Position Overview

We are seeking a strategic Operation/Production Material & Cost Engineer to lead comprehensive OSRM (Operating Supply & Raw Material) and spare parts management initiatives. This role combines financial acumen, operational excellence, and digital innovation to drive significant cost optimization while ensuring seamless production continuity. You will spearhead transformational projects that leverage AI and automation to enhance inventory efficiency, cost transparency, and decision-making across the organization.

Key Responsibilities

1. Strategic OSRM & Spare Parts Cost Management

• Own end-to-end OSRM and spare parts cost planning, monitoring, and control to achieve or exceed annual financial targets.
• Conduct comprehensive cost driver analysis and variance investigations; identify and execute high-impact cost reduction and optimization initiatives.
• Lead strategic OSRM cost improvement projects, including consumption reduction, supplier rationalization, and lifecycle cost optimization.

2. Demand, Supply & Inventory Planning

• Develop and manage integrated OSRM demand and supply plans aligned with production requirements and operational capacity.
• Oversee procurement and distribution of production cleanroom consumables and OSRM to ensure uninterrupted operational continuity.
• Manage company spare parts inventory strategically, including stock profiling, safety stock optimization, and inventory location management.
• Control inventory aging and excess materials to maximize working capital efficiency and operational agility.

3. Inventory Management Systems & Data Governance

• Ensure data integrity, accuracy, and reliability across the Spare Parts Inventory Management System (SPIMS).
• Develop and maintain comprehensive inventory monitoring dashboards, KPIs, and analytical reports tracking aging, usage patterns, and cost trends.
• Champion SPIMS long-term enhancement initiatives, including system optimization, data governance frameworks, and process automation.
• Oversee Store 5S implementation and safety compliance standards across all SPIMS operations.

4. Digital Transformation & AI-Enabled Innovation

• Drive AI-enabled and digital transformation initiatives across OSRM and SPIMS planning, inventory management, and cost control functions.
• Identify and implement advanced solutions including:
  • Predictive usage forecasting and demand sensing algorithms
  • Automated replenishment and inventory optimization systems
  • Real-time digital dashboards for OSRM cost and KPI monitoring
  • Advanced data analytics for non-moving inventory, aging material, and lifecycle cost analysis
• Collaborate with IT, Digital Transformation, and Engineering teams to design, deploy, and sustain automated workflows and AI-driven decision support tools.
• Continuously enhance planning accuracy, response time, and cost transparency through process automation and digitalization.

5. Operational Governance & Performance Management

• Conduct regular OSRM usage and KPI reviews, compile performance data, and monitor key operational metrics.
• Establish and maintain robust monitoring systems for critical OSRM used in production operations.
• Supervise technical teams and ensure effective execution of daily OSRM and SPIMS operations.
• Support production teams on used spare part scheduling, waste handling, and scrap disposal in compliance with SPIMS requirements.

6. Cross-Functional Leadership & Collaboration

• Partner strategically with Production, Warehouse, Inventory Control, and Procurement teams on OSRM initiatives including RTV management, on-hold materials, aging inventory, on-time issuance, staging area optimization, and chemical transfer scheduling.
• Collaborate closely with Process Engineering, NPI, and Procurement on new material introduction for mass production, usage algorithm verification, and implementation timelines.
• Lead non-moving parts disposition planning with Equipment teams using SPIMS data analytics.
• Support tooling and logistics improvement projects that enhance production operational efficiency.

About the Role

We are seeking a talented and driven Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support business analytics and data science initiatives. As a Data Engineer, you will work closely with data analysts, AI engineers, and other teams to ensure the efficient flow of data across the organization and enable data-driven decision-making. The role requires strong technical expertise in data systems, databases, and cloud infrastructure.

Responsibilities:

• Design, implement, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.

• Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from internal and external systems.

• Work with data analysts and other teams to ensure data is accessible and prepared for analysis and modelling.

• Manage and maintain databases, data lakes and warehouses, and other data storage systems.

