Job Description:

We are seeking a talented and motivated Automation Engineer (Robotics / Process) to join our team. As an Automation Engineer, you will play a crucial role in designing, developing, implementing, and maintaining automation solutions to streamline our processes, improve efficiency, and enhance product quality. You will work in a dynamic environment that encourages innovation and continuous improvement.

Responsibilities:

1. Automation Framework Development
   Design, develop, and maintain automation frameworks for software and hardware testing, process automation, and data integration.
2. Collaboration
   Work with cross-functional teams to understand automation requirements and deliver solutions that meet business needs.
3. Documentation
   Write and maintain efficient, reusable documentation for automated tasks and prepare test cases.
4. Efficiency Improvement
   Identify areas where automation can improve operational efficiency and minimize manual intervention.
5. System Maintenance
   Maintain and troubleshoot existing automation systems, applying necessary updates and enhancements.
6. Industry Awareness
   Stay informed about industry trends and emerging technologies to recommend and implement improvements.
7. Technical Support
   Provide training and technical support to team members on automation tools and best practices.
8. Process Documentation
   Record automation processes, test cases, and results for reference and audit purposes.
9. Project Coordination
   Coordinate meetings with business stakeholders to ensure timely delivery of automation solutions.

Key Attributes:

• Consulting Skills: Ability to analyze business requirements, propose realistic solutions, and ensure project control in alignment with business needs.
• Problem Solving: Analyze, implement, and support solutions until deliverables meet expectations.
• Support Role: Handle tickets and assist in the support process.
• Requirement Gathering: Collaborate with clients to define and gather business requirements.

Qualifications:

• Experience: 4–7 years of relevant work experience in automation engineering, with a focus on robotics and process automation.
• Technical Skills: Proficiency in Linux, VBA, and relevant programming languages.
• Development Practices: Experience with CI/CD (Continuous Integration and Continuous Deployment) practices.
• Analytical Ability: Strong problem-solving skills and attention to detail.
• Soft Skills: Excellent communication and collaboration abilities.
• Adaptability: Ability to thrive in a fast-paced, agile development environment.
• Certifications (Preferred): Certification in automation or related fields.
• Industry Experience (Preferred): Experience in logistics or manufacturing.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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Position title : Sales Engineer

• Location: Loyang Industrial Estate
• Working Days: Mon - Fri (830 a.m. to 530p.m.)
• Salary : $3,000 - $4,500 (depends experience)

Requirements

• Possesed Bachelor’s degree in Engineering, Mechanical Engineering, Electrical Engineering preferred or related technical field, Minimum Diploma in related technical field.
• Minimum of 3 years of experience in a sales engineering role, preferably within the equipment sales and service industry.
• Technical Skills: Strong understanding of vacuum pump technology or other technical equipment. Proficiency in technical sales and solution design.
• Sales Skills: Proven track record in achieving sales targets and managing customer relationships.
• Travel: Required to support regional customers in Southeast Asia (30-40%).

Key Responsibilities:

1. Customer Engagement and Relationship Management:

• Develop and maintain strong relationships with key customers and stakeholders.
• Conduct needs assessments to understand customer requirements and challenges.
• Provide technical consultation to customers, offering solutions that align with their operational goals.

2. Sales Support:

• Scout, develop and obtain leads with new customers to develop sales in your assigned territory.
• Prepare and deliver compelling presentations and product demonstrations to potential clients.
• Develop detailed quotes and proposals, addressing customer needs and specifying technical requirements.

3. Service Support:

• Liaise with customers, end-users and purchasers to introduce the company’s service capabilities.
• Drive the sales of services to existing and new customers with equipment sold by the company.
• Coordinate with the engineering and service teams to ensure seamless project execution and delivery.
• Act as a point of contact for post-sales support, troubleshooting and sales of service.

4. Market and Product Knowledge:

• Stay up-to-date with industry trends, emerging technologies, and competitive landscape.
• Continuously enhance product knowledge and understand advancements in equipment and service offerings.
• Share insights, feedback and customer requirements with the product development and marketing teams to drive innovation.
• Participate in all company-participated trade shows and seminars in Singapore and abroad.

5. Training and Support:

• Educate customers on equipment features, benefits, and maintenance requirements.
• Conduct training sessions for customers and internal teams to ensure proper usage and understanding of products.
• Assist management with any other ad-hoc tasks and duties as and where required.

