Total 2,434 system engineer job vacancies in Information Technology category in Australia

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.

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

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

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

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.

Job Title: Data Engineer
Duration: 24 months
Location: 1 Marina Boulevard
Salary: 5000-6000
Eligibility: Only Singaporeans

As a Data Engineer, you will be a key member of the Data Management and Operations team, ensuring a robust data infrastructure, upholding data quality and data governance rules and efficient functioning of data pipelines. You will work closely with stakeholders across the division and vendors to ingest data and translate data needs into the relevant tables. The Data Engineer will also work closely with AI Engineers and Machine Learning Engineers to deploy data science models into production.

What you will be working on

You will be involved in a range of tasks including the following:

• Infrastructure Architecture & Cloud Management: Design and manage robust, scalable data infrastructure utilising AWS and other cloud platforms based on project requirements. Proactively explore and evaluate innovative data engineering tools to enhance infrastructure capabilities. Continuously recommend and implement improvements to data infrastructure based on emerging technologies.
• Data Pipeline Development & Implementation: Design and implement efficient data models and pipelines for ingestion, processing, and distribution of largescale datasets. Ensure high data quality and availability across all data processing workflows. Align data flows across various systems with consistent schema and governed access models. Collaborate with external vendors to enable secure data exchange through APIs, including the development of API Swagger specifications required for vendors to build and integrate their API endpoints.
• Data Quality & Standards Management: Lead comprehensive data quality initiatives establishing standards for accuracy and reliability across all systems. Diagnose and resolve data pipeline issues while contributing to incident response and post-mortem reviews. Maintain rigorous quality control processes throughout the data lifecycle.
• AI & Machine Learning Collaboration: Collaborate closely with AI engineers to provide optimised data solutions for machine learning projects. Emphasise seamless data flow and accessibility for AI model development and deployment. Ensure data infrastructure supports advanced analytics and machine learning requirements.
• Documentation & Knowledge Management: Develop and maintain comprehensive documentation on data architecture, procedures, and management practices. Ensure clarity and consistency of documentation across all teams and projects. Create accessible resources that support effective data management practices.
• Automation & Integration Solutions: Leverage innovative tools and architectures to automate common, repeatable, and error-prone data preparation tasks. Minimise manual processes whilst improving overall productivity and efficiency.

Implement automated data integration solutions that reduce operational overhead.

• Governance & Stakeholder Collaboration: Work closely with data governance teams to vet and promote high-quality content for governed reuse. Engage proactively with cross-functional teams and business stakeholders to refine requirements and co-design solutions. Support creation and maintenance of curated data catalogues for organisational use.
• Training & Continuous Improvement: Facilitate knowledge sharing and technical training sessions on data management best practices and tools. Enhance data competency across staff through structured learning programmes. Establish regular feedback loops with data consumers to refine and optimise pipelines for seamless production deployment

Requirements

• Proficiency in data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools) and building scalable data pipelines.
• Proficiency in Python and SQL; experience in AI/ML model development and deployment a plus.
• Experience in working with large and multiple datasets and data warehouses.
• Independent contributor with ability to collaborate and work effectively within the team.
• Strong analytical, conceptualization and problem-solving skills.
• Excellent written and verbal communication skills

Apply Now via MyCareersFuture
Only qualified candidates are contacted

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In Ref: SS – JO-28275-B
BGC Group Pte Ltd (Outsourcing)
EA 05C3053

REQUIREMENT:

• 7–12 years in payment systems analysis with experience in Corporate Internet Banking, Entitlement and pre-payment workflow or similar. 
• Strong engineering/technical skills:
  o API design (REST/JSON, OpenAPI/Swagger) 
  o Microservices architecture 
  o State machine and sequence diagram modelling 
  o HA/DR and low-latency systems 
• Experience integrating with AML, fraud, entitlements and ledger systems. 
• Ability to reuse and extend existing platform components and code frameworks

RESPONSIBILITIES:

Technical Delivery & Systems Analysis 

• Own Banking channel (infinity program and projects) requirements → solution design → integration → testing → rollout. 
• Produce engineering-ready specifications: 
• o API specs (REST/JSON), OpenAPI/Swagger definitions 
• o Microservices interface contracts, event schemas, callback payloads 
• o Sequence diagrams, state machines, mapping specs, error models 
• Define end-to-end orchestration flows for: 
• o Pre-Payment initiation, acceptance, expiry, rejection 
• o Entitlement and Auth Matrix lifecycle events
• o Template, Past Payment, Bene Master 
• Specify robust pre-processing logic: Customer/account validation, Entitlement and authorisation checks, Funds availability, Limits, thresholds, duplicate suppression, Idempotency, retry and timeout handling

API & Microservices Architecture

• Define API and microservices designs using existing components from previous builds: Payment initiation microservices, Validation & entitlement services, Fraud/AML adapters, Core banking and ledger integration patterns 
• Reuse existing: API standards (naming conventions, response structures, error formats), Security models (OAuth2/JWT, mTLS, signature validation), Eventing patterns (Kafka topics, event schemas, DLQ handling), Common libraries for logging, telemetry, utility functions 
• Ensure microservices follow engineering principles: Loose coupling, clear domain boundaries. Async event-driven integration where applicable, High availability and horizontal scalability, Observability (structured logs, metrics, tracing) 

User Journeys, Entitlements & Authorisation 

• Define user journeys for: Pre-Payment Workflow like payment initiation, Beneficiary Master, Bulk Processing 
• Align journeys with entitlements and auth rules: Per-transaction and daily limits o Maker-checker workflows for corporates, Channel-specific access rights
•  Coordinate with channel teams to maintain parity across Mobile, Internet Banking, H2H and API Banking. 

