• 10+ years of Software Engineer experience

• Proven expertise managing OpenShift (OCP) environments in enterprise scale production deployments.

• Hands on experience with infrastructure setup and sizing, performance tuning, and capacity assessment for AI workloads.

• Experience supporting Oracle Database from an application infrastructure perspective.

• Practical knowledge of certificate management, secrets management, and key handling.

• Experience implementing CI/CD pipelines and infrastructure automation.

• Strong background in security, vulnerability management, and compliance controls.

• Proven experience designing and implementing DR infrastructure for mission critical platforms.

• Experience working with AWS cloud services and hybrid cloud integrations.

• Strong coordination and leadership skills to work across Infrastructure, Network, Security, and Application teams.

• Experience with containerization and orchestration tools (Docker, Kubernetes).

• OpenShift & Kubernetes Platform Engineering

• DR Setup and Failover strategies, testing and resilience

• Security, Automation and Observability

• Hybrid Cloud + DR architecture

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities:

• Ingest, standardize, and maintain global equity datasets from multiple third-party vendors (e.g., Bloomberg, Refinitiv, FactSet, S&P Global, Exegy, etc.).
• Structure and align data to support quantitative research, factor modeling, and portfolio construction.
• Develop systems to track and handle complex corporate actions including ticker changes, delistings, mergers, spin-offs, dual listings, ADR/local shares.
• Collaborate closely with PMs, quantitative researchers, and trading infrastructure engineers to define and fulfill data requirements.
• Understand prime brokers’ internal ticker conventions and develop robust mappings across trading venues, custodians, and OMS/EMS systems.
• Ensure data quality through rigorous validation, monitoring pipelines, and anomaly detection.
• Help maintain symbol mapping libraries across time zones, exchanges, and asset classes.

Qualifications:

• Bachelor's degree or above in Computer Science, Engineering or related field.
• Deep familiarity with global equity markets, including North America, Europe, and Asia-Pacific exchanges.
• Proficient in Python (Pandas, NumPy), SQL, and data pipeline orchestration tools (e.g., Airflow, Luigi).
• Knowledge of major data vendors and experience working with financial reference and pricing data.
• Strong understanding of market microstructure and security identifiers (e.g., ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker).
• Ability to navigate prime brokerage data and internal ticker mapping for order execution and post-trade reconciliation.
• experience in a data engineering or quantitative data operations role at a hedge fund, proprietary trading firm, or asset manager.
• Prior experience working with tick- or bar-level data, especially for intraday equity strategies.
• Familiarity with buy-side OMS/EMS systems and order flow handling.

Interested applicants please apply directly here or send your resume to hr@mscapital.sg

Role: Network Engineer

Location: BEDOK/CHANGI

Remuneration: Base Salary - $5,000

Objectives:

• Ensure continuous operation of network systems with minimal downtime.
• Provide timely support, troubleshooting, and remediation of network issues.
• Maintain secure network environments aligned with best practices.
• Enhance network performance and scalability through proactive monitoring and maintenance.

Scope of Services:

Network Monitoring & Management

• Monitor routers, switches, firewalls, wireless controllers, and access points.
• Track network availability, bandwidth utilization, and device performance.
• Configure automated alerts for outages, threshold breaches, or performance degradation.
• Apply configuration backups and maintain version control.

Incident Management& Troubleshooting

• Responding to network-related incidents and service disruptions.
• Diagnosing issues related to connectivity, routing, switching, and wireless performance.
• Restoring service within defined SLAs.
• Providing incident reports, including root cause and corrective actions.

Preventive Maintenance

• Scheduled maintenance windows for updates, patches, and firmware upgrades.
• Hardware health checks(CPU, memory, temperature, error logs).
• Optimization of configurations for performance and security.
• Review of capacity trends and recommendations for scaling.

Network SecurityServices

• Firewall policy reviews and updates.
• Intrusion detection/prevention monitoring (if applicable).
• Vulnerability identification and remediation recommendations.
• Management of VPN configurations and remote-access policies.
• Enforcement of network segmentation and access control best practices.

Network Documentation& Reporting

• Network topology diagrams.
• Asset inventory ofnetwork hardware and software.
• Configuration documentation for all managed devices.
• Monthly performance reports covering:

1. Uptime and incident summary.
2. Security events.
3. Capacity/utilization metrics.
4. Recommendations for improvements.

