Key Responsibilities

Technical & Service Scope

• Serve as the technical specialist for engine-related servicing, troubleshooting, and maintenance activities
• Provide support across additional marine equipment such as deck machinery and lifting systems
• Act as the main point of expertise for technical matters related to propulsion systems
• Assist in both pre-sales and after-sales support for customers on technical requirements
• Carry out commissioning, inspection, repair, overhaul, and upgrade works for onboard systems and equipment
• Handle component replacements and refurbishment activities where required
• Ensure familiarity with shipyard practices and port-related procedures

Diagnostics & Engineering Work

• Apply knowledge of electrical, hydraulic, and mechanical systems to diagnose faults and optimize equipment performance
• Perform testing, calibration, and adjustments on operational machinery

Reporting & Administration

• Prepare detailed service reports for all completed assignments
• Ensure timely submission of claims, including overtime and travel-related allowances
• Provide feedback from site activities to internal stakeholders for continuous improvement

Training & Compliance

• Participate in ongoing training to maintain and enhance technical competencies
• Ensure all required certifications are valid and up to date for operational duties

Requirements

• Diploma or Degree in Electrical, Electronics, Mechatronics, or a related discipline
• Experience with PLC and HMI systems (e.g., Siemens, Mitsubishi, ABB, Schneider or equivalent)
• Prior exposure to marine or offshore environments is advantageous
• Strong analytical and troubleshooting skills
• Effective communication abilities
• Willingness to travel and work in offshore or site-based environments when required

Company Overview / Employee Value Proposition

Electrical construction contractor, mechanical & electrical installation and services, electrical engineering projects

Job Summary

You will coordinate and support electrical engineering projects, driving seamless site operations and technical execution. Leverage your expertise in Low Voltage (LV) systems to ensure quality installation and compliance, while collaborating with cross-functional teams to deliver successful project outcomes.

Responsibilities

• Coordinate daily site activities, resources, and information flow to facilitate smooth project execution
• Provide technical and administrative support to the Project Manager throughout all project phases
• Evaluate project requirements and contribute to planning and budgeting to align resources and timelines
• Ensure site activities are coordinated effectively with procurement, design, and quality assurance departments
• Conduct regular site inspections to monitor work progress, quality, and compliance with drawings and specifications
• Update progress reports to maintain a clear, real-time view of project status for stakeholders
• Identify and resolve day-to-day site issues related to workflow, sequencing, or technical details to minimize delays
• Maintain professional communication with subcontractors, suppliers, and client representatives to ensure alignment
• Organize and document project meetings, assigning and following up on action items to drive accountability
• Address routine technical and coordination queries, escalating complex issues to appropriate parties
• Maintain accurate and organized project documentation including daily reports, inspection records, and drawing revisions
• Support quality and safety protocols by ensuring all work complies with established standards and procedures
• Oversee installation, testing, and integration activities related to Low Voltage (LV) systems to ensure functionality and compliance
• Review LV system designs for constructability and provide practical input during project planning
• Collaborate with specialists and subcontractors to ensure correct installation and operation of LV systems

Required competencies and certifications

• Diploma or Bachelor’s degree in Electrical Engineering or a related technical field
• Minimum 3 years of hands-on experience in project engineering, site coordination, or similar roles within construction or engineering industries
• Demonstrated familiarity and practical site experience with Low Voltage (LV) systems
• Solid understanding of construction sequences, methods, and documentation related to CP / SS
• Proficiency in MS Office software for reporting and documentation
• Strong organizational skills to manage multiple tasks and priorities effectively
• Effective verbal and written communication skills to engage diverse project stakeholders

Preferred competencies and qualifications

• Proactive attitude and ability to anticipate and resolve project challenges efficiently

Work Location : Walking distance from Ubi MRT

Work Hours : Monday - Friday 0800 am - 1700 pm

Salary : Basic Up to $4500 + Transport Allowance $1000 + $100 Mobile + Commission + Variable Bonus

Responsibilities

• Drive business growth by identifying, pursuing, and securing new opportunities in target industries
• Develop, execute, and review sales and marketing plans to achieve company goals
• Work closely with design engineers and customers during technical clarification and product specification stages
• Maintain strong client relationships and provide professional presentations to stakeholders and decision-makers
• Monitor industry trends, competitors, and market dynamics to capture emerging opportunities

