As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Skillset : Azure, Professional, Cyber Security Governance, Risk & Co

• Familiar working with Microsoft Azure
• Day to day security monitoring on the Azure security alerts, DSM alerts and any other custom alerts related to security.
• Day to day operation of administration and support on Microsoft Cloud Defender, Logs Analytics Workspace, Network Security Groups and Azure Trend Micro Cloud One
• Incident management and resolution, raising tickets to Microsoft and Trend Micro to support and rectify any problems.
• Software upgrade of TrendMicro Cloud One to remediate any vulnerabilities and to get the most out of security administration enhancement
• Support on the vulnerability management in GCC to recommend the mitigation actions to the system OIC and GCC infra
• Conduct queries on the log analytic to support cyber proactive investigation as per Cyber needs.
• Some Knowledge of scripting , az cli, PowerShell , KQL and Logic Apps is advantageous

Capacity Planning Engineer

Smart IMS is a leading provider of information technology solutions, offering a wide range of services to businesses worldwide. With a strong focus on innovation and customer satisfaction, we help organizations streamline operations, improve efficiency, and achieve their strategic goals.

We are currently looking for a Capacity Planning Engineer to forecast sufficient vendor resources for Hosting and Network Services partners.

Responsibilities:

- Develop automation for reporting needs.

- Responsible to Work Queue status reporting and Capacity Reporting

Requirements:

- Proficient in Capacity Planning

- Familiar with report automation

Additional Information:

- Location: HarbourFront

- Working hours: Monday to Friday, 9 am to 6 pm.

- Competitive salary commensurate with experience, with 14 days of Annual Leave and above market medical coverage / insurance.

- Start off as a 1-year contract with 2 months' notice period.

The Red Hat Quay team is seeking a Principal Quality Engineer to join a group of passionate professionals developing Red Hat Quay and quay.io. As a Principal Quality Engineer, you will work as a core member of an engineering team, rapidly testing, securing, and releasing new capabilities. You will collaborate with cross-functional teams, including Product Management and Site Reliability Engineers, to gain a deep understanding of features, customer use cases, and technical implementations. This knowledge will enable you to design real-world test plans, build regression test suites, and drive the integration of quality-driven methodologies throughout the software development lifecycle.

You will be responsible for developing and executing both manual and automated tests to accelerate the testing process and improve product quality. Our Quality Engineers are not just black-box testers; they have a deep understanding of software internals, can debug issues, and write automated tests using scripting and user-level automation tools. As an individual contributor, you’ll take ownership of tasks from inception to completion with minimal oversight, while collaborating with other engineers to ensure best practices and high-quality deliverables.

In this role, you’ll also have the opportunity to engage with open-source communities, contribute to the integration of Red Hat, open-source, and partner technologies into a cohesive platform, and play a critical role in delivering high-quality software to customers and open-source ecosystems.

If you're passionate about building quality solutions for distributed systems, solving complex challenges, and contributing to the next wave of hybrid cloud innovation, we invite you to join our team.

What you will do

• Architect and lead implementation of new features and identify quality improvements for Red Hat Quay and quay.io
• Innovate in the OCI container domain by participating in upstream communities
• Provide technical vision and leadership on critical and high-impact projects
• Ensure non-functional requirements including security, resiliency, and maintainability are met
• Write unit and integration tests and work with quality engineers to ensure product quality
• Use CI/CD best practices to deliver solutions as productization efforts into Quay
• Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
• Collaborate with product management, other engineering, and cross-functional teams to analyze and clarify business requirements
• Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
• Mentor, influence, and coach a distributed team of Quality Engineers

What you will bring

• Advanced experience testing applications in Golang and/or Python
• Advanced experience working with OCI container registries and tools like docker, podman, skopeo
• Advanced experience in Kubernetes, OpenShift, or other cloud-native technologies
• Ability to quickly learn and guide others on using new tools and technologies
• Experience with source code management tools such as Git
• Proven ability to innovate and a passion for staying at the forefront of technology.
• Excellent system understanding and troubleshooting capabilities
• Autonomous work ethic, thriving in a dynamic, fast-paced environment.
• Technical leadership acumen in a global team environment
• Excellent written and verbal communication skills

The following will be considered a plus (use for all three):

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
• Understanding of how Open Source and Free Software communities work
• Experience with development for public cloud services (AWS, GCE, Azure)