Change Management

• Planning, reviewing,and executing network changes and upgrades.
• Performing impact analysis and obtaining necessary approvals.
• Implementing changes according to best practices and scheduled windows.
• Documenting all changes for audit and compliance purposes.

Service LevelAgreements (SLAs):

Response Time

• Critical incident(network outage): Response within 2 hours.
• High severity (major performance degradation): Response within 4 hours.
• Medium severity: Response within 8 hours.
• Service request: Response within 2 business days for urgent request, 5-10 business days for normal request.

Availability

• Network monitoring tools: 24/7
• On-call support: 24/7 standby support
• Scheduled maintenance: Communicated with at least 72 hours’ notice

In-Scope Equipment & Systems:

• Routers
• Layer 2/3 switches
• Firewalls
• Wireless controllersand access points
• SD-WAN devices
• Network monitoring andlogging tools
• VPN and remote access systems
• Server room/closet network equipment (racks, UPS, patch panels)

Out-of-Scope Services:

• Cabling installation or physical construction services
• Non-network server or application support
• Hardware procurement(unless specified as an add-on service)
• Major network re-design projects (covered under separate SOW)

Client Responsibilities:

• Provide remote access to network systems as needed.
• Maintain up-to-date licenses and warranties for network devices.
• Notify the Service Provider of planned facility changes or expansions.
• Provide point-of-contact for approvals, scheduling, and incident communication.

Deliverables:

• Network monitoring setup and ongoing management.
• Monthly performance and security reports.
• Updated network documentation.
• Incident tickets and post-incident reviews.
• Preventive maintenance reports.
• Change management logs.

Requirements:

• Minimum Degree in Computer Science or relevant disciplines.
• Minimum 2 years’ experience in ITSupport and Troubleshooting, System Administration and Network Fundamentals.
• Possess Cisco CCNA Networking Certification.

For a confidential discussion,interested applicants please kindly send your updated resume.

Make an Impact by:

• Work with development teams and product managers to ideate software solutions.
• Drive user story grooming with product stakeholders and engineers.
• System Design, Architecture of software components, microservices and API gateway platform.
• Code review, cyber security review, application monitoring and mentoring junior developers in API first development.
• CI/CD and DevOps pipeline configuration and deployment management of components.
• Development, Scalability, Performance tuning of API and Web applications
• Ability to do quickly learn latest software technologies and framework and deliver projects.
• Develop and manage well-functioning databases and applications.
• Test software to ensure responsiveness and efficiency.
• Create security and data protection settings.
• Build features and applications with a responsive design.
• Write technical documentation.

Skills for Success:

• Bachelor’s degree in computer science or equivalent.
• Minimum 4+ years of Proven experience as a developer or similar role.
• Strong experience in one of the Object-Oriented Language like Java, Javascript.
• API based System Integration integration experience.
• Experience in designing and implementing Web technologies, ReactJS, Typescript, REST based micro services and Java.
• Familiarity with databases (MongoDB OR SQL Server), web servers (Nginx or Apache)
• Experience in containerized application development such as Docker/Kubernetes.
• Excellent communication and teamwork skills.
• Great attention to detail.
• Experience in scrum-based software development, JIRA and CI/CD.
• Nice to have: Experience in distributed application development using Apache Storm or Spark, Python coding experience.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career! 

Job Summary

We are seeking a talented and motivated Software Engineer to join our growing technology team. You will be responsible for designing, developing, and maintaining scalable software systems to support business operations and product innovation. This role requires strong technical capabilities, problem-solving skills, and the ability to work in a fast-paced environment.

Key Responsibilities

• Design, develop, test, and deploy high-quality software applications
• Collaborate with product managers, designers, and cross-functional teams to define system requirements
• Write clean, maintainable, and efficient code following best practices
• Troubleshoot, debug, and upgrade existing systems
• Participate in code reviews and contribute to continuous improvement
• Optimize application performance, scalability, and security
• Maintain technical documentation for systems and processes
• Support integration with third-party APIs and internal systems

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field
• Minimum 2–5 years of relevant software development experience
• Proficiency in one or more programming languages (e.g., Java, Python, JavaScript, C#)
• Experience with web frameworks (e.g., React, Angular, Node.js, Spring Boot)
• Familiarity with databases (SQL/NoSQL such as MySQL, PostgreSQL, MongoDB)
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus
• Knowledge of RESTful APIs and microservices architecture
• Strong problem-solving skills and attention to detail
• Good communication skills and ability to work in a team