Requirements

• Diploma in Electrical / Electronics Engineering, or related discipline
• At least 1 years of sales experience in industrial customers
• Must possess a valid Class 3 driving license

Email resume to chiewjie@recruitlync.com or WhatsApp +65 87848422 (No calling, thanks!) Good Luck! Only shortlisted candidates would be notified. Recruit Lync Pte Ltd 22C1000 Lim Chiew Jie R25157870

Work Location: Home to Site (Various Location depends on project)
Working Hours: 5.5 days per week (8am - 5pm & 8am - 12pm)
Salary: Up to SGD 5,000(Basic) + Variable Bonus (VB)

Responsibilities

• Oversee and monitor daily site operations, ensuring works are carried out according to drawings, specifications, and regulatory requirements
• Coordinate with subcontractors, suppliers, and consultants to ensure smooth progress of works
• Prepare and update site progress reports, inspection records, and related documentation
• Ensure compliance with workplace safety and health standards at all times
• Assist in resolving site challenges, variations, and technical queries

Requirements

• Degree in Civil/Structural Engineering recognized PEB or BCA, Singapore
• Minimum 1 year of relevant industrial or commercial project experience
• Strong knowledge of construction processes, codes, and safety regulations

To apply, please click on “Apply Now”

Email resume to chiewjie@recruitlync.com or WhatsApp +65 87848422 (No calling, thanks!)
Good Luck! Only shortlisted candidates would be notified.
Recruit Lync Pte Ltd 22C1000
Lim Chiew Jie R25157870

Responsibilities

• To assist in developing API and adapter for our product to interface with RoMi-H: https://www.cgh.com.sg/chart/projects/mhi
• Lead and contribute to software engineering tasks, including embedded development (in C), basic full stack web development, and tools that support customer-facing operations and internal processes, including supporting key customer engagements in Singapore by translating field feedback into actionable technical solutions
• Develop and optimize intelligent driving algorithms, including localization, mapping, environment perception, path planning, and vehicle control.
• Collaborate closely with global R&D teams (Singapore, China, US, Europe) across the full product development lifecycle, from early-stage design to deployment.
• Perform algorithm tuning, hardware adaptation, and system integration as required by project needs.
• Maintain and debug autonomous driving vehicles, ensuring smooth operation and resolving any testing issues.
• Support vehicle demos at client events, trade shows, and marketing activities, and gather customer feedback to enhance vehicle functionality.
• Contribute to documentation for regulatory compliance and systems integration.
• Assist in continuous process improvement across R&D and manufacturing environments.
• Take on other related tasks as part of a fast-moving, collaborative product team.

Qualifications:

• Pursuing Bachelor's degree or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related discipline (Master’s preferred).
• Strong programming skills with proficiency in C++/Python.
• Solid mathematical skills, familiar with geometry, optimization algorithms, and robotics theory.
• Good coding practices, strong documentation skills, and effective teamwork and communication abilities.
• Experience or research in one or more of the following areas:

○ Lidar-based localization and mapping.

○ Trajectory planning and model predictive control.

○ Filtering and optimization algorithms.

○ Multi-sensor calibration and fusion.

• Excellent cross-functional communication skills.
• Bilingual proficiency in English and Mandarin to communicate with colleagues in Singapore, China, US
• Self-motivated, curious, and eager to grow technically and professionally.
• Experience or interest in robotics, embedded systems, or smart manufacturing is a strong plus.

Preferred Qualifications

● Familiarity with robotic systems and their various components.

● Experience in the development of robotic systems, with a preference for candidates who have successfully deployed products.

● Excellent coding abilities with a focus on maintainability and readability; experience in long-term software engineering is a plus.

● Experience with robotics competitions is a plus.

Skills to be learnt

● Linux

● Robot Operating System (ROS)

● Hands on Robotics Experience

● Simultaneous Localization and Mapping (SLAM)

● Python

● C++

An established precision engineering organization supporting the semiconductor manufacturing industry is looking for a Mechanical Design Engineer to join its engineering team. This role focuses on the design and development of high‑precision components, tooling, and mechanical systems used in back‑end semiconductor processes.

You will be involved in end‑to‑end design activities—from concept and development through prototyping, testing, and production support—working closely with cross‑functional teams in a fast‑paced technical environment.

