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

Pre-requisites

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

Key Responsibilities

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

Experience:

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

Skill Sets

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

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Key Responsibilities

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

Requirements

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

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Job Description

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

Key Responsibilities:

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

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

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

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

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

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

•Any other ad-hoc duties.

•This is an individual contributor role.

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

Requirements

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

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

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

•Good critical thinking and problem-solving abilities.

•Ability to work independently and manage multiple task assignments.

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

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

•Experience in ETL pipeline design, implementation and maintenance.

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

• Well Established Company

• Basic $4,500 – $6,500 + AWS + VB

• Working location: Upper Thomson

• Working Days: Monday - Friday

• Working Hours: 8.30am - 5.30pm

• Must have relevant steam related experience

Key Responsibilities:

• Sales & Customer Support

  • Recommend suitable products and engineering solutions based on customer needs.

  • Provide pre-sales and post-sales technical support, including troubleshooting.

  • Work closely with the sales team to deliver solutions and manage customer expectations.

  • Build strong, long-term relationships as a trusted technical advisor.

• Engineering & Technical Solutions

  • Diagnose technical issues and propose effective, practical solutions.

  • Engage with customer engineering and maintenance teams to resolve challenges.

  • Identify opportunities for improvements, cost savings, and efficiency gains.

  • Collaborate with internal teams and external suppliers to implement solutions.

• Presentations & Training

  • Deliver product demonstrations and technical presentations to customers.

  • Conduct training sessions for both internal teams and clients.

  • Support the development of technical and marketing materials.

• Project Management

  • Manage engineering projects from initiation to completion.

  • Coordinate with customers and suppliers to ensure timely and cost-effective delivery.

  • Provide alternative solutions when issues arise during execution.

  • Maintain proper project documentation.

• Supplier & Market Coordination

  • Work with suppliers/principals to obtain technical support and quotations.

  • Act as a bridge between customers and suppliers to resolve technical matters.

  • Stay updated on industry trends and identify new product opportunities.

  • Other ad hoc duties as assigned

Requirements:

• Degree/Diploma in Mechanical/Chemical Engineering or related field with 2 years of relevant experience

• Experience with steam audit / systems, boilers, valves, or piping preferred

• Knowledge of industrial processes (oil & gas, chemical, power, etc.)

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

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

We regret that only shortlisted candidates will be contacted.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

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)

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

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

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

Key Responsibilities

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

Requirements

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

Nice to Have

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

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

This authorizes us to:

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

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

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

About the Role

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

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

Key Responsibilities

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

GIS / Spatial Data Focus

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

Requirements

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

Preferred:

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

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

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

Responsibility:

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

Requirements:

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

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

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No. 99C4599

We regret that only shortlisted candidates will be contacted.

Responsibilities

• Administrating Active Directory and Windows Update Services

• Manage and maintain all Active Directory objects, DNS records and Group Policies, handling requests for creation and removal of related items

• Assisting the Support Engineer or Software Engineer in problem resolution beyond the capability of the 1st Level Support Staff. 

• Performing system recovery if needed.

• Escalating unsolvable problems to the 3rd Level Support Staff and reports the escalation to superior.

• Ensuring that the System runs according to contractual specifications after problem resolution.

• Providing advice on system / database performance monitoring and tuning.

• Ensuring deployments of approved patches/releases are implemented accordingly to Change Request.

• Complete all Service Requested accordingly to SLA timeframe.

• Assisting the Customer in the verification, isolation and/or provision of a temporary work-around for the problem logged beyond 2nd Level Support Staff capability. 

• Escalating unsolvable system problems and service request to the OEM/Vendor for technical support.

• Coordinating system development tasks to include design, integration and formal testing on the Change Request.

• Overseeing all transitions into production on the Change Request.

• Developing and complete actions in system specifications, technical and logistical requirements and other disciplines on the Change Request.

• Creating and maintain programmatic and technical documentation to insure efficient planning and execution on the Change Request.

• Managing and document system configurations on the Change Request.

• Perform troubleshooting and resolve incident based on SLA.

• Generating the relevant administrative records and reports.

Requirements

• Degree/Diploma in Computer Science, Computer Engineering or equivalent, although consideration will be given to experience and certifications in lieu of degree.

• Minimum 3 to 5 years IT experience

• Past working experience in Cloud environment is an advantage

• Able to handle demanding service response and recovery turnaround

• Able to manage daily support tasks to meet stringent SLA requirements

• Preferably with Microsoft Certification and/or ITIL certification.

• Dynamic, customer oriented, experience working in a fast paced environment.

• Good Knowledge of following products will be advantageous:-Linux,Unix,Active Directory/DNS/GPO, ADFS, Microsoft Azure Stack,Microsoft Windows 2016-2022

Licence no: 12C6060

- 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.