Responsibilities:

• Work closely with other members of the team to develop software solutions to grow the P&L
• Design, develop and own high-performance solution stacks
• Maintain, monitor, extend and optimize existing trading systems
• Contribute to the firm’s technical roadmap
• Contribute to inter-team and cross-team efforts to ensure success of the business
• Provide L3 support for production issues

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering or similar disciplines
• Familiarity with Linux operating systems
• Good communication skills
• Interest in financial markets (with at least a basic understanding of cryptocurrencies)
• Must be able to multitask and work with minimal supervision
• Good grasp of software engineering principles
• Ability to translate non-technical requirements into technical tasks
• Good understanding of low-to-high level testing and performance optimization principles, statistical performance measuring and test-driven development approaches
• Understanding of low-level performance tuning concepts (e.g. microprocessor architecture, Linux kernel, networking, blockchain architecture)
• Experience working on high performance, low latency trading systems is a must
• Proficiency in Python and/or C++ preferred
• Knowledge of SQL and NoSQL (e.g. Redis, Mongo, Timescale) is a plus
• Knowledge of other technologies such as CI/CD, Docker and Kubernetes is a plus
• Familiarity with cloud computing services is a plus

Job Description

• Work along with the Project team in the DevOps environment.

• Guiding the continuous integration, continuous deployment and continuous testing.

• Work closely with the development team and operation team to create DevOps strategy and toolset that suits the individual squads.

• Setup, deploy and maintain scalable, high availability systems

• Perform and automate deployment and security hardening of systems

• Automate and build up scalable containerised systems/environment using latest technologies (e.g. Redhat Openshift, MLOps tools, etc)

• Automate security hardening in testing, deployment and production setup based on industrial best practices

• Setup and maintain CI/CD, automated testing, development and delivery environments

• Writing scripts/programs for service monitoring and health check of systems

• Day-to-day monitoring, backup, deployment and maintenance of systems

About You:

• Experience with cloud orchestration, configuration management and auto-scaling techniques

• Experience on building and developing CI/CD pipeline and workflow (Gitlab CI/CD preferred)

• Experience on building and managing container image pipeline

• Experience with automation tools such as Ansible/Terraform

• Experience with installation and configuration of Redhat SSO

• Experience with load balancing setup for TCP/IP, HTTP, DNS, routings

• Knowledge of IT security standards, such CIS

• Good hands-on experience on using Infra-as-a-Code for configuration management and application deployment

• Overall knowledge on one or more of the following programming languages (Java, Python)

• Knowledge on continuous integration, test automation, version control, and software configuration management.

• Knowledge of machine learning and setup of MLOps tools such as H2O

Desired Background:

• Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent

• Minimum 3 years in software development industry or server infrastructure setup

• Experience in software-defined infrastructure (OpenStack).

• Experience with infrastructure provision tools (Docker, Ansible, etc).

• Good understanding of hardware infrastructure systems (network switches, firewalls, routers etc.) and Linux operating system.

• Basic understanding of DevOps principles and practices. Knowledge in DevSecOps will be an added advantage.

• Self-motivated and good communication skills. Good hands-on experience on using AWS Cloud Formation scripts for configuration management and application deployment.

• At least 1-year experience working closely with infrastructure. Experience in Linux, Windows, network troubleshooting is a plus,

• Experience on working in an Agile environment, in a close collaboration with developers, Knowledge on continuous integration, test automation, version control, and software configuration management

• Excellent communication skills.

EA Number: 11C4879

• 7+ years of professional experience in QA / Testing and agile methodology
• Skilled in both Manual and Automation testing
• Tooling experience in SQL Server/DB2/SQL, SOAP UI, XML, JIRA knowledge
• Experience in Selenium, APPIUM, KATALON, TOSCA, API, WINDMILL is required
• Good team player, fast learner and good analytical skills
• Strong knowledge of software QA methodologies, tools and processes
• Hands-on experience with automated testing tools
• Experience with performance and/or security testing is a plus