Key Responsibilities

• Design and develop precision mechanical components, parts, and tooling for semiconductor applications
• Create and review detailed 2D/3D CAD models, engineering drawings, specifications, and BOMs
• Support projects from concept development through production and sustainment
• Collaborate closely with manufacturing, quality, and procurement teams to ensure design for manufacturability and assembly (DFM/DFA)
• Support prototyping, testing, validation, and design improvement activities
• Participate in design reviews, technical discussions, and project planning
• Provide engineering support for production issues and existing products
• Maintain accurate technical documentation, test reports, and design records
• Contribute to continuous improvement, innovation, and engineering best practices
• Mentor or provide technical guidance to junior engineers where required

Key Requirements

• Bachelor’s Degree in Mechanical Engineering or a related discipline
• Minimum 3 - 5 years of relevant experience in mechanical design within semiconductor, precision engineering, or high‑tech manufacturing environments
• Hands‑on experience designing precision parts, tooling, molds, or fixtures
• Strong understanding of mechanical design principles and engineering fundamentals
• Knowledge of semiconductor manufacturing processes (front‑end or back‑end is advantageous)
• Familiarity with advanced materials, coatings, and consumables used in semiconductor applications
• Experience working in cross‑functional engineering and manufacturing teams
• Proficient in CAD software (SolidWorks, AutoCAD, or equivalent)
• Strong capability in producing detailed engineering drawings and specifications
• Experience with prototyping, testing, and validation
• Solid understanding of DFM/DFA principles
• Ability to analyze test data and implement design enhancements
• Advanced CAD training or certification
• Exposure to project coordination or engineering process frameworks

What you need to do now

If you're keen on pursuing this exciting opportunity, please send a copy of your CV to shania.herman@hays.com.sg for confidential discussion.

EA Reg Number: R23117025

EA Licence Number: 07C3924

Company Registration No. 200609504D

Job Description:

• You will play a pivotal part in designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines to support our mission-critical applications.
• The ideal candidate brings a strong background in AWS cloud services, automation tools, and Linux system administration, with a focus on reliability, security, and efficiency.
• Design, deploy, and manage cloud infrastructure on AWS, including container orchestration with Amazon EKS, serverless computing via Lambda, object storage with S3, and identity/access management using IAM.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation to ensure reproducible and scalable environments.
• Develop and maintain CI/CD pipelines using DevOps tools such as GitLab or Azure DevOps to streamline code deployment, testing, and release processes.
• Collaborate with development and operations teams to troubleshoot issues, optimize performance, and implement security best practices across cloud environments.
• Monitor system health, perform capacity planning, and implement disaster recovery strategies to maintain high availability and compliance.
• Contribute to cost optimization initiatives by analyzing resource usage and recommending efficient AWS configurations.
• Document processes, configurations, and architectural decisions to support knowledge sharing and team onboarding.

Requirements:

Experience:

• At least 3 years of hands-on experience in AWS cloud environments, with demonstrated expertise in core services including EKS (for Kubernetes orchestration), Lambda (serverless functions), S3 (storage solutions), and IAM (security and permissions management).

Certifications:

• AWS Certified Solutions Architect - Associate or AWS Certified SysOps Administrator - Associate.
• Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE).

Technical Skills:

• Proficiency in DevOps tools, including GitLab or Azure DevOps for version control, CI/CD, and collaboration.
• Strong experience with IaC tools such as Terraform or AWS CloudFormation.
• Solid understanding of Linux/Unix systems, scripting (e.g., Bash, Python), and container technologies (e.g., Docker, Kubernetes).

Soft Skills:

• Excellent problem-solving abilities, strong communication skills, and the ability twork collaboratively in cross-functional teams.
• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Preferred Qualifications:

• Experience with additional AWS services (e.g., EC2, VPC, RDS).
• Familiarity with monitoring tools (e.g., CloudWatch, Prometheus) and security practices (e.g., CIS benchmarks).
• Automation scripts (e.g Powershell).

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Job Summary:

The Senior Engineer Safety & IMS ensure GlobalFoundries integrated safety management system compliance is maintained and strengthened; audit gaps are trended for insights and closed. Translate legal requirements into practical understanding and support stakeholders to meet Integrated Management System compliance and improvement.