• Collaborate with cross-functional teams to ensure data integrity, quality, and security.

• Implement data governance best practices to ensure data consistency and reliability across platforms.

• Optimize and troubleshoot data storage and query performance for large-scale datasets.

• Stay current with emerging data engineering technologies and methodologies to continuously improve processes and systems.

• Automate data collection and processing tasks where applicable to enhance operational efficiency.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 5 years’ experience in data engineering, architecture, or relevant software development.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, MongoDB).

• Expertise in data modelling, ETL processes, and data warehousing solutions.

• Experience with big data tools and frameworks (e.g., Hadoop, Spark, Hive, Kafka).

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with data visualization tools (e.g., Power BI, Tableau) and business intelligence concepts.

• Strong problem-solving skills and the ability to work with large and complex datasets.

• Excellent communication skills and ability to work in a collaborative environment.

• Knowledge of AI/ML techniques and integration of AI/ML into production data pipelines.

• Knowledge of banking systems and financial data.

• Knowledge of data privacy, security, and compliance regulations.

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com

Machine Learning / GenAI Engineer

Domain: Smart Manufacturing & AI Solutions

Role Overview

We are hiring ML/GenAI Engineers to design and deploy AI solutions for smart manufacturing. The role focuses on improving production efficiency, reducing downtime, and enabling Industry 4.0 capabilities using machine learning and generative AI.

Key Responsibilities

• Build ML models for predictive maintenance, anomaly detection, and process optimization 
• Develop GenAI applications (chatbots, automated reports, simulations) 
• Create data pipelines for IoT, sensor, and MES data 
• Integrate AI solutions with factory systems for real-time insights 
• Apply AI/vision techniques for quality control and defect detection 
• Monitor model performance and automate retraining (MLOps) 
• Collaborate with engineering and IT teams; present insights via dashboards 

Required Skills

• Atleast 3 years of experience in Software and IT arena
• Strong programming in Python, R, or Java 
• Experience with TensorFlow, PyTorch, or Scikit-learn 
• Knowledge of MLOps tools (MLflow, Docker, Kubernetes) 
• Understanding of manufacturing/MES systems and industrial data 
• Experience with predictive analytics and real-time data processing 
• Solid data engineering skills (SQL/NoSQL, IoT datasets, cloud platforms) 
• Good problem-solving and communication skills 

Nice to Have

• Experience in Industry 4.0 / smart factories 
• Exposure to GenAI/LLMs or computer vision 

Under administrative supervision of the Technology, this position is responsible for the deployment and maintenance of a cloud-based applications infrastructure.

Responsible for deploying, automating, maintaining, troubleshooting and improving the systems that keep the backend infrastructure running smoothly. The role requires you to have hands-on technical experience and a can-do approach towards environment automation / management and continuous improvement.

Job Duties:

• Deploying, automating, maintaining, and managing AWS cloud-based production system, to ensure the availability, performance, scalability and security of productions systems.
• Build, release, and configuration management of production systems.
• Pre-production Acceptance Testing to help assure the quality of our products / services.
• System troubleshooting and problem solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Ensuring critical system security using best in class cloud security solutions.
• Evaluate new technology options and vendor products.

Skills and Requirements:

• Bachelor’s degree in computer science or other equivalent technical discipline.
• 3+ years’ experience with using a broad range of AWS technologies (e.g., EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch, KMS) to develop and maintain an Amazon AWS based cloud solution, with an emphasis on best practice cloud security
• Experience in EKS, CICD platform Gitlab, Github, Azure DevOps.
• AWS Certified Solution Architect (Associate) is preferred.
• Conversant with infrastructure definition tools such as Cloud Formation and Terraform
• Experience as a DevOps Engineer in a 24x7 uptime Amazon AWS environment, including automation experience with configuration management tools.
• Scripting Skills: Strong scripting and automation skills.
• Operating Systems: Windows and Linux system administration.
• Monitoring Tools: Experience with system monitoring tools.
• Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues.
• Experience with other Clouds such as Azure or GCP can be considered.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

1. ETL Development

• Design, develop, and maintain end-to-end ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks.
• Write complex, high-performance T-SQL queries, stored procedures, and functions to transform raw data into actionable insights. Optimize data loads for performance and scalability within Azure SQL Database and Synapse Analytics.

