We are looking for a full-time Full Stack Developer with comprehensive knowledge on Node.js and React.js to join the Digital Solutions team.

The candidate must have a strong focus on front-end and back-end development and demonstrate the ability to work in an extremely fast-paced environment.

Job Description  Write and code individual programs based on specifications and follow best practices. 

Work with business team to review current systems and propose suitable solution. 

Present ideas for system improvements, including technical proposals.

Work closely with analysts, designers, staff, and collaborators.

Push the frontiers of what is possible in Artificial Intelligence to create new solutions. 

Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipeline. 

Produce detailed specifications and writing the program codes.  Test the product in controlled, real situations before going live. Requirements:

• 3+ years of experience in web application development with an in-depth understanding of data structures, algorithms and software design principles.

• Exposure to cloud methodologies and experience with AWS or Azure is a plus.

• Knowledge of AI/Machine Learning fundamentals.

• Experience in developing rich user interface using HTML5 and CSS3

• Experience working with NodeJS, Redux, Typescript, Webpack, NPM etc.

• Solid Proficiency in backend development including RESTful API, full-stack web-technologies, specifications and frameworks.

• Strong understanding of working with any databases like MSSQL/PostgreSQL/Oracle

• Experience building data models to support low latency reporting apps.

• Experience with software engineering best practices such as version control (e.g. git), CI/CD (e.g. Jenkins), testing, security and documentation

• Experience working on containerization and orchestration tools like Kubernetes and Docker. • Bonus: Familiarity with common ML Ops tooling/platforms (i.e.) MLflow, Sagemaker, etc.

• Strong written and oral communication skills.

• Excellent problem solving and critical thinking with excellent ability to evaluate and apply new technologies in a short time

Location: Punggol
Job Type: Contract (Renewable basis)

Key Responsibilities

• Manage and support day-to-day operations of hybrid infrastructure environments, ensuring reliability and service availability.
• Provision, configure, and maintain cloud platforms, infrastructure services, and technical environments using automation and Infrastructure-as-Code (IaC) practices.
• Develop and support automation scripts, CI/CD pipelines, and operational workflows to improve efficiency and service delivery.
• Monitor operational performance, manage incidents and service requests, and implement risk mitigation measures.
• Ensure compliance with GovTech standards, security requirements, governance frameworks, and audit obligations.
• Collaborate with stakeholders and end-users to resolve technical issues, gather feedback, and drive continuous service improvements.

Requirements

• Diploma or Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Min. 4 years of experience in managed services, infrastructure operations, or cloud platform support.
• Hands-on experience with BAU operations, including monitoring, maintenance, incident management, and change management.
• Experience supporting cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Familiarity with Infrastructure-as-Code (IaC), automation, and scripting tools such as Terraform, Ansible, or Python.
• Knowledge of DevOps practices, CI/CD pipelines, and operational excellence methodologies.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Experience with SG Tech Stack products (e.g. StackOps, SHIP-HATS) or government projects will be an advantage.

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.

Elaine Wong (Zoe) l Outsourcing Team

ScienTec Consulting Pte Ltd - 11C5781

Our client is a one of the leading players in the Industrial Manufacturing industry. Due to business needs, they are now recruiting a Application Engineer to be part of their Sales team to support their business needs. They are located in the East - easily accessible.

Job Responsibilities of Application Engineer:

• Evaluate technical requirements of sales opportunities and recommend suitable product solutions
• Advise customers on product selection for standard and specialized applications
• Review customer specifications to assess feasibility and solution fit
• Prepare and support technical proposals for standard, modified, or custom solutions
• Provide product training and technical presentations to customers
• Offer on-site support including product selection, installation guidance, and troubleshooting
• Handle and resolve technical complaints effectively
• Support marketing activities such as trade shows, promotions, and technical content development
• Gather customer feedback to support product improvements and new product development
• Assist in product launches and product line optimization initiatives
• Build and maintain strong relationships with internal and external stakeholders
• Coordinate projects and ensure clear communication across teams
• Apply structured problem-solving and process management tools

Requirement

• Degree in engineering field
• 5-10 years of application engineer experience in industrial manufacturing sector
• Comfortable with overseas travelling

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R2198636 (Oh Puey Xin)

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About The Team

The Citizen Developers Infrastructure team sits within the Infrastructure & Productivity organization and is responsible for the internal platform that powers critical business processes at Airwallex.