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

• Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally.
• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)
• Troubleshoot priority incidents, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring sustainable software releases.
• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
• Build and drive adoption for greater self-healing and resiliency patterns.
• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
• Adhere to firm-wide architecture standards, risk management and security policies.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Up to date with latest ongoing technologies in the industry
• Well-spoken/Articulate and Emotionally intelligent
• Well connected to industry members, attends developer and tech meetups.
• Strong understanding of DevOps practices, tools, and techniques.
• Degree in Computer Science/ IT or other related fields
• Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc.
• In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills.
• Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting.
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins.
• Good understanding of networking protocols and cybersecurity best practices in public cloud environment
• Advanced working SQL knowledge and experience working with RDBMS, Hadoop, and NoSQL DB.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

• Infrastructure setup, design, and performance should be planned, built, and optimized.
• Manage the backend information systems, such as the virtualization platform and virtual machines, network storage, backup, and fiber channel switches.
• Extensive knowledge of administering Linux. must be at the expert level
• Strong network fundamentals – IPv4/IPv6 – addressing, NAT, Routing
• Private cloud administration experience is a must – VMWare / Hypervisor
• In-depth experience in DNS, DHCP, Proxies, Linux firewalls & network security is a must.
• Maintain and Administer Security Appliances of different projects
• Design and propose a plan that will improve the hosting service of the Data Center
• Strong understanding of High Availability setup for Linux/Windows applications (etc. webs, database)
• Troubleshooting and maintenance of networks and systems
• Good to have disaster recovery planning and execution

1,Provide First Call Resolution (FCR) technical support via phone and email. Ensure calls are answered and emails are responded in a timely manner.

2. Perform first level troubleshooting on all reported incidents and escalate incidents to 2nd level resolver groups as per work instructions.

3. Furnish and submit timely updates to customers on the status of outstanding issues within targeted Service Level 4. Maintain ownership of cases and follow-up on reported issues until closure and gather accurate and complete relevant information is recorded.

5. Manage customer expectations and notify Team Lead in the event of unusual surge in calls of a specific nature.

6. Handle initial classification/ prioritization of the incidents. Track the progress of resolution and provide regular updates for follow-up actions and incident status.

Defines and develops the value proposition to lead the formulation and definition of AI use case objectives and technical requirements based on user needs, an understanding of business value industry requirements and machine learning and statistical models.

Conceptualizes, builds, develops, and enhances a client's analytical models. Determines the right modeling techniques to answer the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights.

Works with large scale computing frameworks, data analysis systems, and modeling environments. Embeds AI and analytic models into enhanced large-scale business processes and operational systems by collaborating with Application Developers and Infrastructure Architects.

As a recognized subject matter expert and authority, applies analytics methods and adds value to problem domains.

Influences a client's strategic decisions by using deep industry expertise and deploying innovative AI solutions in the operational systems.

Education And Experience Required

• PhD degree in Computer Science, Engineering, Mathematics, Physics or related field with 5+ years of relevant experience.
• OR Master´s Degree in these areas and at least 8 years of relevant experience.

Knowledge and Skills

• Extensive knowledge of data science and data engineering methodologies including but not limited to classical regression, machine learning, deep learning, association rules, sequence analysis, cluster analysis, computer vision and natural language processing.
• Extensive knowledge of Python and expertise with deep learning frameworks such as PyTorch and TensorFlow.
• Experience with large scale training and inference, and machine learning pipelines in production systems.
• Knowledge of Generative AI and Large Language Models, including prompting and finetuning techniques.
• Understanding of software engineering methodologies and design patterns, as well as IT enterprise architectures (containers and container orchestrations solutions, cloud solutions).
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• Advanced communication and presentation skills.
• Strong analytical and problem-solving skills.
• Excellent interpersonal skills and effectiveness in working across geographical boundaries.

Business Acumen:

• Relates risks and challenges the customer should expect to encounter with the solution with other client efforts or projects (use of internal knowledge of organization; trusted advisor relationship).
• Develops Architecture Specification deliverables that map customer business requirements into complete information systems (technologies, processes and people) or operational solutions.
• Ability to consistently apply business management and financial concepts, capital investment, financial modeling, and general aspects of business contracts. Use this knowledge to analyze business needs and develop meaningful business recommendations.
• Ability to apply knowledge of how the industry uses IT to address business challenges using, for example, technical standards and infrastructure, cross-industry trends that impact IT investment, industry-specific roadmaps, and IT enablers.
• Ability to perform business process analysis/synthesis using modeling or simulation tools and techniques, such as workflows and diagrams to show interrelationships of multiple processes, tracking instances/characteristics of process elements.

Technical:

• Broad IT industry knowledge with depth in multiple areas.
• Has pulse on future technology or operational trends as they relate to and support customer business directions ("trusted advisor" role).
• Broad knowledge of IT and business standards and best practices and how to apply them appropriately in solutions.
• Expert or Master level of knowledge of multiple technologies or IT disciplines.
• Able to design planning for accessibility, scalability, and availability.

