Total 2,585 construction engineer job vacancies in Information Technology category in The Philippines

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.

Overview:

We are seeking a skilled Microsoft Dynamics 365 Software Engineer to design, develop, and maintain customised solutions within the Dynamics 365 CRM ecosystem. The successful candidate will work closely with business and Infocomm Technology stakeholders to translate requirements into technical solutions whilst ensuring system performance, security, and scalability.

Responsibilities

• Drive and contribute to the implementation of Microsoft Dynamics 365 solution for CRM module, including gathering requirements, designing and development, module configurations or extensions to the standard Microsoft Dynamics applications and ensure all functionalities work effectively with all other integrated/interfaced applications.
• Responsible for development, deployment, testing and technical documentation for operations and support of the MD365, and related application integrations.

• Customization and Configuration:
• Utilize your expertise in SQL and .NET to customize MD365 forms, entities, fields, forms, view, workflows, and queries to meet business requirements.
• Implement plugins, custom workflows, and integration solutions to extend MD365 functionalities.
• Customize workflows to align with business processes.

• Integration:
• Develop integration solutions to connect MD365 with other business applications, leveraging SQL databases and .NET frameworks using APIs, web services, and middleware solutions to ensure seamless data flow across platforms.

• Technical Support and Maintenance:
• Provide technical support to post-implementation, troubleshoot issues, and perform system upgrades and patches.
• Ensure the stability, performance, and security of MD365 systems.

• Documentation:

• Create comprehensive documentation including system architecture, configurations, and customizations for reference.

• System Performance Improvements:

• Conduct product evaluations of upgrades to the MD365 system.

• DevOps practices including CI/CD pipeline implementation, automated testing, and deployment using modern development tools
• Manage performance tuning and capacity planning activities to enhance the performance of the MD365 platform.
• Analyze user support statistics and related data to recommend appropriate measures.

Requirements

• Possess a Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3-5 years of technical working experience in cloud or web applications development
• Strong proficiency in MS SQL for data manipulation, querying, and reporting.
• Experience with .NET framework and development languages such as C# for customization and integration tasks.
• Strong DevOps background with hands-on experience in GitLab, Confluence, JIRA, X-Ray, security scanning tools, and automated testing frameworks
• Has completed at least 2 end-to-end full life cycle implementations of Microsoft Dynamics 365
• Possess Microsoft Dynamics 365 Certifications (MB-500, MB-820) and in-depth understanding of MD365 concepts, modules, and functionalities.
• Familiarity with SHIP-HATS and AWS cloud services is advantageous
• Ability to work with functional teams

My Client:

My client is a technology-driven company building high-performance hardware and system-level solutions for compute-intensive applications. The engineering team focuses on embedded systems, firmware development, and device-level software optimization.

The team operates in a hands-on, product-oriented environment, working closely with hardware, chip, and system teams to deliver reliable and efficient embedded solutions. They are currently expanding their embedded engineering team to support new-generation devices.

Job Responsibilities:

• Develop, port, and optimize firmware for Linux-based embedded systems.
• Design and implement device drivers and low-level software for peripheral modules.
• Perform system debugging, testing, and performance optimization for embedded platforms.
• Work closely with hardware and chip teams on bring-up, validation, and integration.
• Develop software control logic related to system performance and power management.
• Participate in system-level troubleshooting and continuous improvement of reliability and stability.

Job Requirements:

• Bachelor’s degree or above in Computer Engineering, Electronics, or related fields.
• Strong programming skills in C/C++ for embedded systems.
• Familiarity with Linux systems and embedded software development.
• Understanding of microprocessor architecture and hardware fundamentals.
• Ability to read datasheets and debug hardware/software integration issues.
• Strong problem-solving skills and proactive learning attitude.

What They Offer:

• Exposure to full-stack system development from chip to software.
• Engineering-driven environment with strong technical depth.
• Competitive compensation and long-term career development.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

Overall Purpose of Job:

Explore and evaluate new and adjacent technologies and assist CTO in development of technology road map for Marine.

Responsibilities:

1. Scan the technology landscape for future disruptors and new product/solutions for management evaluation. Special attention to the adoption of AI on products and the exploration of alternative energies for marine platforms.
2. Facilitate internal efforts for R&D and seek collaboration with external parties including IHL to supplement internal R&D resources. Assist to prepare R&D budget and  all aspects of R&D efforts for corporate reporting.
3. Perform feasibility studies with potential customer/early adopters of new solution/technologies. Project manage POC projects.
4. Assist in application of R&D funding and grants from external agencies to support R&D efforts.  Assist in the project cycle from the initiation of ideas, search for the relevant agencies, the submission of the proposal to the claims.
5. Work closely with Group CTO working level to align the development of relevant technologies for growing the future business of Marine.  Collaborate with other Business Areas working level for new technology applications that can be shared across industries.

Requirements:

1. Bachelor Degree in Engineering  (Marine and Offshore, Naval Architecture, Structural) 
2. 5-10 years of industry experience in Marine or Offshore
3. Software skills preferred: Rhino, Solidworks, AutoCAD  

Other Information:
 

• Location: 16 Benoi Road (Island-wide transport provided)
• 5-day work week
• Working Hours: 7.25am-5pm

We are seeking a CCIE‑certified Senior Network Engineer to lead complex data center migrations and manage large‑scale enterprise network environments. The role will serve as a technical SME across routing, SD‑WAN, automation, and incident management.

Key Responsibilities

• Lead Tier 1–3 data center and B2B network migration projects
• Design and optimize enterprise network architectures, including Cisco SD‑WAN
• Configure and troubleshoot advanced BGP routing across LAN/WAN
• Implement multi‑DC redundancy and SD‑WAN policy optimization
• Drive network automation using Python scripting
• Act as escalation point for major incidents and lead RCA efforts

Requirements

• CCIE Certification
• 8+ years of enterprise/data center networking experience
• Strong expertise in SD‑WAN, BGP, and network automation
• Proven leadership in high‑availability and migration projects

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework.

• Design, implement and maintain firmware logic and architecture. 

• Develop code for embedded software components.

• Build and maintain data pipelines for the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, and Computer Vision.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Diagnose and resolve software and firmware issues across the stack.

• Develop and maintain tools for build systems, testing, logging and remote diagnostics.

• Involve and drive Continuous Integration and deployment (CI/CD) infrastructure and environment setup.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with and computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves

• Experience with version control (Git) and collaborative development workflows

• Experience in configuring sensors over I2C, CSI and CAN.

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/ Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.