We build and operate a citizen‑developer platform that lets non‑product engineering groups safely build and run workflows and automations. Our goal is to make it easy and safe for these “citizen developers” to ship value quickly while embedding security, compliance, and software engineering best practices by default.

This role is based in Singapore.

What You’ll Do

As a Senior/Staff Software Engineer on the Citizen Developers Infrastructure team, you will design, build, and operate the platform services that underpin Airwallex’s citizen‑developer ecosystem and internal workflow automation.

You will partner closely with application teams and citizen developers to define tooling, patterns, and development processes, while continuously improving the platform abstractions and paved paths they build on. You’ll be responsible both for the developer experience and guardrails of the platform, and for the underlying workflow infrastructure that makes it reliable and scalable.

Responsibilities

• Design, build, and evolve the citizen‑developer platform and tools that make it easy to create and operate automation / applications without deep infrastructure knowledge.

• Establish secure SDLC and guardrails for citizen‑developer‑built applications so compliance and security are baked in by default.

• Build self‑serve development and operations tooling that reduce dependence on central platform engineers.

• Design, build, and maintain the Temporal‑based workflow infrastructure, addressing challenges such as multi‑tenancy, high availability, and cost effectiveness.

• Contribute to the Kubernetes and GitOps foundation (ArgoCD, Helm, Terraform) that powers the platform, ensuring deployments are safe, repeatable, and auditable.

• Participate in code reviews, technical design discussions, and on‑call rotation for workflow‑related services, leading incident response and driving long‑term fixes where needed.

• Document standards, best practices, and reference architectures so teams building on top of the platform have clear, self‑serve guidance.

Who You Are

You are a backend/platform engineer who enjoys building shared platforms, cares deeply about developer experience, correctness, and operability, and is comfortable working at the intersection of application code and infrastructure.

You get energy from enabling other teams to move faster safely, through well‑designed abstractions, tooling, and guardrails.

Qualifications

• 6+ years of experience in Software / Platform Engineering roles, building and operating backend or platform services in production.

• Strong hands‑on experience with at least one strongly typed backend language (e.g., Golang, Java) and familiarity with Python or Bash for tooling/automation.

• Experience designing and building internal platforms or developer tooling used by multiple teams, with a strong focus on developer experience.

• Experience with Kubernetes and GitOps practices/tooling (ideally ArgoCD and Terraform).

• Experience building platforms or tooling for non‑product engineering users (e.g., operations, finance, analysts) or low‑code/no‑code / citizen‑developer environments is a strong plus.

• Proven experience with Temporal or similar workflow/orchestration systems (e.g., Cadence, Step Functions, Airflow) or large‑scale stateful workloads (e.g., Redis clusters, Cassandra, HBase) in production is a huge plus.

• Comfortable working in highly collaborative, multi‑team environments, able to translate platform constraints into clear APIs, contracts, and paved paths for application teams and citizen developers.

• Practical, proactive problem solver who can navigate ambiguity, break down complex technical problems, and drive them to closure.

Responsibilities:

• Design and review mechanical layouts for warehouse automation systems using AutoCAD
• Integrate AGV, AMR, and shuttle systems within warehouse infrastructure
• Diagnose and resolve mechanical issues in automation equipment (e.g., AGVs, conveyors, AMRs)
• Support on-site installation, commissioning, and system testing
• Collaborate with vendors and cross-functional teams to ensure timely project delivery
• Supervise small teams or subcontractors and provide technical guidance
• Travel as required for site inspections, installations, and troubleshooting

Qualifications:

• Diploma or Degree in Mechatronics, Mechanical, Electrical, or related field.
• Basic understanding of mechanical systems, electrical wiring, sensors, and actuators.
• Exposure to PLC or automation systems is an added advantage.
• Strong practical knowledge in automation and control systems, electrical schematics, system integration, and mechanical troubleshooting.
• Demonstrated experience in project leadership or small team management.
• Strong analytical thinking and decision-making abilities.
• Open to travel and site-based work when required.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Library/Roaming/Resource

Scope and Skillset

• End-to-End Ticket Lifecycle and monitoring relevant metrics
• Incident Management Workflow, including appropriate escalation
• First Call Resolution and Remote assistance
• Users’ IT accounts and access management (e.g. AD and Email account)
• Password Resets and Account unlock
• Process Change & Service requests