2. Quality Assurance & Testing

• Develop and execute comprehensive Data Validation scripts to check for data completeness, transformation logic, and referential integrity. Conduct Source-to-Target mapping validation and performance testing on large datasets. Identify, document, and track data anomalies and bugs, working closely with the engineering team to resolve bottlenecks.

3. Infrastructure & Collaboration

• Work within an Agile environment, collaborating with Data Architects and Business Analysts to understand requirements. Manage version control and CI/CD deployments using Azure DevOps. Monitor pipeline health and set up automated alerts for failure or data drift.

Technical Requirements

SQL Mastery: Deep expertise in SQL (T-SQL/PL-SQL) for data manipulation, optimization, and complex joins.

Azure Data Stack: Hands-on experience with Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure SQL Database. (Knowledge of Databricks/PySpark is a major plus).

Testing Tooling: Experience with data testing tools (e.g., dbt, Great Expectations) or custom Python/SQL testing scripts.

Cloud Infrastructure: Understanding of Azure environment security, Managed Identities, and Key Vaults.

Education: Degree in Computer Science, Information Technology, or a related field, plus 3–5 years of relevant experience.

We are hiring HPC Engineers (junior to senior) to support and scale a high-performance computing environment (CPU & GPU) used for advanced analytics and AI/ML workloads.

You will work on Linux systems, GPU clusters, and cloud platforms, helping teams run compute-intensive workloads efficiently.

If you have experience in Linux, cloud, or containers—and are keen to work on HPC—we encourage you to apply.

• Junior Engineer (2+ years)
• Senior Engineer (5+ years)
• Lead Engineer (8+ years)

We are open to candidates with strengths in either HPC, cloud, or platform engineering.

What You’ll Be Doing

• Manage and support Linux-based compute environments and clusters
• Monitor system performance and troubleshoot issues
• Support job scheduling tools (e.g. PBS, Slurm)
• Work with containers (Docker/Kubernetes) and cloud platforms
• Support GPU workloads and AI/ML applications (training, optimisation)
• Automate infrastructure using tools like Terraform or Ansible
• Collaborate with users to improve performance and reliability

You won’t be expected to know everything—we value depth in a few areas.

What We’re Looking For (De-risked Requirements)

Must-Have (Keep This Realistic)

• Experience with Linux administration (RHEL or similar)
• Exposure to cloud platforms (AWS, Azure, or GCP) OR containers
• Basic scripting or automation experience

Good to Have (Not Mandatory)

• HPC / cluster environments or job schedulers (PBS, Slurm)
• Kubernetes / Docker / Singularity
• GPU computing (CUDA, PyTorch, TensorFlow)
• Infrastructure as Code (Terraform, CloudFormation)
• Monitoring tools (Grafana, Prometheus, etc.)

Final offer based on experience and skillset

Role Details

• Location: Singapore
• Contract: 12 months (renewable)
• Work setup: (hybrid)

Why This Role

• Work on GPU, AI/ML, and high-performance systems
• Exposure to cloud + HPC environments (rare combination)
• Opportunity to grow into specialised HPC / platform engineering roles

Apply Now

If you have experience in Linux, cloud, or platform engineering and want to work on large-scale compute environments, we’d love to hear from you.

open to candidates transitioning into HPC”

Job Description:

We are seeking a skilled Network Engineer with expertise in LAN, WAN and wireless solution. The ideal candidate will have experience in designing, deploying, and managing enterprise-level IT infrastructure with a focus on ensuring high availability, performance, and security.