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

Role Responsibilities

• Responsible for the running of small, medium and large size projects in Singapore and throughout Asia Pacific
• Undertakes a client facing role in the development, design and coordination of engineering project services for mechanical designs, installations, systems, equipment and facilities
• Actively involved in the production of drawings, calculations, schedules and specifications for all related mechanical/electrical systems
• Significant focus on the design of Mission Critical Data Centre Mechanical services including all equipment, systems and interfaces. For mechanical services including cooling, AC, ventilation, generator fuel delivery systems, associated hydraulic systems, public health & plumbing, fire protection
• Carries out feasibility, due diligence, condition/dilapidation and other types of surveys and tests on new & existing sites and facilities in respect of mechanical services
• Visits sites regularly and carries out inspections during construction stage of projects to ensure that the designs produced are realized practically and accurately
• Specifies activities to ensure that manufacturing, construction, installation, and operational testing confirm to functional specifications and customer requirements
• Day to day decision making on project progress, ongoing requirements for deliverables against detail and programme and direct liaison with and advice to clients
• Represents Company at technical meetings with clients, stake holders, professional and contractors teams
• Ensures engineering deliverables, including drawings, calculations, schedules and specifications meet required robust industry and legal standards
• Leads on the coordination of engineering services internally between MEP disciplines and externally between MEP and all other relevant designs
• Takes a holistic view in the selection and application of engineering concepts and solutions
• Based in Singapore but may be required to travel through out the region and between offices

Role Requirements

• At least 8 years overall experience with 3 years Data Centre design experience
• Broad design experience across Commercial, High Rise, Hotels & Leisure would be beneficial
• Degree or higher in appropriate engineering discipline or have sufficient equivalent experience
• Singapore Professional Engineer registration or progress towards beneficial
• Significant experience in production of drawings, calculations, schedules & specifications for a range of building types
• Sound knowledge of key Health and Safety issues and legislation including Singapore DfS
• Knowledge of MS Office applications Outlook, word, excel, PowerPoint etc
• Knowledge of AutoCAD/Revit/Hevacomp/IES/Amtec etc BIM/CAD calculation software
• Good understanding of Singapore and, preferably, Asia regional standards/Regulations/Codes
• Be a motivated, highly dependable individual
• Strong engineering fundamentals, including design principles, machine elements, materials, and fabrication methods
• Ability to prioritize own workload
• Ability to work to deadlines
• Managerial skills, projects and resources focused
• Presentation skills
• The ability to perform complex project / business case analysis to justify technical decisions and present the justification to management in a high level review

Responsibilities:

• The successful candidate for this role is expected to have a strong background in Regression and end-to-end Testing, with a deep understanding of JSON, API, and SQL. Familiarity with financial instruments and entities will be considered a plus.

• This role requires an individual who is a fast learner, able to quickly comprehend business requirements and translate them into effective test cases using our in-house automated regression tools.

Skillset (Must have)

• Proven experience as a Software Test Engineer or similar role.

• Proficient in JSON, API, and SQL.

• Experience in regression and end-to-end testing.

• Strong problem solving skill and attention to detail.

• Excellent communication skill.

• Ability to learn quickly and work in a fast-paced environment.

• Experience in writing clear, concise, and comprehensive test plans and test cases.

• Willingness to support BAU operations as needed.

Skillset (Good to have)

• Familiarity with financial instruments and entities.

• Experience with performance testing.

• Knowledge of Agile/Scrum development principles.

• Experience with automated testing tools.

• Understanding of coding and scripting for automation purposes.

• Knowledge of continuous integration and continuous delivery (CI/CD) processes.

• Familiarity with version control systems like Git.

• Knowledge of software QA methodologies, tools, and processes.

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.

Jiangsu Miracle Logistics System Engineering Co., Ltd. is located in Wuxi, a famous city in regions south of the Yangtze River. Founded in 1984 and listed on the Shenzhen Stock Exchange in June 2004, it is the earliest listed company in the industry in China. Its technology and sales rank first in the industry in China.

Currently, we need to recruit college students majoring in chemical engineering, lithium batteries, materials, and energy, battery remanfacture.

Our client is a distributor of automotive and industrial solutions.

• Manage and configure infrastructure systems and applications, network devices, desktops, mobile devices, and remote devices.
• Ensure automatic system backups, successful execution of recovery and disaster recovery plans, application of patches, and closely monitor system resource usage.
• Collaborate with external vendors to ensure compliance with Service Level Agreements (SLA).
• Research and source products, solutions, and vendors for ongoing projects.