Skillsets

• Good communication skills
• Knowledge on ITSM processes
• Any other ad-hoc duties assigned

Working hours: 12 hours + Rotational shifts

• Data Analysis skill to perform in-depth analysis on the testing data collected from the field to summarize the findings of the collected data
• To work closely with the engineering team to understand how the operations of various electrical equipment and systems
• Willingness to learn how to use various condition monitoring software, sensors and testing instruments.
• Participate in In-house training sessions or workshops to enhance the skills in Data Analysis
• Able to understand High Voltage Electrical Network
• Microsoft Office in expert mode to prepare test report and presentation material.
• Able to complete tasks assigned by team with minimum supervision
• Other ad-hoc duties

Role Overview

The Power Platform Engineer will be responsible for designing, developing, and deploying low-code solutions using Microsoft Power Platform to drive process transformation, automation, and operational efficiency within corporate banking operations (e.g., payments, trade finance, lending, KYC/AML, reconciliations).

The role will leverage AI-powered capabilities (Copilot for Power Platform) to accelerate solution delivery, improve user productivity, and enable intelligent automation.

Key Responsibilities

1. Process Transformation &Automation

• Participate in workshops to identify automation opportunities in corporate banking processes
• Design and implement solutions using:
• Power Apps (Canvas & Model-driven)
• Power Automate (Cloud & Desktop flows)
• Power Virtual Agents / Copilot Studio
• Optimize workflows for:
• Straight-through processing (STP)
• Reduced manual interventions
• Improved turnaround times and SLA adherence

2. Solution Design & Development

• Develop scalable enterprise-grade applications aligned with banking architecture
• Integrate Power Platform solutions with:
• Core banking systems
• Payment systems (SWIFT, RTGS, ISO 20022)
• CRM (Dynamics 365)
• Data platforms (Azure, SQL, Dataverse)
• Design reusable components, connectors, and APIs

3. AI & Copilot Enablement

• Leverage Copilot in Power Apps and Power Automate for rapid app and flow development
• Build AI-assisted workflows, including:
• Document processing (invoices, trade documents)
• Intelligent approvals
• Natural language-driven automation
• Implement Copilot Studio (Power Virtual Agents) for conversational banking use cases:
• Operations query handling
• Customer service automation
• Ensure governance and responsible AI practices in all Copilot-enabled solutions

4. Data & Reporting

• Design data models using Dataverse
• Develop dashboards using Power BI for:
• Operational KPIs
• Exception tracking
• Process performance metrics
• Ensure data quality, consistency, and secure access

5. Governance, Security & Compliance

• Implement Power Platform CoE best practices
• Ensure solutions comply with:
• Banking regulations (KYC, AML, audit requirements)
• Data privacy standards
• Manage environments, DLP policies, and access controls
• Support audit, risk, and compliance reporting

6. Stakeholder Engagement

• Work closely with:
• Business operations teams (Payments, Trade Finance, Lending)
• Risk & Compliance teams
• IT and Architecture teams
• Conduct workshops, process discovery sessions, and user training
• Translate business requirements into technical solutions

Required Skills & Experience

Core Technical Skills

• Strong experience in:
• Power Apps (Canvas & Model-driven apps)
• Power Automate (RPA + Cloud flows)
• Dataverse
• Experience in API integrations, REST services
• Familiarity with Azure (Functions, Logic Apps, Service Bus)
• Working knowledge of Power BI

AI / Copilot Skills (Preferred)

• Hands-on experience with:
• Copilot in Power Apps / Power Automate
• Copilot Studio / Power Virtual Agents
• Ability to design prompt-driven workflows and AI-assisted automation
• Understanding of AI governance and responsible AI practices

Domain Experience

• Experience in Corporate Banking Operations, including:
• Payments processing
• Trade finance lifecycle
• Loan origination/servicing
• KYC / AML processes
• Reconciliation and exception handling

Soft Skills

• Strong analytical and problem-solving skills
• Ability to work with cross-functional teams
• Excellent communication and stakeholder management
• Ability to drive workshops and transformation initiatives

Preferred Qualifications

• Microsoft Certifications:
• PL-100 / PL-200 / PL-400 (Power Platform)
• AI Builder / Copilot-related certifications
• Experience in large-scale process transformation programs
• Exposure to banking regulatory frameworks

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties