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Grow your career with CPS Asia Pacific. We offer exciting opportunities in a dynamic, fast-growing 

environment where innovation and excellence are at the heart of everything we do.

Cloud Systems Administrator

Position Overview:

The Cloud Systems Administrator is responsible for the deployment, management, and maintenance of the organization’s cloud infrastructure. This role ensures cloud environments are secure, highly available, scalable, and cost-e icient to support

business operations and digital initiatives.

 

Key Responsibilities:

• Deploy, configure, and manage cloud infrastructure (IaaS, PaaS, SaaS) across public, private, and hybrid environments.
• Monitor system performance, availability, and capacity, ensuring SLAs are met or exceeded.
• Implement and maintain cloud security controls, including access management, encryption, and compliance with ISO 27001, NIST, and internal policies.
• Manage cloud costs, optimize resource utilization, and implement automation to improve e iciency.
• Troubleshoot and resolve cloud-related incidents and performance issues within defined SLA timelines.
• Collaborate with IT, development, and security teams to ensure smooth integration of cloud services with existing systems.
• Maintain detailed documentation of cloud infrastructure, configurations, and operational procedures.
• Stay updated with emerging cloud technologies, trends, and best practices, recommending improvements to leadership.

 

Qualifications & Skills:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 5+ years of experience managing cloud infrastructure, preferably in enterprise environments.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and related technologies (VMs, containers, networking, storage).
• Experience with cloud automation tools (Terraform, Ansible, CloudFormation) and monitoring solutions.
• Solid understanding of security best practices, IAM, and compliance requirements.
• Excellent problem-solving, communication, and collaboration skills.
• Relevant certifications preferred: AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Professional Cloud Architect, CCNP/CCIE.

 

Key Competencies:

• Cloud architecture and deployment expertise
• Operational excellence and automation mindset
• Security and compliance awareness
• Analytical and problem-solving skills
• Team collaboration and stakeholder management

Cybersecurity Operations Lead

Position Overview:

The Cybersecurity Lead is responsible for establishing and maintaining the organization’s security strategy, ensuring the protection of information assets, networks, and systems. This role oversees cybersecurity operations, risk management, compliance, and incident response to safeguard the organization against threats.

 

Key Responsibilities:

• Develop and implement a comprehensive cybersecurity strategy aligned with business objectives and regulatory requirements.
• Lead the cybersecurity team in monitoring, detecting, and responding to security incidents and threats.
• Oversee vulnerability management, penetration testing, and threat intelligence initiatives.
• Ensure compliance with security frameworks and standards (ISO 27001, NIST, CIS, GDPR, PDPA).
• Establish policies, procedures, and best practices for secure system design, configuration, and operations.
• Collaborate with IT, development, and business units to integrate security into projects and operations.
• Conduct regular risk assessments, security audits, and reporting to executive management.
• Mentor and develop cybersecurity personnel, promoting continuous skill enhancement.
• Stay current with emerging threats, technologies, and industry trends to enhance security posture.

 

Qualifications & Skills:

• Bachelor’s or master’s degree in information security, Computer Science, or related field.
• 10+ years of experience in cybersecurity, with at least 5 years in a leadership role.
• Strong knowledge of network security, endpoint protection, identity management, cloud security, and application security.
• Experience with security operations centres (SOC), SIEM, and incident response procedures.
• Excellent analytical, problem-solving, and leadership skills.
• Relevant certifications preferred: CISSP, CISM, CISA, CEH, or equivalent.

 

Key Competencies:

• Strategic cybersecurity planning
• Risk and compliance management
• Incident detection and response
• Team leadership and mentoring
• Collaboration and communication skills
• Continuous learning and innovation

Data Engineer

Position Overview:

The Data Engineer is responsible for designing, developing, and maintaining scalable and reliable data pipelines and systems. This role ensures that data is accurate, timely, and accessible to support analytics, business intelligence, and data-driven decision making.

 

Key Responsibilities:

• Develop, maintain, and optimize data pipelines, ETL/ELT processes, and data integration workflows.
• Ensure data quality, consistency, and integrity across all systems and platforms.
• Monitor and troubleshoot data processing, identifying and resolving issues proactively.
• Collaborate with data scientists, analysts, and IT teams to understand data requirements and deliver solutions.
• Implement and maintain data security and compliance measures in line with regulatory requirements.
• Document data architecture, pipelines, processes, and technical procedures.
• Participate in the evaluation and implementation of new data technologies and tools.
• Contribute to performance optimization and automation of data workflows.

 

Qualifications & Skills:

• Bachelor’s degree in computer science, Data Engineering, or related field.
• 3–5 years of experience in data engineering or ETL/ELT development.
• Strong knowledge of SQL, NoSQL, data warehousing, and cloud-based data platforms.
• Experience with big data technologies (Hadoop, Spark, Kafka) is a plus.
• Understanding of data security, privacy, and regulatory compliance.
• Analytical, problem-solving, and collaboration skills.
• Familiarity with version control, CI/CD, and workflow orchestration tools.