Integration & Platform Engineering

• Design integration between: Payment Hub / RFP Orchestrator, Payment gateway, Core banking, ledger, AML, fraud 
• · Use existing microservices blueprints for: Error propagation and code mapping, Schema validation and transformation, Event lifecycle management, Callback patterns and async updates 

Testing, Deployment & Operational Readiness

• Lead SIT/UAT/E2E test scenario design for: Corporate Internet Banking Channels, Entitlements, Auth matrix, Pre-payment flow like payment initiation, validation and submission, Timeouts, retries, negative tests 
• Work with Engineering & Ops to ensure: Monitoring dashboards and alerts, Reconciliation and exception queues, Runbooks for replay, retry and operational fixes 
• Support scheme certification and phased deployment. 

• Position : System and Application Implementation Engineer (Building Automation)
• Location : International Business Park (Nearest MRT: Jurong East walking distance)
• Working hours : 5 days a week- HYBRID / Monday - Friday, 8.30 am - 5.30 pm - WITH WORK FROM HOME BENEFITS
• Salary (commensurate with experience) : Up to $5700 + AWS + Medical/ Dental Allowance
• Duration : Permanent
• Industry : Develop and Manufacture an extensive range of building automation products

Responsibilities

• Support the System Development Manager and Application Development Manager to research, design, implement and manage software application programs for Digital Intelligent Building Management Systems in the Southeast Asia and India region.
• Design and develop applications to realize enhanced building and occupant safety, enhanced occupant experience with reduced costs and increased efficiency.
• Plan, test and evaluate new software applications.
• Create engineering manuals and documents to deploy software applications in the region.
• Train and support engineers in the region on software applications. Work together with engineers in the region to execute project engineering and system configuration on-site.
• Collect feedback from the internal and external stakeholders to make continuous improvement.

Requirements

• A bachelor's degree in engineering, Computer Science is preferred.

• At least 3 years of programming experience is preferred.

• Programming knowledge of Python and JavaScript.

• Strong interest in AI/ML, web API programming, energy conservation, and the environment.

• Experience in building automation systems is preferred.
  

 Send your resume via Email to Jane@searchpersonnel.com.sg

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***We do not charge our candidates any referral fee nor bind them with any contract.***

Jane Chua

Deputy Consulting Director (APAC)

License no: 13C6684

EA Personnel: R2197224

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Summary

You will develop, maintain, and troubleshoot PLC/SCADA and network control systems to ensure operational efficiency. Collaborate with project teams and provide detailed system analysis and reports to support engineering projects.

Responsibilities

• Program and troubleshoot PLC/SCADA systems to ensure reliable control operations.
• Manage, maintain, and resolve issues in Windows Server Operating Systems to support system stability.
• Apply programming skills in ladder logic, VBA, or other languages to enhance system functionality.
• Configure network switches, perform network diagnostics, and manage IP address settings for network devices.
• Conduct routine and preventive maintenance on control and network systems to minimize downtime.
• Collaborate effectively with Project Managers and Engineers to support project execution and delivery
• Collect, analyze, and summarize control system data to prepare accurate reports for stakeholders.

Preferred competencies and qualifications

• Diploma or Degree in Computer Science, Electrical & Electronics, Mechatronic Engineering, or related fields.
• Experience in PLC/SCADA applications, network setup, instrumentation, and hardware troubleshooting.
• Ability to interpret electrical drawings for system maintenance and troubleshooting.
• Proficiency in Microsoft Office applications for documentation and reporting.
• Basic knowledge of Windows Server administration.
• Willingness and ability to support night shift operations.
• Strong interpersonal skills, positive attitude, and ability to work independently and collaboratively.

Responsibilities:

• The responsibilities of the Support Engineer are as follows: Contribute to the handling and resolution of incidents.
• Contribute to the support of the RUN N2/N3 team and to the resolution of incidents/problems related to production.
• Contribute to the analysis of incidents by the IT RUN team, and recommend the actions to be implemented depending on the incident reported.
• Contribute to the implementation of developments to resolve the incident.
• Contributing to the unit tests and writing the documentation relating to the changes made before going into production. Contribute to the respect of commitments/SLA's
• Contribute to the respect of commitments in terms of deadlines and quality of provided work.
• Assist the RUN teams in production
• •Contribute to the validation of deliverables / procedures for the RUN/PROJECT team during deployment.
• Assist the RUN team with requests for training/technical consultation.
• Provide training for the RUN teams
• Contribute to network improvements and carry out the regression tests.
• Ensure on-call duty according to the schedule and respond to intervention needs outside working hours.
• Help to draw up on-call schedules
• Respond and deal with incidents outside working hours.

Key Requirements:

• Bachelor’s Degree in computer Science or equivalent studies/ experiences

• Minimum of 3 years of professional experience in Payment domain

• Good skills in development and coding (PL/SQL, C,C++,Java, HTML, Phyton, Oracle Data Base….)

• Hands-on experience in incident management

• Proven results-oriented person with focus on delivery

• Excellent communication and inter-personal skills to manage functional and technical stakeholders across multiple business units

• Ability to work under high pressure and provide clarity in confusion situations

• Location Singapore

Regret to inform you that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience

• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store
• Develop product features that empower our customers to easily store and access their data.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ years of production level experience in one of: Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Knowledge of SQL preferred

• Experience with software design and development
• Able to analyze user requirements to inform application design
• Minimum 3 years of hands-on software development experience in Python.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.
• Experience in TypeScript, React, C#, MSSQL.
  
  U3 Privacy Notice: Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.