Key Responsibilities.

• Prepare and coordinate relevant safety audits including performance of Global EHS Standards Assessment Program.
• Lead and manage audits for regulatory safety compliance, ISO certification, internal/external audits, global insurance audits and customer safety related audits.
• Ensure audit findings are managed, owned by responsible parties, and tracked to closure in a sustainable manners.
• Ensure IMS GlobalFoundries Singapore Product Lifecycle Management (safety standards, procedures, programs), SS651, ISO 14001, 45001 are developed and integrated.
• Support the Management Representative (MR) in preparing and facilitating annual Management Review, follow up annual Management Review recommendations and track area of improvement to closure.
• Work with stakeholders to review legal requirements, changes, and updates related to Health, Safety, Environmental & ISO Standards.
• Support relevant stakeholders to interpret EHS legal requirements to ensure compliance are met.
• Participate and contribute to the success of global EHS Centre of Excellence program implementation.
• Own and deliver assigned safety programs to ensure GlobalFoundries Singapore right to operate.
• Provide analysis of the findings, trends and gain insights to drive improvement via safety campaigns.
• Support stakeholders to resolve challenges with potential safety consequences.
• Work on safety projects and assignments as needed.

Other Responsibilities

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications:

• Around 8 years of safety and integrated management system work experience.
• Recognized bachelor's degree in safety or chemical, master’s degree in safety or chemical highly desired.
• Experience in developing, implementing, and maintaining safety and health programs.
• Good verbal and written communication skills.
• Demonstrated ability to work well within a global matrix team and environment.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations. 

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

Lead Software Engineer – Full Stack, AI & Cloud Systems

2. Role Purpose

We are seeking an experienced Lead Software Engineer – Full Stack, AI & Cloud Systems to join our Singapore-based R&D team. This is a senior hands-on engineering role that combines deep technical execution with architectural leadership.

The successful candidate will drive the design, development, and delivery of intelligent, scalable enterprise software products. This includes AI-powered query systems, cloud-native data pipelines, blockchain-integrated compliance modules, and modern full-stack user interfaces. The role requires proven expertise across AI/ML engineering, cloud platforms (Azure and AWS), distributed ledger technologies(Blockchain/Hyperledger), and contemporary AI-assisted development practices.

Prior professional experience working in Singapore or within the Singapore technology ecosystem is required, given the regulatory, enterprise, and client context in which the role operates.

3. Key Responsibilities

3.1 Architecture & Technical Leadership

•     Own end-to-end system architecture for distributed, cloud-native enterprise products: from infrastructure design through to API contracts, data models, and user-facing application layers.

•     Lead architectural decisions on service decomposition, event-driven system design, multi-tenant data isolation, fault tolerance, and horizontal scalability.

•     Evaluate and select appropriate technology choices across AI, cloud, blockchain, and data stack components, balancing performance, cost, security, and maintainability.

•     Drive technical design documentation, architectural decision records, and engineering standards across the team.

•     Mentor and upskill engineers on the team; establish high standards for code quality, testing practices, and system design patterns.

3.2 AI Systems & Intelligent Application Engineering

•     Design and build AI-powered features and pipelines, including Retrieval-Augmented Generation (RAG) systems, large language model (LLM) integrations, vector search, and semantic query processing.

•     Implement AI-driven natural language interfaces that allow enterprise users to query complex data sets without requiring specialist query languages.

•     Apply advanced prompt engineering techniques to optimise LLM output quality, reduce hallucination, and ensure response accuracy for domain-specific enterprise use cases.

•     Leverage AI-based ‘Vibe Coding ’practices – using AI-assisted code generation, intelligent autocomplete, and automated test creation – to accelerate engineering velocity and improve code quality across the team.

•     Integrate Azure OpenAI, Azure AISearch, Azure Document AI, and equivalent AWS AI/ML services into production applications, managing token budgets, rate limits, and context window constraints.

•     Continuously evaluate emerging AI development tools and practices; champion their adoption where they deliver measurable productivity or quality gains.

3.3 Cloud & Data Platform Engineering

•     Design and implement cloud-native data pipelines on Microsoft Azure and/or AWS, covering event-driven ingestion,transformation, storage, and serving layers.

