Total 2,431 network engineer job vacancies in Information Technology category in Australia

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

Key Responsibilities:

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

Requirements:

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

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Job Responsibilities:

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

Requirements:

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

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

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

Key Responsibilities

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

Requirements

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

Nice to Have

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

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

This authorizes us to:

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

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

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Get to know our Team

At GrabFin, we empower the people of Southeast Asia, from consumers and drivers to every-day entrepreneurs, by ensuring financial inclusion for the underserved. The team is building solutions by enabling our partners (i.e. drivers and merchants) to get access to financial services (lending and insurance) products for their everyday needs.

Get to know the Role

You will report to the Engineering Manager, Insurance, based in Indonesia and will develop the complex backend systems powering the many end-to-end user journeys across all Insurance products available in multiple Grab apps. We're looking for candidates that embody ownership, display a hunger for learning and improvement, excel in autonomy, and have the desire to go above and beyond expectations.

The Critical Tasks You Will Perform

• You will develop high-quality and scalable backend applications
• You will write clean, efficient, and maintainable code to solve challenging problems in the InsurTech domain
• You will collaborate with diverse teams to design, and ship new features
• You will participate in code reviews to maintain code quality and share knowledge
• You will participate in On-Call rotations to ensure the reliability of services

About the Role

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

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

Key Responsibilities

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

GIS / Spatial Data Focus

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

Requirements

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

Preferred:

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

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

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

The objective and purpose of the role:

Responsible in gathering customer requirements, design, build and testing of the network systems in accordance to business needs. Maintain and perform operational tasks for internal and external systems to meet the required service levels.

Key Responsibilities:

• Analyze technical needs, requirements, and state of the network’s infrastructure design, integration, and operations.
• Produce high level architecture designs to meet customer requirements for semi-complex (or) complex systems. Articulate with sufficient knowledge to convince and explain customer on the design.
• Produce low level technical designs from high level architecture designs. Translate a broader infrastructure design or blueprint into technical specifications and details.
• Refine design specifications and prototypes based on inputs from internal / external stakeholders
• Installs or removes hardware and/or software, using supplied installation instructions and tools including, where appropriate, handover to the client.
• Develop a comprehensive testing plan to assess stability, suitability and performance of on-site infrastructure and systems
• Conducts tests, corrects malfunctions, and documents results in accordance with agreed procedures.
• Configures the hardware environment, produces integration test specifications, conducts tests and records the details of any failures.
• Drive the troubleshooting with internal/external system components.
• Reviews requirements and specifications, and defines test conditions.
• Designs test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting outcomes.
• Conducts tests as defined in an integration test specification, records the details of any failures, and carries out fault diagnosis relating to simple failures, reporting the results of the diagnosis in a clear and concise manner.
• Reviews test results and modifies tests if necessary. Provides reports on progress, anomalies, risks and issues associated with the overall project. Reports on system quality and collects metrics on test cases. Provides specialist advice to support other

Key Responsibilities

• Oversee and maintain infrastructure in the warehouse, office, and remote vending network.
• Operating forklifts, reaching trucks, pallet jacks, vending coin and note mech.
• Ensure secure, stable network connectivity to support vending machine telemetry and real-time data collection.
• Handling and operating necessary tools and accessories in maintaining and managing the warehouse.
• Spot check machines on-site for cleanliness, refrigeration maintenance, and repair minor breakdown.
• Implement network security protocols, perform audits, and ensure compliance.
• Monitor network performance and recommend improvements or upgrades.
• Liaise with vendors, and internal teams for technical support and deployments.
• Provide technical leadership and mentorship to team members.
• Manage project timelines, coordinate across departments for planning
• Handling all network related matters.
• Any other responsibilities that may be delegated by the management when required.

Requirements

• Degree in a related field.
• Proficient in Microsoft Office, Google Drive
• Strong troubleshooting skills in physical network environments.
• Familiar with warehouse operations and remote asset management.

The Network Engineer will design, implement,and maintain critical network infrastructure across on‑premise data centers andcloud environments. This role focuses on automation, reliability, operational excellence, and security to ensure high‑performing, resilient systems. You willcollaborate with engineering teams, troubleshoot complex issues, and enablescalable deployment and management of applications.