Key Responsibilities:

• Manages the implementation of projects closed by the field sales team.

• Coordinates closely with internal sales, project managers and service resources by communicating project status and success metrics.

• Creates documentations and technical knowledge transfer to customers.

• Assist sales team on technical proof-of-concepts evaluation.

• Maintains knowledge of competitive products as well as complimentary solutions.

• Work collaboratively with the field sales, project management, engineering and support teams.

• Develops and maintain relationships with prospects, customers, and partners.

• Attend in-person meetings with clients to analyse, troubleshoot and diagnose hardware problems

• Respond to customer inquiries and assist in troubleshooting and resolving challenges

• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams.

• Researching, diagnosing, troubleshooting and identifying solutions to resolve system issues.

• Provide prompt and accurate feedback to customers

• To provides technical support to customers by remotely or onsite support according to SLA.

• Provides coaching and professional development to team members in order to enhance their product knowledge, technical acumen and technical sales skills.

• Lead projects from inception to completion, ensuring timely delivery and adherence to project objectives.
  

Qualifications & Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).

• Minimum of 2 years of experience in a networking deployment field.

• Familiar in multivendor environment

• Familiar in L2/L3 protocol (STP,LACP,OSFP,VRRP,VXLAN), network virtualization, network design & network optimization

• Familiar in WLAN architecture, technologies & optimization

• Hands-on experience with security solutions (firewall, email security, endpoint security)

• Hands-on experience with server technologies such as virtualization, bare metal, HCI, backup or storage platforms.

• Experience with network automation (e.g., python, ansible) is added advantage.

• Strong troubleshooting and analytical skills, with the ability to solve network issues.

• Excellent communication and documentation skills in English, Mandarin, Bahasa Melayu language, both written and verbal.

• Ability to work effectively across teams.

• Certified in CCNP/PCNSE/FCP/ACSP/HCIP/H3CSE or equivalent certification are highly desirable.

Job Description:

We are looking for a Network Security Engineer with expertise in routing and switching for wired and wireless, cybersecurity specifically SSE, firewall, email security, and endpoint security to design, implement, and maintain robust security solutions. The ideal candidate will have a strong technical background, hands-on experience with industry-leading security tools, and a proactive approach to mitigating cyber threats.

Key Responsibilities:

-Implementation of projects closed by the field sales team.

-Works closely with internal sales, project managers and service resources by communicating project status and success metrics.

-Creates documentations and technical knowledge transfer to customers.

-Assist sales team on technical proof-of-concepts evaluation.

-Maintains knowledge of competitive products.

-Develops and maintain relationships with prospects, customers, and partners.

-Respond to customer inquiries and assist in troubleshooting and resolving challenges

-Following SOP for escalation of unresolved issues to the appropriate internal teams.

-Researching, diagnosing, troubleshooting and identifying solutions to resolve issues.

-Provide prompt and accurate feedback to customers

-To provides technical support to customers by remotely or onsite support according to SLA

-Participate in internal technical sharing session

-Lead projects from inception to completion, ensuring timely delivery and adherence to project objectives.

Qualifications & Skills:

-Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).

-2+ years of experience in cybersecurity, with at least 2 years focused on firewall, email security, and endpoint security.

-Hands-on experience with switch & wireless (e.g., Aruba, Cisco, Huawei)and firewall platforms (e.g., Palo Alto, Cisco, Fortinet).

-Proven expertise in email security tools (e.g., Proofpoint, Mimecast), endpoint protection platforms (e.g., CrowdStrike, SentinelOne), SSE (Zscaler, Palo Alto)

-Strong knowledge of network protocols, TCP/IP, and VPN technologies.

-Familiarity with SIEM tools (e.g., Splunk, QRadar) and threat intelligence platforms is a plus.

-Experience with cloud security (e.g., AWS, Azure) is a plus.

-Experience with network automation (e.g., python, ansible) is a plus.

-Strong troubleshooting and analytical skills, with the ability to solve issues.