Engagement Delivery:

• Ability to write Statements of Work for large enterprise or global level solutions that span multiple technologies or operational areas.
• Ability to apply program/project management methods and processes to define, plan, cost, resource, track and ensure the accomplishment of targeted goals for large enterprise or global level projects.
• Successfully works on project teams (individual success defined by how the organization works as a team, including resource and skill sharing across the organization).

Opportunity Pursuit:

• Able to play a leadership role in business development activities for large, complex opportunities.
• Lead in identifying, qualifying, and closing large, complex opportunities.
• Positions the company offering against the competition.
• Is able to provide the company with the voice of the account.
• Play key role in preparing proposals and bids for large, complex opportunities.
• Manage internal reviews and contribute to solution governance processes for large, complex opportunities.
• Build rapport and trust with client.
• Demonstrates excellent consultative, solution selling skills.

Leadership:

• Collaborates effectively with the project manager to manage regional and global projects as necessary. For architectures of project scope may include the technical management of customer staff assigned to implementation team.
• Plays a leading role in the AI & Data Science profession at both local and regional level.
• Makes consistent and ongoing high quality contributions (at least 4 per year) to the company knowledge systems that are recognized by the AI & Data Science and Architect professions to represent best practice.
• Makes formal recommendations to improve the level of job satisfaction for other company employees working on the project.
• Can significantly contribute in the development of new company services and modifications to the methodology.
• Leads in development and delivery of training.
• Coaches and mentors junior level individuals within the AI & Data Science and Architect professions.
• Leads in the definition of the company unit's processes, standards, and policies.

Consulting:

• Build and manage long-term, strategic relationships at CEO and CIO level.
• Excellent customer influence and negotiation skills.
• Ability to strategically consider all sides of an issue within the contexts of time, breadth, and range of options.
• Ability to systematically gather, assess and apply critical organizational, technical, operational, and sales/marketing information for business decisions.
• Ability to prepare clear, concise, and persuasive communications for multiple audiences, including demonstrating effective writing and presentation skills, listening actively, and projecting a credible image.
• Ability to articulate technical or operational problems into understandable business terms appropriate for the audience.

Communication:

• Able to design and present high-impact messages to customer's Executive level management.
• Able to use a wide variety of presentation tools to persuasively communicate complex messages to multiple audience levels, including Executive level management.
• Ability to use prepared and create complete original materials to communicate with the customer. Communicates mostly strategic information and some tactical information.
• Has excellent speaking and writing skills with proven capability to represent the company at external customer and industry events.

Drive critical digital transformation as a senior software engineer at a global commodities trading company!

My client, a global commodities, energy and utilities trading company is undergoing a major digital transformation, moving towards a data-centric architecture on microservices, in order to integrate multiple systems, services and business operations across the group. As a Senior Software Engineer, you bring strong C#.NET development skills to the table, and will help to develop key modules within the DDH platform.

Your responsibilities:

• Develop and deliver production grade software for the DDH platform in production. Ensuring high availability, functionality and that meets business requirements.
• Troubleshoot issues in a decentralized, microservices-based architecture
• Provide L1 and L2 production support, dealing with end-users directly as main POC (No app support experience required)
• Track SLAs, SLOs and SLIs for the platform (No SRE experience required)

Requirements:

• 5 or more years of experience in hands-on C#.NET development (Non-negotiable)
• Experience developing or maintaining software in decentralized / microservices-based architectures

If you meet the requirements above, and you're keen to take on a unique software engineering role that exposes you to digital transformations while learning production support and site reliability skills - apply now.

For immediate consideration, email Nikhil Senan at [email protected] with your CV.

• Experience in writing automated test cases in a programming language like Java, Python, Selenium.
• Experience in writing SQL queries to validate data.
• Degree in Computing / Computer Science / Engineering preferred.
• Experience in writing SQL queries to validate data.
• Experience in HPQC, JIRA and Agile methodology.
• Familiar with Behaviour Driven Development (BDD) including use of tools such as JBehave & Cucumber.
• Have a solid understanding of software testing concepts, methodologies, and techniques.
• Proficient in using various testing tools, frameworks, and technologies relevant to functional, performance, security, and test automation tools.
• Be able to analyse requirements, design test cases, and identify defects or issues in software applications or systems.
• Excellent communication skills and team player.