Key Responsibilities

1. Infrastructure Automation &Operational Enablement

• Develop automation scripts, workflows, and processes that simplify the deployment, configuration, and scaling of applications in both on‑premise and cloud environments.
• Build tools and frameworks that improve operational efficiency and reduce manual intervention.

2. Troubleshooting & IncidentResponse

• Diagnose and resolve network and system issues across multiple layers (infrastructure, platform, and application).
• Participate in on‑call rotations and provide support during major incidents, ensuring quick recovery of customer‑facing services.

3. Solution Ownership & Cross‑TeamSupport

• Take full ownership of end‑to‑end network solutions delivered across the organisation.
• Collaborate closely with other engineering teams to validate, optimise, and maintain network components.

4. Monitoring, Performance & Reliability

• Deploy, configure, and manage monitoring systems to track infrastructure health, utilisation, performance, and availability.
• Analyse data to identify bottlenecks and proactively resolve system vulnerabilities or performance issues.

5. Configuration Management &Disaster Recovery

• Implement and manage configuration management systems that ensure consistency across environments.
• Automate backup, failover, and disaster recovery procedures to improve business continuity.

6. Security & Compliance

• Apply security best practices and ensure network configurations comply with organisational and industry standards.
• Strengthen network defences through hardening, access control, encryption practices, and threat mitigation strategies.

Required Technical Skills

Core Networking Expertise

• Strong understanding of networking fundamentals, including IPv4/IPv6, VLANs, switching, routing, and OSI layer protocols.
• Knowledge of load balancing concepts, server networking, and performance optimisation.
• Experience with Windows and Linux server networking environments.

Network Infrastructure & Operations

• Hands‑on experience in designing, deploying, and troubleshooting WAN, LAN, wireless, voice, structured cabling, and network security systems.
• Familiarity with firewalls, IDS/IPS configurations, NAT, DNS, DHCP, and ensuring optimal health of wireless networks.

Automation & Provisioning

• Experience with infrastructure automation tools such as Ansible, Puppet, Vagrant, Docker, or equivalent technologies.
• Ability to leverage automation for configuration management and scaling.

Security & Advanced Concepts

• Understanding of Network Access Control (NAC), PKI, common cybersecurity threats, and mitigation techniques.
• Knowledge of CDN concepts and distributed network optimisation.
• Awareness of emerging networking technologies:
• SD‑WAN, VXLAN, OpenFlow, Open vSwitch
• OpenStack / CloudStack networking
• NFV (Network Functions Virtualization)
• SASE (Zero Trust, CASB, Secure Web Gateways)
• Networking for IoT ecosystems

Soft Skills & Attributes

• Strong analytical thinking and ability to diagnose complex technical issues.
• Detail‑oriented with strong follow‑through and ownership of assigned tasks.
• Able to work independently under pressure and manage multiple priorities.
• Clear communicator, both written and verbal, capable of explaining technical concepts to non‑technical stakeholders.
• Customer‑focused mindset with a commitment to service reliability and quality.

Qualifications

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or related technical fields.
• Relevant experience in enterprise networking, infrastructure automation, troubleshooting, and network operations is strongly preferred.

Please submit resumes to john@oaktree.com.sg with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities

• Operate and maintain HPC network fabric and data centre switching infrastructure, ensuring performance and reliability
• Manage network configuration, monitoring, backups, and capacity/utilisation reporting
• Troubleshoot and resolve network issues across Layer 2/3, routing, and switching environments
• Support SDN, firewall, and VPN administration to ensure secure and stable operations
• Work closely with system, storage, and security teams to optimise overall cluster performance
• Participate in on-call rotation to support critical network incidents and escalations
• Maintain network documentation, runbooks, and change records in line with ITIL practices

Requirements

• At least 2 years of experience in network support, monitoring, or troubleshooting within enterprise or HPC environments
• Hands-on experience with data centre networking, SDN, firewalls, and VPN technologies
• Strong understanding of TCP/IP, VLANs, and routing protocols such as OSPF and BGP
• Familiar with network monitoring tools and able to troubleshoot effectively under pressure

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

- 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 

Key Responsibilities

Special Projects Leadership

• Lead high-impact, cross-functional projects spanning air network scheduling, airline partner planning, and operational performance.
• Act as a strategic advisor to planning leadership, identifying opportunities for innovation, efficiency gains, and capability enhancement.
• Drive end-to-end project execution from concept through deployment and adoption.