-Excellent communication and documentation skills in English, Mandarin, Bahasa Melayu language, both written and verbal.

-Ability to work effectively across teams.

-Certified in CISSP, CCSP, CEH, CompTIA Security+, or vendor-specific certifications (e.g., Palo Alto PCNSE, Fortinet NSE) are highly desirable.

Location: Singapore 

Job Type: Full-time / Contract 

About Us:  

Romulus Digital is a Singapore-Based company with operations extending to Vietnam. We bridge local talent with global opportunities, specialising in providing innovative solutions and resource augmentation to help our clients achieve their business goals. We are currently seeking a talented Application Support / Integration Engineer to join our dynamic team and contribute to our continued success. For more information, visit our website: Position Summary:  https://romulus.digital/ We are looking for a Application Support / Integration Engineer to join our team, focusing on troubleshooting complex production issues, managing system integrations, and ensuring high system reliability. This role is ideal for candidates with strong backend, SQL, and API integration experience who enjoy solving complex technical problems and working closely with cross-functional teams. 

Responsibilities: 

● Investigate and resolve complex production issues, taking full ownership from root cause analysis to resolution 

● Perform deep-dive analysis on code, system logs, database queries, and data flows 

● Design and implement robust fixes, patches, and performance improvements ROMULUS DIGITAL CORPORATE SERVICES 545 Orchard Road, 03-24 Far East Shopping Centre, Singapore 238882 

● Work with APIs (REST/SOAP), EDI (X12/EDIFACT), and SFTP integrations to ensure seamless data exchange 

● Collaborate with cross-functional teams to communicate technical solutions clearly 

● Support User Acceptance Testing (UAT) and ensure solution quality 

● Create and maintain technical documentation (SOPs, system design, API specs, workflows) 

● Monitor and improve system performance, stability, and observability Technical Requirements Must-have: 

● Strong experience with MSSQL (2016/2022) ○ Performance tuning ○ Complex queries ○ Data migration 

● Hands-on experience with system integration: ○ REST / SOAP APIs ○ EDI (X12 / EDIFACT) ○ SFTP 

● Solid knowledge of ASP.NET and SSRS Reporting 

● Strong troubleshooting skills across: ○ Application ○ Database ○ Integration layers 

● Experience with API data mapping & platform integration Nice-to-have: 

● Basic understanding of Cloud (Azure / GCP) ● Knowledge of Cybersecurity principles 

● Experience with Warehouse Management Systems (WMS) ○ Especially Körber (High Jump) ROMULUS DIGITAL CORPORATE SERVICES 545 Orchard Road, 03-24 Far East Shopping Centre, Singapore 238882 Experience Requirements 

● Minimum 4+ years of total experience in software development, application support, or system integration roles ● At least 2–3 years of hands-on experience working with: ○ MSSQL (performance tuning, complex queries) ○ API / system integration (REST, SOAP, SFTP, EDI) 

● Proven experience in production support, incident handling, and root cause analysis 

● Experience working with enterprise or highly integrated systems is highly preferred What We Offer: 

● Competitive salary and benefits package. 

● Opportunities for professional growth and development. 

● A collaborative and innovative work environment. 

● Flexible work arrangements. 

● An inclusive and diversified working environment's:
●      Project Management Professional (PMP) certification.
●      Experience in Singapore Government projects.
●      Familiarity with Agile methodologies.

