renewable)
Location: Ang Mo Kio
Working Days/ Hours: Mon-Fri 8:30am to 6pm
Eligibility: Singaporean ONLY

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

• Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

• Support system implementation, configuration, and deployment of learning technologies.

• Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

• Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

• Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

• Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

• Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

• Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

• Conduct system testing, debugging, and performance optimization for both application and AI components.

• Monitor platform performance and identify opportunities for improvement.

Collaboration

• Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

• Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

• Maintain technical documentation for system architecture, integrations, and AI components.

• Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.

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)

Roles & Responsibilities:

• Design, implement, and configure OpenShift clusters and containerized applications
• Must have Automate infrastructure provisioning and configuration management processes using IaC tool Ansible and/or Terraform. This includes experience to include unit and integration testing.
• Building a CI/CD pipeline for automating the provisioning and management of infrastructure components with Ansible and/or Terraform. This includes experience in code commits, pull request via Bitbucket and integration to Jenkins and/or other CD tools.
• Collaborating with cross-functional teams, such as developers, operations, Network and security, to ensure the infrastructure aligns with application requirements and organizational policies.
• Develop and maintain technical documentation related to design, configuration, usage, troubleshooting, backup, recovery, etc., for all OCP environments
• Provide Technical assessment and advisory in relation to design, installation, configuration, including system upgrade and migration of OCP environment, including the operators for OCP
• Collaborate with development teams to onboard and optimize applications on the OpenShift platform
• Implement best practices for containerization, orchestration, and automation using OpenShift
• Troubleshoot Red Hat OCP configuration and services and container issues, working in collaboration with other relevant IT areas and vendor support towards a quick and effective resolution
• Work on container security solutions and ensure compliance with security policies
• Manage OpenShift clusters for performance, availability, and capacity planning
• Perform assessments and health checks of existing solutions and provide best practice recommendation and guidance to Support team.
• Automate deployment process.

Key Requirements:

• Minimum 6 years of practical experience in the implementation of OpenShift/Kubernetes environments
• Expertise with the RedHat OpenShift Container Platform/Kubernetes.
• Experience in dealing with container configuration management, especially Helm and app-of-apps concepts.
• Experience working with infrastructure as code technologies such as Ansible, Terraform.
• Knowledge of application development, ideally Java Spring Boot.
• Experience in CI/CD Pipeline.

QUESSCORP SINGAPORE PTE. LTD

Registration No. 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Description

• Industry/ Organization Type: Manufacturing & Production
• Position Title: Software Engineer
• Working Location: Redhill (Near to the MRT)
• Working Hours: 5 days a week (Flexi Hours)
• Salary Package: Basic Salary + Bonus
• Duration: Permanent

Key Responsibilities

• Develop application software throughout the full software development lifecycle, including analysis, design, coding, testing, and maintenance.
• Focus on C++ development and object-oriented design.
• Troubleshoot and resolve software issues, and support systems involving electronics or mechanical components.
• Follow best practices and use programming languages and APIs effectively to deliver reliable software solutions.

APPLY NOW!!!

• Degree in Electronics, Electrical, Computer Engineering, or Computer Science.
• Minimum 2 years of relevant experience.
• Strong C++ programming skills
• Solid understanding of Object-Oriented Programming (OOP) principles.
• Experience in Linux environments is a plus.
• Exposure to software development for electronics or embedded systems.
• Proven ability to deliver quality software or contribute to successful projects.
• Experience in AI-assisted development is a bonus.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #84739 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Skills:

L3 Application Support Engineer to ensure 24/7 reliability, performance, and security of critical banking applications.

You’ll own complex incident resolution, drive automation to reduce manual toil, and partner with Dev, Security, and Business teams to maintain high availability and compliance.

Core Day-to-Day Responsibilities:

1. System Reliability & Availability Management  Provide L3 application support with continuous monitoring of critical production banking apps to ensure maximum uptime  Rapidly triage, diagnose, and resolve P1/P2 incidents while meeting corporate financial SLAs  Perform daily health checks, system updates, patches, and proactive monitoring to detect anomalies before business impact  Support DR drills and lead high-severity incident response with swift troubleshooting to maintain system resilience

 2. DevOps Engineering & Automation  Manage and support application deployments, automated configurations, and batch jobs via CI/CD pipelines  Identify, prioritize, and remediate system vulnerabilities/security flaws per compliance standards  Track EOS/EOL software components and plan technical upgrades to ensure system integrity and regulatory compliance  Design and implement automation scripts in PowerShell, Bash, Python to eliminate repetitive tasks and streamline maintenance/reporting

 3. Cross-Functional Collaboration & Environment Control  Work closely with developers, vendors, security/compliance teams, and business units to investigate issues and deliver long-term fixes  Coordinate and execute change/release management across Dev, UAT, and Production to maintain environment uniformity  Author and maintain technical runbooks, incident post-mortems, and engineering documentation to empower L1/L2 support and onboarding  Key Skills

Key Skills:

Azure, RHEL, Windows Server, SQL Server, MongoDB, Redis, Elasticsearch, PostgreSQL, Jenkins/GitLab CI/CD, ELK, Grafana, PowerShell, Bash, KQL, Azure AD, Defender for Cloud, ITIL

Job Responsibilities:

• Support the technical team and construction team for all design matters.
• Review all technical documentation and drawings of the Project works.
• Work closely with consultant on the scope of services, design and project deliverables toenhance site efficiency and constructability.
• Manage design approval process and coordination with the clients, consultants andsubcontractors in a timely manner to resolve all technical issues.
• Ensure strict compliance of the design in accordance with contractual requirements.
• Identifies and highlight to management and project team of any potential risks or issues thatwill impact project performance.
• Support tender team and prepare technical tender documents as per specifications forbidding of civil and structural engineering projects as when assigned.

Requirements:

• PE Board Recognised Degree in Civil Engineering
• Min 1 year of design management experience with at least 2 years of design experience withD&B main contractor or consultancy firm
• Strong coordination and collaboration with other disciplines.
• Good interpersonal and communication skills.
• Good organization and time management skills.