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

• Mon-Fri 8.30AM to 5.30PM
• Tuas
• $3500 - $6000

Requirements:

• Bachelor’s degree in mechanical engineering or related field
• Minimum 3-5 years of related industry experience in project sales with a strong track record
• Strong technical skills in engineering design, analysis, and testing

Job scope:

• Follow up with site walk and client enquiry for the new job or project and work together with project engineer and manager for the quotation and tender submission, ensuring purchase order is secured.
• Coordinating with engineering, construction and liaise with the client on detail engineering requirements.
• Prepare quotation, budget plan and submission to have approval from project engineer or manager.
• Prepare method of statement, lifting plan and work schedule to provide safety personnel to prepare risk assessment.
• Prepare MTO and raise MR for all materials required for the project.
• Responsible for equipment installation, structure installation, piping erection operations and pipe support installation in accordance with schedule, procedures, specifications, priorities and availability of construction drawings.
• Handling all the technical queries and investigating all the work related problems, including the drawing of field sketches when necessary.
• Review of Project specification, ISO drawings and P&ID.
• Responsible for counter checking by ISO drawings, P&ID and GA drawings for the correct location, orientation, alignment and plumpness.
• Carrying out final P&ID check of installed piping systems in the module. Preparation of “AS BUILT” drawings.
• Responsible for carrying out mechanical clearance, conducting hydro and pneumatic tests, fulfilling commissioning and Pre-Commissioning requirements for the project.
• Responsible for line checking after hydro testing or pneumatic testing to complete the post punch list prior to sign-off the test packages before signing the completion of piping / mechanical.
• Ensure that all punch list items are resolved; client handover is satisfactorily concluded and that there is no prolongation of project.
• Take prompt corrective and preventive action to remove any quality issue, any unsafe elements and unhealthy conditions at site.
• Sales Cycle Management: Conduct the full sales cycle, including lead generation, follow-up, service delivery, and transaction closure.

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Responsibilities:

• Facilitate, Drive & Lead Application Infrastructure Team Onshore / Offshore to deliver the Approved Infrastructure solution designed.
• Work with Enterprise solution architect to design solutions and align to enterprise needs and implement.
• Manage all activities end-to-end to deliver the project (from scoping to implementation) to agreed parameters.
• Ensure the deliveries are adhered to standards and processes related to infra setup, application deployment.
• To mentor team to Adhere Bank Policies and follow best practices related to Application Recommended for Infra Parameters.
• Perform the Scrum Master role (where required) and lead the Agile team in their sprint deliveries.
• Collaborate with project team members from various domains to monitor, develop and execute project plans and associated project content.
• Ability to manage multiple work-streams concurrently and effectively resolve issues or conflicts.
• Good communication skills, negotiation skills, and stakeholder management.
• Adhere to organizational guidelines and process during deliver.
• Actively monitor and report progress to all stakeholders in a timely manner by using a variety of formal communication channels.
• eal with all project-related escalations and seek input and assistance from appropriate channels to resolve in a timely manner.

Requirements:

• Minimum 6-9 years of experience and out of which, minimum 5+ years of Production Management experience in CORE Banking.
• Managed Finacle 10.x/11.x and multi-countries and OPEN systems production environment.
• Finacle Application environment servers run in combination of IBM AIX, VPC, OpenShift. We need the candidate to have good knowledge in various cloud technology to support the infrastructure for Optimization.
• Hands-on Experience in Finacle Application (Core Banking) Server Capacity Monitoring and Optimization.
• Good level of command over production Infra; performance monitoring and reporting tools.
• Good working experience in Elasticsearch, Logstash, Grafana/Kibana, AppDynamics etc.
• Ideal hands-on experience in Unix/Linux/Shell/Python scripting.
• Good Hands-on experience in PAAS (Platform as a Service) and not limited to AWS, Pivotal, OpenShift.
• Sound knowledge on CI/CD tools, flow mechanism other supporting tools with project implementation experience.
• Knowledge on API Message, Queue handling and Caching Techniques most likely on Kafka and Redis.
• Working Experience on any microservice platform mostly in Banking.
• Ideally Site Reliability Engineering principles regarding performance, reliability, monitoring, alerting in Production environment.
• Perform at the highest level of competencies like: Achieving Excellence People Management Solution Driven Relationship Innovative Purpose-Driven.
• Ability to work with stakeholders to stretch role in depth/width.
• Should be well-versed with latest Finacle and technology trends.
• Good experience in running automation and service improvements experience.
• Good experience on working with multiple teams of infra and Functional team.

• Experience in writing automated test cases in a programming language like Java, Python, Selenium.
• Proficient in using various testing tools, frameworks, and technologies relevant to functional, performance, security, and test automation tools.
• Experience in writing SQL queries to validate data.
• Degree in Computing / Computer Science / Engineering preferred.
• Experience in writing SQL queries to validate data.
• Experience in HPQC, JIRA and Agile methodology.
• Excellent communication skills and team player.
• Familiar with Behaviour Driven Development (BDD) including use of tools such as JBehave & Cucumber.
• Have a solid understanding of software testing concepts, methodologies, and techniques.
• Be able to analyse requirements, design test cases, and identify defects or issues in software applications or systems.