What We Offer:
●      Competitive salary and benefits package.
●      The chance to work onshore in Singapore and/or across other regions.
●      Opportunities for professional growth and development.
●      A collaborative and innovative work environment.
●      Flexible work arrangements.
●      An inclusive and diversified working environment

How to Apply:
Interested candidates are invited to submit their resume and cover letter to hana.tran@linktreecorp.com with the subject line Application Support / Integration Engineer

Key Responsibilities –

Design, develop, and maintain high-performance Java backend systems for data processing and analytics.
Collaborate with cross-functional teams to translate business requirements into technical solutions
Implement parallel data processing solutions to handle large-scale datasets efficiently
Optimize memory usage and system performance for data-intensive applications
Develop and maintain integrations with relational databases and data warehouses
Create and optimize complex SQL queries for data extraction, transformation, and analysis
Implement data security measures and ensure compliance with data protection regulations
Participate in code reviews and maintain high code quality standards
Design and implement CI/CD pipelines for data engineering workflows
Technical Skills –

• 7+ years of Java backend development experience with focus on data processing applications
• 5+ years of advanced SQL experience with complex query optimization
• Deep understanding of parallel data processing frameworks and techniques
• Expertise in memory optimization and performance tuning for large datasets
• Strong experience with relational database integration (PostgreSQL, MS SQL Server preferred)
• Proficiency with cloud platforms (AWS, Google Cloud, or Azure required)
• Solid understanding of SDLC best practices, version control, and CI/CD pipelines
• Knowledge of data security principles and privacy protection measures

Mathematical & Analytical Skills –

• Strong mathematical background with ability to work with complex formulas and algorithms
• Excellent analytical and problem-solving capabilities
• Experience with statistical analysis and data modelling concepts

Soft Skills –

• Excellent written and verbal communication skills
• Strong attention to detail and commitment to data accuracy
• Passion for working with data and numerical analysis
• Ability to work collaboratively in cross-functional teams
• Self-motivated with strong project management skills

Preferred Qualifications –

• AWS certification or extensive AWS experience
• Python programming experience for data analysis and scripting
• Experience with MS SQL Server and/or PostgreSQL dialects
• Knowledge of data warehousing concepts and ETL processes
• Experience with containerization (Docker, Kubernetes)
• Familiarity with data visualization tools and techniques
• Experience with Agile/Scrum methodologies

Education –
Bachelor's degree in Computer Science, Mathematics, Engineering, or related technical field

Master's degree preferred

Key Responsibilities

• Design, implement, configure, and maintain LAN, WAN, WLAN, and VPN infrastructure.

• Install, configure, and support network devices including routers, switches, firewalls, and load balancers.

• Monitor network performance, availability, and capacity; proactively identify and resolve issues.

• Perform network troubleshooting at L2/L3 levels and root cause analysis.

• Implement and manage network security controls, firewall rules, IDS/IPS, and VPN access.

• Support network upgrades, migrations, and technology refresh initiatives.

• Ensure compliance with security policies, standards, and best practices.

• Work closely with system, security, and application teams on infrastructure integration.

• Manage network documentation, diagrams, IP addressing, and configuration backups.

• Coordinate with vendors, ISPs, and service providers for issue resolution and projects.

Required Skills & Qualifications

Technical Skills

• Strong experience with routing and switching (TCP/IP, VLANs, OSPF, BGP).

• Hands-on experience with Cisco, Fortinet, Juniper, or similar network devices.

• Experience managing firewalls, VPNs, and network security solutions.

• Knowledge of network monitoring and troubleshooting tools.

• Experience with wireless networks (Wi-Fi) and access point management.

• Understanding of high availability, redundancy, and failover designs.

• Familiarity with cloud networking (AWS, Azure, or GCP) is an advantage.

Preferred / Good-to-Have Skills

• Certifications such as CCNA / CCNP / NSE / JNCIS.

• Experience with network automation or scripting.

• Exposure to SD-WAN technologies.

• Knowledge of ITIL-based operations and change management.

• Experience supporting 24x7 or critical production environments.

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Key Responsibilities

• Design, implement, configure, and maintain LAN, WAN, WLAN, and VPN infrastructure.

• Install, configure, and support network devices including routers, switches, firewalls, and load balancers.

• Monitor network performance, availability, and capacity; proactively identify and resolve issues.

• Perform network troubleshooting at L2/L3 levels and root cause analysis.

• Implement and manage network security controls, firewall rules, IDS/IPS, and VPN access.