•     Build and maintain large-scale data processing workflows using Apache Spark/PySpark, Azure Databricks, and Delta Lake, handling enterprise-volume datasets in batch and incremental modes.

•     Configure and optimise cloud-based analytical SQL layers (Azure Synapse Analytics, AWS Redshift, or equivalent)with appropriate security controls including Row-Level Security and data classification.

•     Implement Infrastructure-as-Code deployments (Bicep, Terraform, or CDK) and CI/CD pipelines (GitHub Actions,Azure DevOps) for consistent, repeatable cloud provisioning.

•     Apply cloud security best practices: managed identity, secret management (Azure Key Vault / AWS Secrets Manager), VNet private endpoints, AES-256 encryption at rest, and TLS intransit.

•     Design and enforce data retention, immutability (WORM), and audit logging policies in compliance with relevant Singapore and international regulatory standards.

3.4 Blockchain & Distributed Ledger Engineering

•     Design and implementblockchain-based components for enterprise use cases, including immutable audit trails, decentralised data verification, provenance tracking, and smartcontract-driven workflow automation.

•     Build and deploy permissioned blockchain networks using Hyperledger Fabric, including channel configuration,c haincode (smart contract) development in Go or Node.js, and MSP/identity management.

•     Integrate Hyperledger Fabric networks with enterprise cloud infrastructure (Azure / AWS), ensuring secure peer-to-peer communication, off-chain data linkage, and event-driven triggers from on-chain state changes.

•     Design smart contract logic for compliance, document certification, and data lineage scenarios relevant to regulated financial and enterprise environments.

•     Evaluate and recommend appropriate distributed ledger technology choices for specific use cases: Hyperledger Fabric vs Besu vs public chain integrations, based on throughput, privacy, and regulatory requirements.

•     Stay current with Singapore’s MAS regulatory guidance on digital assets and distributed ledger applications(e.g., MAS FinTech Regulatory Sandbox, Project Guardian) to ensure architecturally sound and compliant implementations.

3.5 Enterprise SAP Systems Integration

•     Design and implement integration architectures that connect enterprise SAP ECC and S/4HANA environments with cloud-native platforms, data pipelines, and AI systems, without introducing dependency on live SAP transactional connectivity in downstream components.

•     Build and configure SAP integration connectors using industry-standard approaches including SAPArchiveLink, SAP Content Server interfaces, RFC/BAPI calls, IDoc processing and SAP BTP (Business Technology Platform) integration flows where applicable.

•     Extract, transform, and load structured data from SAP systems – including SAP FICO, MM, SD, and CO modules –into cloud storage and analytical layers, applying appropriate schema mapping, data type conversion, and audit-grade integrity validation.

•     Understand and work with SAP-proprietary data formats and archive file structures, ensuring schema-agnostic parsing that handles varying segment structures across different SAP configurations without hardcoded field definitions.

•     Implement event-driven or scheduled pipelines that detect, ingest, and validate SAP-sourced data files ast hey arrive in cloud landing zones, triggering downstream processing automatically and routing failed files to quarantine with appropriate alerting.

•     Collaborate with SAP functional consultants (FICO, MM, SD, CO) to understand business data structures, document types, fiscal hierarchies, and master data relationships, translating these into accurate cloud data models and query schemas for AI and analytics components.

•     Apply knowledge of SAP datar etention and audit requirements, including GoBD, GDPdU, SAF-T, and equivalent APAC regulatory standards, to ensure cloud-hosted SAP data extracts meet long-term immutability, accessibility, and audit-readiness obligations.

•     Design SAP integration components for operational resilience: idempotent pipeline runs, safe re-processing of previously ingested files, and clear reconciliation mechanisms between SAP source record counts and cloud-hosted curated data.

3.6 Full-Stack Application Development

•     Build modern, production-grade web applications using React and Next.js for frontend, and Java (Spring Boot),Kotlin, Python, or Node.js for backend services.

•     Design and implement RESTful and event-driven APIs with appropriate authentication (OAuth2, JWT, Entra ID SSO),rate limiting, and observability.

•     Develop workflow automation and integration layers connecting enterprise systems, cloud services, and AI components.

•     Implement responsive, accessible user interfaces optimised for enterprise power users, including data tables, dashboards, and AI-assisted query interfaces.