Preferred Qualifications

• Experience in DevOps tools (Docker, Kubernetes, CI/CD pipelines)
• Familiarity with Agile/Scrum development methodologies
• Experience in AI, data analytics, or system automation
• Prior experience working in startups or fast-scaling companies

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

Responsibilities

• Lead the end-to-end design, architecture, and development of scalable, secure, and high-availability systems.
• Provide technical leadership to engineering teams: guide system decisions, review code, and uphold engineering standards.
• Mentor and coach engineers across levels, fostering growth and improving team capability.
• Collaborate with product and design teams to translate business needs into technical solutions.
• Drive adoption of modern engineering practices including cloud-native architecture, CI/CD automation, IaC, and observability.
• Identify and address technical debt, performance bottlenecks, and long-term platform risks.
• Ensure systems meet best practices for security, reliability, maintainability, and compliance.
• Lead incident response, root cause analysis, and continuous improvement initiatives.

Required Skills & Experience

• 12+ years of software engineering experience with a strong track record of delivering complex systems at scale.
• Proven experience in technical leadership, system architecture, and guiding engineering teams.
• Strong proficiency in backend or full-stack development using languages like Java, Go, or Node.js.
• Solid understanding of distributed systems, microservices, API design, and event-driven architectures.
• Hands-on experience with cloud platforms (preferably AWS), Kubernetes, Docker, and Infrastructure-as-Code tools.
• Strong knowledge of SQL/NoSQL databases, data modelling, caching, and performance tuning.
• Well-versed in CI/CD pipelines, automated testing, and production operations.
• Excellent communication skills and ability to align stakeholders on technical decisions.
• Passion for engineering excellence, clean architecture, and building solutions for impact.

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

We regret to inform you that only shortlisted candidates will be notified /contacted.

Responsibilities

• Closely collaborate with Project Manager and Engineers to support the fulfilment of contract obligations within timeline, cost and scope.

• Manage and oversee project documentations and subcontractor matters

• Perform system setup, database setup, resolve technical & design issues

• Support for IT infrastructure comprising Microsoft OS

• Basic setup of Network switches and able to perform network check and IP address configuration of all the network devices within the project

• Installation, debug and troubleshooting IT-related issues

Requirements

• Degree/ Diploma in Project Management/ Computer Science / Computer Engineering in Information Technology, Information Systems, IT Security or equivalent.

• Experience in Project Management, IT Management Systems Deployment or equivalent experience 

• Proficient in Database, Cybersecurity and Windows OS Virtualization.

• Able to perform work independently and a team player. 

• Knowledge in any of the following will be a strong plus: 

i) SQL management studio application and database table,

ii) Vulnerabilities Assessment,

iii) Software development knowledge

iv) Setup and install access control system e.g., key manage system, CCTV, card reader or gantry. 

v) Redundancy technology knowledge e.g., failover clustering, Nic teaming etc. 

vi) Network Switch Configuration

Licence no: 12C6060

Role Summary:

We are looking for a skilled Data Engineer to design, build, and maintain scalable, cloud-native data platforms. The ideal candidate has strong programming and SQL skills, hands-on experience with AWS, and a solid understanding of data modelling, ETL pipelines, and big data processing frameworks.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and data platforms.
• Build and optimize ETL/ELT workflows using PySpark, Pandas, and SQL.
• Work with large datasets using distributed processing frameworks such as Apache Spark.
• Design and implement data models to support analytics and reporting use cases.
• Develop and manage data solutions on AWS cloud platforms.
• Orchestrate data workflows using tools such as Apache Airflow.
• Collaborate with cross-functional teams to deliver reliable, secure, and high-quality data solutions.
• Implement best practices for data quality, performance, security, and governance.
• Support CI/CD pipelines and automate deployments using DevOps best practices.

Requirements:

• 3+ years of professional experience in Data Engineering or related roles.
• At least 2 years of hands-on experience with cloud-native data services.
• Strong proficiency in one programming language: Python, Java, or .NET.
• Advanced SQL skills with experience writing complex and optimized queries.
• Strong understanding of data modelling concepts (e.g., dimensional modeling).
• Experience with relational databases (PostgreSQL, MySQL).
• Experience with NoSQL databases (DynamoDB, CosmosDB) and data lakes.
• Hands-on experience with distributed data processing frameworks (Apache Spark / PySpark).
• Experience with workflow orchestration tools such as Airflow.
• Familiarity with CI/CD pipelines and Infrastructure as Code tools.
• Experience using Git, Docker, and Terraform is a plus.