• Support network upgrades, migrations, and technology refresh initiatives.

• Ensure compliance with security policies, standards, and best practices.

• Work closely with system, security, and application teams on infrastructure integration.

• Manage network documentation, diagrams, IP addressing, and configuration backups.

• Coordinate with vendors, ISPs, and service providers for issue resolution and projects.

Required Skills & Qualifications

Technical Skills

• Strong experience with routing and switching (TCP/IP, VLANs, OSPF, BGP).

• Hands-on experience with Cisco, Fortinet, Juniper, or similar network devices.

• Experience managing firewalls, VPNs, and network security solutions.

• Knowledge of network monitoring and troubleshooting tools.

• Experience with wireless networks (Wi-Fi) and access point management.

• Understanding of high availability, redundancy, and failover designs.

• Familiarity with cloud networking (AWS, Azure, or GCP) is an advantage.

Preferred / Good-to-Have Skills

• Certifications such as CCNA / CCNP / NSE / JNCIS.

• Experience with network automation or scripting.

• Exposure to SD-WAN technologies.

• Knowledge of ITIL-based operations and change management.

• Experience supporting 24x7 or critical production environments.

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

 Data Center Capacity Planning Engineer (Power, Cooling, DCIM, Infrastructure)

About the Role

We are seeking a Data Center Capacity Planning Engineer to drive end-to-end capacity strategy and infrastructure optimization across mission-critical environments. This role is responsible for forecasting, modeling, and ensuring scalability of data center resources including power, cooling, space, network, and compute.

You will work closely with engineering, operations, and project teams to ensure high availability, SLA compliance, and efficient utilization in a fast-growing, high-demand environment.

Key Responsibilities

1. Capacity Planning & Forecasting

• Develop and maintain data center capacity models (power, cooling, rack space, network, compute)
• Perform short-term and long-term forecasting aligned to business growth and project pipelines
• Monitor utilization trends, load patterns, and capacity risks
• Ensure infrastructure meets SLA, uptime, and performance requirements

2. Data Center Engineering & Design

• Support design and deployment of data center infrastructure (rack layouts, power distribution, cooling systems)
• Ensure scalability, redundancy (N, N+1, 2N), and high availability architecture
• Review and approve engineering drawings, technical specifications, and design standards
• Ensure compliance with industry standards and best practices (Tier standards, uptime requirements)

3. Project & Stakeholder Management

• Partner with project managers to align capacity planning with delivery timelines
• Provide technical input during planning, execution, and commissioning phases
• Coordinate with vendors, contractors, and cross-functional teams
• Communicate capacity constraints, risks, and recommendations to stakeholders and leadership

4. Operational Optimization

• Drive efficiency initiatives including PUE optimization, load balancing, and energy efficiency
• Implement and enhance DCIM tools, monitoring systems, and reporting dashboards
• Support incident analysis and root cause investigations related to capacity or infrastructure failures

Requirements

Education

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related discipline
• Master’s degree is advantageous

Experience

• 5–10+ years in data center engineering, capacity planning, or critical infrastructure
• Experience in hyperscale or colocation data centers preferred
• Proven track record in capacity modeling, forecasting, and infrastructure optimization

Technical Skills

• Strong knowledge of:Power systems (UPS, PDU), cooling systems (HVAC, CRAC/CRAH)Rack capacity planning, space optimizationNetwork and compute infrastructure fundamentals
• Hands-on experience with DCIM tools and monitoring platforms
• Understanding of redundancy models (N, N+1, 2N) and high availability design

Engineering Manager

Job Type: Permanent
Location: Singapore, Hybrid Work Model
Salary: SGD 168,000 – 180,000 per annum + Insurance Benefits

We are seeking an experienced and hands-on Engineering Manager to lead a high-performing team delivering scalable, data-intensive applications. This role requires a strong balance of technical leadership, people management, and strategic thinking, with the ability to stay close to the code while driving engineering excellence.