•     Ensure all application code meets security standards: parameterised queries, input validation, dependency scanning, and OWASP-aligned controls.

3.7 Data & Performance Engineering

•     Design data-intensive processing workflows for large-scale enterprise datasets, applying columnar storage formats (Parquet, Delta), partitioning strategies, and query optimisation techniques.

•     Apply distributed computing frameworks (Apache Spark) for batch aggregation, data quality validation, and transformation at scale.

•     Profile and optimise system performance at all layers: database query plans, API response times, AI pipeline latency, and frontend rendering.

•     Design and implement observability stacks: structured logging, distributed tracing, metrics collection, and alerting using Azure Monitor, Application Insights, or equivalent AWS tooling.

3.8 Stakeholder Collaboration& Delivery

•     Work closely with product owners,business analysts, and domain experts to translate ambiguous enterprise requirements into structured, well-scoped technical solutions.

•     Coordinate with geographically distributed teams across Singapore, Australia, and South-East Asia, managing cross-timezone technical dependencies.

•     Contribute to pre-sales technical engagements, architecture workshops, and client-facing solution demonstrations where required.

•     Participate in agile delivery ceremonies; produce clear estimates, flag risks early, and maintain momentum toward sprint and milestone goals.

4. Qualifications &Experience

4.1 Education

•     Bachelor’s degree (or higher) in Computer Science, Software Engineering, Information Technology, or a closely related discipline.

•     Industry-recognised AI or cloudcertification is strongly preferred, for example: Microsoft Azure AI EngineerAssociate, Azure Solutions Architect Expert, AWS Solutions ArchitectProfessional, or equivalent.

4.2 Technical Experience

•     Minimum 7 years of professionalsoftware engineering experience, with at least 3 years in a senior or leadengineer / architect role.

•     Demonstrated experience designingand delivering production AI/ML systems, including RAG pipelines, LLMintegrations, and vector search platforms.

•     Solid foundation in AI-assisteddevelopment (‘Vibe Coding’): hands-on experience using AI code generation tools(e.g., GitHub Copilot, Cursor, or equivalent), prompt engineering for codetasks, and AI-automated test creation in a professional software engineeringcontext.

•     Hands-on blockchain engineeringexperience with Hyperledger Fabric: chaincode development, channel and MSPconfiguration, and production network deployment. Experience with otherHyperledger projects (Besu, Indy, Aries) is an advantage.

•     Proven experience with MicrosoftAzure cloud services: Azure Blob Storage, Azure Data Factory, Azure Databricks,Azure Synapse Analytics, Azure OpenAI, Azure AI Search, Azure Event Grid, AzureKey Vault, and Microsoft Entra ID.

•     Experience with AWS cloudservices: EC2, S3, Lambda, and associated managed data and AI/ML services.

•     Strong full-stack developmentskills: backend (Java, Kotlin, Python, Node.js, Spring Boot), frontend (React,Next.js), and scripting/automation (Python, PowerShell, Bash, Scala).

•     Experience with enterprise dataplatforms: Apache Spark/PySpark, Delta Lake, Parquet, columnar storage, and SQLanalytical databases (Synapse, Redshift, Oracle, Postgres).

•     Solid understanding of securityengineering: OAuth2, JWT, SSO, RBAC, Row-Level Security, VNet privateendpoints, and secrets management.

•     Experience with Docker, containerorchestration (Kubernetes preferred), CI/CD pipelines, andInfrastructure-as-Code (Bicep or Terraform).

•     Familiarity with distributed datastores: MongoDB, Redis, MySQL; and distributed messaging/event streamingsystems.

•     Demonstrated experienceintegrating with SAP enterprise systems: working knowledge of SAP dataextraction mechanisms, SAP ArchiveLink or equivalent content archivinginterfaces, and SAP-proprietary flat file formats produced by SAP ECC archivingand data retention tools.

4.3 Singapore Experience(Required)

•     Prior professional work experiencein Singapore is required. Candidates must demonstrate familiarity withSingapore’s enterprise technology landscape, regulatory environment, andbusiness culture.

•     Understanding of relevantSingapore regulatory frameworks applicable to enterprise software, financialdata, and technology systems is expected. This includes awareness of MASTechnology Risk Management (TRM) guidelines, PDPA data protection obligations,and Singapore’s broader Smart Nation and digital economy initiatives.