Advanced Analytics & Optimization

• Develop and implement optimization models and analytical frameworks to improve network design, scheduling efficiency, and partner performance.
• Apply data-driven approaches to solve complex planning problems, including routing, capacity allocation, and operational trade-offs.
• Translate analytical outputs into actionable insights for planning teams and leadership.

Automation & Tool Development

• Design, build, and maintain automation tools, scripts, and lightweight products to streamline planning workflows and reduce manual effort.
• Develop scalable solutions that integrate with existing scheduling and planning systems.
• Continuously identify opportunities to eliminate inefficiencies through automation and process redesign.

Cross-Functional Enablement

• Work closely with scheduling engineers, network planning engineers, operations teams, and partner management to embed solutions into daily workflows.
• Adapt tools and approaches to suit a wide range of users, from highly technical to operational planners.
• Provide hands-on support to ensure successful implementation and adoption of new tools and processes.

Experimentation & Innovation

• Lead experimental initiatives focused on advanced automation, optimization techniques, and emerging technologies.
• Pilot new approaches, evaluate outcomes, and scale successful solutions across the organization.
• Stay current with industry trends and best practices in airline planning, logistics optimization, and data analytics.

Standards & Best Practices

• Establish best practices for data usage, model development, and automation within the planning team.
• Ensure solutions are robust, maintainable, and aligned with operational realities.
• Document tools, methodologies, and processes to support long-term sustainability.

Minimum Qualifications

• Bachelor’s degree in Engineering, Data Science, Operations Research, Aviation, or related field, or equivalent experience.
• Significant experience in data analysis, analytics engineering, or operational analytics roles.
• Experience in airline scheduling, air network planning, or aviation/logistics operations.
• Demonstrated experience building automation tools, analytical models, or internal products (e.g., scripting, dashboards, optimization tools).
• Strong problem-solving skills with the ability to work across both technical and operational domains.

Preferred Qualifications

• Experience in air cargo operations or express logistics networks.
• Exposure to optimization techniques (e.g., linear programming, simulation, network optimization).
• Experience integrating tools with planning or scheduling systems.
• Some familiarity with data engineering, APIs, or system integration concepts.
• Experience leading cross-functional or innovation-focused projects.

Key Competencies

• Advanced analytical and problem-solving capability
• Automation and tool development
• Aviation and network planning domain knowledge
• Cross-functional leadership and influence
• Practical, solution-oriented mindset
• Adaptability and ability to work with diverse stakeholders
• Strong attention to detail and execution discipline
• Innovation and continuous improvement mindset

About Global PaymentThe Global Payment team of ByteDance provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on to ensure that our users have a smooth and secure payment experience on ByteDance platforms including TikTok.The Payment Network PI team is part of the Global Payment Network organization. We focus on supporting binding payment instruments via diverse payment channels and managing the instruments lifecycle. Our mission is to ensure high-quality and reliable payment instruments through robust system design and multi-layered safeguards, enabling users to enjoy a smooth and secure payment experience on ByteDance platforms such as TikTok.Responsibilities1.Design and develop high-quality, scalable, and maintainable backend systems and architectures;2.Write clean, efficient, and well-documented code; review and debug code to maintain overall system quality;3.Identify, prioritize, and execute tasks throughout the software development life cycle, ensuring timely and high-quality delivery;4.Collaborate closely with cross-functional teams to analyze and break down complex business requirements into clear, actionable tasks;5.Continuously research, evaluate, and adopt emerging technologies to enhance system performance and maintain technical excellence.

Qualifications

Minimum Qualification(s)1. Bachelor's degree in Computer Science, related technical discipline, or equivalent practical experience;2. Software development experience in one or more general purpose programming languages, such as Java/Go/C++/C#/Python;3.Proven experience in backend development and distributed systems architecture;4. Solid understanding of relational databases and backend infrastructure;5.Strong analytical thinking and exceptional attention to details;6. Excellent communication skills, with the ability to clearly explain complex ideas and collaborate effectively with both technical and non-technical teams.Preferred Qualification(s)1. Minimum 2 years relevant work experience from a large-scale internet business;2. Experience in payment systems or financial transaction processing is a plus.

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.

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