Preferred Skills:

• Experience designing end-to-end data architectures in AWS.
• Strong understanding of system design, scalability, and security best practices.
• Good communication skills and ability to work in cross-functional teams.

We are seeking a Tech Refresh Engineer to support a large-scale IT refresh project within a healthcare environment. The role involves device deployment and replacement activities while ensuring minimal disruption to hospital operations.

Key Responsibilities

• Perform end-user device refresh activities including desktops, laptops, and peripherals
• Conduct data migration and basic application setup
• Install and configure operating systems, software, and standard applications
• Perform hardware replacement, asset tagging, and documentation
• Coordinate with end users to schedule refresh activities efficiently
• Troubleshoot basic post-deployment issues and escalate where necessary
• Ensure compliance with healthcare IT policies, security, and data privacy standards
• Work closely with project teams to meet deployment timelines

Requirements

• Minimum 2 years of relevant IT support or tech refresh experience
• Basic knowledge of Windows OS, hardware setup, and troubleshooting
• Experience in device deployment, imaging, or migration activities
• Good communication skills and a service-oriented mindset
• Ability to follow procedures and work independently
• Able to start work immediately or on short notice
• Working hours: 5.5 working days, 44 hours work week.

Responsibilities:

• Develop manufacturing and test procedures.
• Install, repair, and maintain equipment in the field, and provide customer training as needed.
• Train manufacturing teams on the assembly and testing of both new and existing products, and support integration between software and electrical control systems.
• Prepare clear and structured documentation for analysis, and recommend design improvements.
• Assemble, test, and troubleshoot product designs while providing feedback for enhancements.
• Evaluate product and equipment performance using field data, and suggest improvements or modifications.
• Travel internationally to assess system performance and support custom installations.
• Perform additional duties as assigned.
  

Qualifications:

• Diploma / Bachelor’s degree or higher in Electrical Engineering or a related discipline.
• Proficient in MS Office and quick to learn specialized software tools.
• Preferably over 1 year of relevant experience in electrical engineering or related roles.
• Proficiency in programming languages like C++, C#, or HDL
• Strong organizational, communication, and interpersonal skills.
• Ability to multitask and prioritize effectively.
• Self-motivated, reliable, and accountable.
• Excellent problem-solving skills with strong attention to detail.
• Able to work independently or supervise project-based tasks 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

Key Responsibilities:

• Serve as the technical subject matter expert on Harwin's connector product range.
• Support customers in design-in activities, including connector selection, compatibility assessments, and technical feasibility.
• Ability to understand a customer’s needs and probe for answers, and then determine a solution and advocate that solution to the customer
• Collaborate with sales and distribution teams to deliver customized connector solutions that meet customer requirements.
• Conduct product training, technical workshops, and on-site support across Asia-Pacific.
• Respond to customer technical enquiries and coordinate with the UK engineering team for complex issues.
• Provide feedback on market needs and technical trends to assist in product roadmap development.
• Prepare and deliver technical presentations, product demos, and documentation.
• Attend industry trade shows and customer visits to promote Harwin’s capabilities.
• Collaborate with the sales team to understand customer requirements and provide tailored recommendations
• Work closely with suppliers to gain in-depth knowledge of their product portfolios and technological advantages.
• Stay up-to-date with the latest industry trends and technologies, and share this knowledge with the team to drive continuous improvement
• Liaise with cross-functional teams to ensure seamless delivery and customer satisfaction

What We're Looking For:

• Degree in Electrical/Electronic Engineering or a related field
• Minimum 3 years of experience in a technical support or field application engineering role, preferably in the electronics or technology industry
• Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve complex technical issues
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to a non-technical audience
• Proficiency in using diagnostic tools and testing equipment
• Knowledge of relevant industry standards and regulations
• Process with own car, mobility to travel to customer sites
• Willingness to travel regional to support overseas team and customers.

The BMS Network & Infrastructure Engineer is responsible for supporting, maintaining, and troubleshooting network infrastructure for Building Management Systems (BMS) and industrial automation environments.