•     Experience collaborating withSingapore-based enterprise clients, government-linked companies (GLCs), orpublic sector organisations in a technology delivery capacity is advantageous.

4.4 Domain Knowledge (Preferred)

•     Background in enterprise SaaS,fintech, compliance technology, or legacy enterprise system modernisationprojects.

•     Exposure to regulated-industrydata management requirements: financial audit trail standards, long-term dataretention obligations, or equivalent compliance-driven data governancecontexts.

•     Experience with smart contracts for compliance, provenance, or document certification use cases in an enterprise setting.

•     Working knowledge of SAP ECC orS/4HANA functional modules – particularly SAP FI (Financial Accounting), CO(Controlling), MM (Materials Management), and SD (Sales & Distribution) –with an understanding of key transactional data structures, document types, and master data entities within each module.

•     Familiarity with SAP data archiving and retention tooling, SAP ArchiveLink content repository integration, and the structure of SAP-generated audit and statutory reporting extracts.

•     Understanding of SAP integration middleware options including SAP BTP Integration Suite, SAP PI/PO, and third-party SAP ArchiveLink-certified connectors, and the ability to evaluate fit-for-purpose integration approaches for given enterprise contexts.

•     Awareness of SAP’s ECCend-of-mainstream-support timeline (2027) and the broader enterprise landscapeof SAP legacy modernisation, cloud migration, and compliance data preservationthat this creates for regional organisations.

4.5 Work Style & Soft Skills

•     Demonstrated ability to take fulltechnical ownership from design through production deployment and operationalsupport.

•     Comfortable working in fast-paced,ambiguous startup environments with evolving requirements and tight deliverytimelines.

•     Strong technical communicationskills: able to convey complex architectural decisions clearly to bothtechnical and non-technical stakeholders.

•     Effective cross-functionalcollaborator with experience coordinating geographically distributed,multi-cultural teams.

•     Proactive adopter of emergingtools and practices; applies pragmatic judgment in balancing innovation withdelivery risk.

5. Core Technology Stack

Category

Technologies

Languages

Java, Kotlin, Python, JavaScript, TypeScript, Scala

Backend & APIs

Spring Boot, Node.js, REST, Event-Driven Architecture, Microservices

Frontend

React, Next.js

AI & LLM Systems

Azure OpenAI (GPT-4), Azure AI Search (Vector), RAG Pipelines, Prompt Engineering, AI-Assisted Development (Vibe Coding)

Cloud – Azure

Blob Storage, Data Factory, Databricks, Synapse Analytics, OpenAI, AI Search, Event Grid, Key Vault, Entra ID, Monitor

Cloud – AWS

EC2, S3, Lambda, Redshift, SageMaker, Secrets Manager

Blockchain / DLT

Hyperledger Fabric (Chaincode – Go / Node.js), Hyperledger Besu, Smart Contracts, Permissioned Networks

SAP Integration

SAP ECC / S/4HANA, SAP ArchiveLink, SAP BTP Integration Suite, RFC/BAPI, IDoc, SAP FI / CO / MM / SD modules

Data & Storage

Apache Spark, PySpark, Delta Lake, Parquet, Oracle, MySQL, Postgres, MongoDB, Redis

DevOps & Infra

Docker, Kubernetes, GitHub Actions, Azure DevOps, Bicep, Terraform, CI/CD

Security

OAuth2, JWT, Entra ID SSO, RBAC, Row-Level Security, VNet Private Endpoints, Key Vault, AES-256

- Project scheduling

- Oversee and supervise project schedule and workmanship

- Prepare quotation and claim

- Attend site survey with client and prepare proposal for EV chargers installation

- Manpower planning

- Manage sub contractors

- Prepare weekly report for office meeting

- Manage material and manpower cost for all sites

* Manage the production and delivery of precast concrete components

* Study architectural and structural drawings to produce precast shop drawings in relevant drawing software

* Able to manage the factory operations efficiently to ensure a high standard of workmanship for precast

components and safe operations

* Review drawings for completeness and accuracy

* Coordinate with main contractors for execution of shop drawings

* Degree in Civil Engineering

* At least 3 years of relevant working experience in a precast plant

* Well versed in AutoCAD

* Experience in using BIM software (TEKLA / REVIT)