Requirements:

• Diploma in Computer Science/Information Technology or equivalent.
• At least 2 years of relevant working experience.
• Skilled in enterprise networking, with expertise in WAN, LAN, and VPN optimization, implementation, and support.
• Knowledgeable about Alcatel PABX, FortiGate devices, Cisco Systems, and Unifi Wireless AP Controllers.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Responsibilities:

• The successful candidate for this role is expected to have a strong background in Regression and end-to-end Testing, with a deep understanding of JSON, API, and SQL. Familiarity with financial instruments and entities will be considered a plus.

• This role requires an individual who is a fast learner, able to quickly comprehend business requirements and translate them into effective test cases using our in-house automated regression tools.

Skillset (Must have)

• Proven experience as a Software Test Engineer or similar role.

• Proficient in JSON, API, and SQL.

• Experience in regression and end-to-end testing.

• Strong problem solving skill and attention to detail.

• Excellent communication skill.

• Ability to learn quickly and work in a fast-paced environment.

• Experience in writing clear, concise, and comprehensive test plans and test cases.

• Willingness to support BAU operations as needed.

Skillset (Good to have)

• Familiarity with financial instruments and entities.

• Experience with performance testing.

• Knowledge of Agile/Scrum development principles.

• Experience with automated testing tools.

• Understanding of coding and scripting for automation purposes.

• Knowledge of continuous integration and continuous delivery (CI/CD) processes.

• Familiarity with version control systems like Git.

• Knowledge of software QA methodologies, tools, and processes.

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.

• Should have support and maintenance experience preferably for banking projects
• Should have experience in Java, Springboot, Angular, UNIX, database
• Familiar with Frontend technologies and able to troubleshoot eg: JQuery,Javascript, Angular etc.
• Solid experience in Level 2 production support, incident management, certificate/keys renewals,root cause analysis, performance tuning and bug fixing
• Experience in handling & troubleshooting applications in Java stack applications On Prem/AWS environments
• Experience in Incident Management System, JIRA
• Good experience in PL/SQL, or Maria DB or Oracle and WebSphere/Weblogic/JBoss App Server
• Able to provide operational support during releases/patches/upgrades etc.
• Should possess good oral and written communication skills and willingness to learn and adapt to the dynamic environment
• Able to work under pressure and in a fast pace environment, passionate, enthusiastic and self-motivated.

Our client provides advanced instruments and systems designed for high performance across various industries.

• Prepare service and spare parts quotations to customer inquiries.
• Build and maintain strong customer relationships to ensure high-quality service and support.
• Perform in-house repairs and on-site commissioning for gas and water quality analysers, CEMS, and AQMS, troubleshoot issues.
• Collaborate with customers to address service concerns and offer technical solutions.
• Support the project team in conducting FAT and SAT and deliver product training to end users and distributors.

Requirements:

• Degree in Mechanical Engineering/Environmental Science Engineering or equivalent.
• At least 2 years of experience in the analytical instruments.
• Good knowledge of gas analyzers, CEMS, and water quality analyzers.
• Customer-oriented with a positive attitude, along with excellent planning and time management skills.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Our client is a Global Company that provides Industry Sensors and Optical Solutions to their customers across more than 60 countries globally. They are currently hiring for a Sales Engineer and will like to invite suitable candidate to send in your detailed resume to [email protected]

Sales Engineer

Responsibilities:

• Establish and expand the customer network for Industrial Sensors, Power Supplies, Cables, Transducers, RFID, Vision Cameras and Networks
• Acquire new customers in the Semicon, Life Science, Automation/Robotics, F&B, Metal Working and Packaging industry
• Manage and grow Key Accounts
• Responsible for major customers, drive revenue and profit
• Evaluate customer requests and propose appropriate solutions
• Identify new opportunities, drive new business development and work out solutions for the customer with the technical support team
• Drive & conduct Roadshow/Product Seminar/Technology Day regularly & Project management
• Update customers with new products launch
• Promote and Market products and solutions
• Ensure existing customers satisfaction, reorder and customer retention

Requirements:

• Bachelor’s degree in electrical, Industrial Engineering, Automation, Controls or related fields
• At least 3 years relevant sales application experience
• Good English (spoken and written)
• Good product and application knowledge in Industrial Automation
• Good communication/Negotiation skill
• Customer orientated
• Versatile in utilizing CRM (preferably C4C - SAP Cloud for customer) and SAP system