The role focuses on BMS network architecture, system connectivity, server integration, and communication reliability, ensuring seamless operation of building systems such as HVAC, electrical, and energy management platforms.

Key Responsibilities

1. Install, configure, and maintain network infrastructure for BMS/IBMS systems, including LAN, WAN, and structured cabling environments.

2. Configure and manage network switches, routers, and industrial network devices supporting BMS systems.

3. Monitor and troubleshoot BMS network communication issues, including connectivity between servers, controllers, and field devices.

4. Configure and support BMS communication networks using protocols such as BACnet/IP, Modbus TCP/IP, and OPC UA.

5. Implement and manage VLANs, IP addressing, and subnetting to ensure proper segmentation of BMS networks.

6. Support BMS servers, SCADA servers, and workstations, including network configuration and connectivity.

7. Provide Level 2 technical support by diagnosing and resolving network and system integration issues.

8. Perform routine maintenance including firmware updates, patching, backups, and network health checks.

9. Monitor network and system performance using BMS and IT monitoring tools, responding to alarms and alerts.

10. Maintain documentation of network architecture, IP schemes, system topology, and configurations.

11. Collaborate with project teams during system integration, testing, and commissioning of BMS systems.

12. Ensure network security and cybersecurity practices are implemented for BMS environments, including secure remote access and user access control.

JobDescription:

·       Responsible for Huawei enterprise networking products after-sales support and network solution reviewing.

·       To lead the project implementation, management, and troubleshooting of critical virtualized infrastructure in public, private and hybrid cloud environments.

·       Require to provide low level network solution/design to office/channel partner/key account customers.

·       Require to work closely with customers, engineers and regional/HQ team to address and track end-to-end project issues.

·       Require to work under minimum supervision to complete tasks assigned in fast-paced environment with tight schedule and with dynamic project teams which include scoping and creating technical documents (SoW, operational guide, infrastructure documentation, etc.).

·       To stay abreast with new technologies and product updates by regularly participating in new product education and technology training.

·       Require to provide guidance and implementation for hardware and software delivery and upgrade.

·       Require to be able to present technical solution professionally and have technical training for channel partners and customers.

·       Require to prepare implementation, rollback plan, call a review meeting and execute configuration requests, and network emergency handling.

·       To collaborate and communicate directly with Chinese speaking officers, stakeholders, counterparts, and customers in China HQ team
Job Requirements:

·       Bachelor degree in in computer science/engineering/telecommunication or related discipline.

·       Minimum 7 years of working experience for networking designing and maintenance. (Proficient in STP, VRRP, OSPF, BGP, IPSEC VPN, L2VPN, L3VPN,Multicast, IPV6, QOS, VXLAN).

·       Experience in after-sales support within the FSI industry and involvement in data center migration projects is required.

·       Hands-on experience with network infrastructure technologies, including switches, routers, Wi-Fi, firewalls, and SDN system integration.

·       HCIP, CCNP, or other equivalent or higher-level networking certifications are required.

·       Knowledge of IT servers and storage technologies would be an added advantage.

·       Self-initiative to take the responsibility of task and learn new products/technologies.

·       The candidate shall be adaptable and flexible to tasks or job scope being assigned.

·       Proficiency in Mandarin is essential to ensure effective communication with the Chinese-speaking stakeholders, including head office, business counterparts, and customers based in China.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

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PERSOL Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID: Heah Sian Wei R23117518

In this role, you will have the unique opportunity to engage in technical support and troubleshoot any hardware and software problems related to server, in-house ERP system and storage devices.

Responsibilities

• Managing and monitoring all installed IT systems and infrastructure

• Support all IT related projects such as in-house ERP system maintenance and integration.

• Implement security, back up and redundancy strategies to maintain data safety

• Write custom scripts to reduce the need for human intervention.

• Software Development Fundamentals & Process

• Analyzing information, General programming skills, Software debugging, documentation & testing.

• Liaise with vendors and other IT personnel for problem resolution.

Requirements

• Diploma in IT or Computer Science related discipline

• Capable of multi-tasking, Network skills, Server management & Desktop support skills

• Working knowledge of C#/ WPF / .NET / MSSQL

• Strong problem solving/ troubleshooting skills.

• Possess good communication and interpersonal skills with the ability to work well in a team.