You will play a key role in shaping architecture, improving engineering practices, and ensuring the successful delivery of high-quality software in a fast-paced, globally distributed environment. Collaboration across EU and US time zones will be required.

Key Responsibilities:

• Technical Leadership: Define architecture and platform strategy, drive best practices in scalability, performance, and reliability, and contribute hands-on to development and code reviews.
• Data & Platform Engineering: Design and optimize data models, pipelines, and analytical workloads across large-scale systems, ensuring high performance and maintainability.
• Stakeholder Management: Translate business needs into technical solutions, communicate trade-offs clearly, and coordinate delivery across global teams (EU & US time zones).
• People Leadership: Lead, mentor, and grow a high-performing engineering team, driving hiring, performance management, and a culture of ownership and continuous improvement.

Required Technical Skills & Experience:

Core Engineering:

• Strong experience with TypeScript across Back-End and Front-End development.
• Expertise in building and maintaining RESTful and/or GraphQL APIs.

Data Engineering & Databases:

• Hands-on experience with analytical/columnar databases (e.g., ClickHouse, BigQuery, Redshift, DuckDB).
• Strong proficiency in PostgreSQL and MS SQL Server, including performance tuning and query optimization.
• Experience designing and optimizing large-scale data processing systems.

DevOps & Infrastructure:

• Strong experience with Kubernetes (deployment, scaling, troubleshooting in production).
• Hands-on experience with Helm and containerized application deployment.
• Familiarity with cloud platforms (preferably Azure, but AWS/GCP also relevant).
• Experience building and maintaining CI/CD pipelines using GitHub Actions.

Preferred:

• Experience working with OMOP CDM (Observational Medical Outcomes Partnership Common Data Model), including data modelling, ETL pipelines, and schema design.
• Exposure to healthcare data standards (e.g., HL7 FHIR, ICD, SNOMED, LOINC) is a plus.
• Experience working with large-scale unstructured data or analytics platforms.
• Familiarity with modern Front-End frameworks and analytics-driven UI components.
• Background in data-intensive platforms, research, or real-world data applications.
• Contributions to open-source projects is a plus.

Role Summary:

We are seeking a hands-on Data Engineer to spearhead our Databricks Proof of Concept (POC) on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform. Working across diverse AWS and external data sources, you will build a unified, production-ready Databricks environment that validates the platform for broader adoption.

Key Responsibilities:

Platform & Infrastructure Setup

• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Design and implement a scalable Medallion Architecture using Delta Lake (Bronze / Silver /Gold layers).
• Build automated ingestion pipelines leveraging Databricks Autoloader.

Data Engineering

• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Optimize Spark jobs for performance, reliability, and cost-efficiency.
• Connect diverse AWS and external data sources into a unified Databricks environment.

Governance &Evaluation

• Establish data governance standards using Unity Catalog. (Good to have — not a hard requirement for the POC.)
• Configure Databricks Clusters with Autoscaling and Spot Instances to manage AWS spend.
• Define and evaluate POC success metrics covering performance, cost, and ease of use.
• Set up an end-to-end pipeline (Source → S3 → Databricks → BI Tool) within agreed timelines.

Qualifications and Experience:

Must-Have Skills

• Databricks Mastery — Expert knowledge of Delta Lake and Medallion Architecture (Bronze /Silver / Gold).
• PySpark / Spark SQL — Ability to write and optimize Spark code; Python strongly preferred over Scala or R.
• AWS Infrastructure — Deep understanding of S3 (bucket policies, storage), IAM(roles and policies) for secure Databricks access.
• Data Ingestion —Hands-on experience with Databricks Autoloader or Unity Catalog for managed data governance.
• 3–5+ years of professional experience in Data Engineering with PySpark / SQL.

Good to Have

• Networking — VPC configuration and AWS networking concepts.
• AWS Glue or Amazon EMR experience.
• Databricks Certified Data Engineer Professional certification.
• Experience connecting OOTB BI tools to Databricks environments.