 

Key Competencies:

• Data pipeline development and optimization
• Data quality and integrity management
• Collaboration with analytics and IT teams
• Troubleshooting and problem-solving
• Continuous learning and technical innovation

Data Engineering Head

Position Overview:

The Data Engineering Head leads the data engineering function, responsible for
designing, building, and maintaining scalable, secure, and high-performance data
platforms and pipelines. This role ensures that enterprise data is reliable, accessible,
and supports analytics, business intelligence, and data-driven decision-making. es:

 

Key Responsibilities:

• Develop, maintain, and optimize data pipelines, ETL/ELT processes, and data integration workflows.
• Ensure data quality, consistency, and integrity across all systems and platforms.
• Monitor and troubleshoot data processing, identifying and resolving issues proactively.
• Collaborate with data scientists, analysts, and IT teams to understand data requirements and deliver solutions.
• Implement and maintain data security and compliance measures in line with regulatory requirements.
• Document data architecture, pipelines, processes, and technical procedures.
• Participate in the evaluation and implementation of new data technologies and tools.
• Contribute to performance optimization and automation of data workflows.

 

Qualifications & Skills:

• Bachelor’s degree in computer science, Data Engineering, or related field.
• 3–5 years of experience in data engineering or ETL/ELT development.
• Strong knowledge of SQL, NoSQL, data warehousing, and cloud-based data platforms.
• Experience with big data technologies (Hadoop, Spark, Kafka) is a plus.
• Understanding of data security, privacy, and regulatory compliance.
• Analytical, problem-solving, and collaboration skills.
• Familiarity with version control, CI/CD, and workflow orchestration tools.

 

Key Competencies:

• Data pipeline development and optimization
• Data quality and integrity management
• Collaboration with analytics and IT teams
• Troubleshooting and problem-solving
• Continuous learning and technical innovation

Data Privacy Lead

Position Overview:

The Data Engineering Head leads the data engineering function, responsible for designing, building, and maintaining scalable, secure, and high-performance data platforms and pipelines. This role ensures that enterprise data is reliable, accessible,
and supports analytics, business intelligence, and data-driven decision-making. es:

 

 

Key Responsibilities:

• Develop, maintain, and optimize data pipelines, ETL/ELT processes, and data integration workflows.
• Ensure data quality, consistency, and integrity across all systems and platforms.
• Monitor and troubleshoot data processing, identifying and resolving issues proactively.
• Collaborate with data scientists, analysts, and IT teams to understand data requirements and deliver solutions.
• Implement and maintain data security and compliance measures in line with regulatory requirements.
• Document data architecture, pipelines, processes, and technical procedures.
• Participate in the evaluation and implementation of new data technologies and tools.
• Contribute to performance optimization and automation of data workflows.

 

 

Qualifications & Skills:

• Bachelor’s or master’s degree in law, Information Security, IT, or related field.
• 7–10 years of experience in data privacy, data protection, or regulatory compliance roles.
• Strong knowledge of global data protection laws and frameworks (GDPR, PDPA, CCPA).
• Excellent analytical, organizational, and communication skills.
• Experience managing privacy programs and conducting privacy assessments.
• Relevant certifications preferred: CIPP/E, CIPP/A, CIPM, CDPO.

 

 

Key Competencies:

• Regulatory knowledge and compliance
• Privacy program management
• Risk assessment and mitigation
• Stakeholder engagement and training
• Documentation and audit readiness

Database Administrator (DBA)

Position Overview:

The Database Administrator (DBA) is responsible for the design, implementation, maintenance, and optimization of enterprise databases to ensure high availability, performance, and security. This role supports business operations and analytics
through reliable and scalable data management practices.

 

Key Responsibilities:

• Install, configure, and maintain database systems (Oracle, SQL Server, MySQL, PostgreSQL, etc.) in on-premises and cloud environments.
• Monitor database performance, availability, and capacity; implement tuning and optimization strategies.
• Plan and execute backup, recovery, and disaster recovery procedures to ensure data integrity and availability.
• Implement database security controls including access management,
encryption, and compliance with regulatory standards (ISO 27001, GDPR, PDPA).
• Manage database changes, upgrades, patches, and migrations with minimal disruption.
• Collaborate with development, infrastructure, and analytics teams to support
application and reporting requirements.
• Maintain accurate documentation of database configurations, procedures, and policies.
• Conduct root cause analysis for database-related incidents and implement preventative measures.
• Stay current with emerging database technologies, trends, and best practices.

 

Qualifications & Skills:

• Bachelor’s degree in computer science, Information Technology, or related field.
• 5+ years of experience in database administration, with hands-on experience in enterprise database systems.
• Strong knowledge of database design, performance tuning, backup/recovery,
and security.
• Experience with high-availability solutions, replication, clustering, and cloud based databases.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Relevant certifications preferred: Oracle Certified Professional, Microsoft SQL Server Certification, AWS/Azure Database Specialty.

 

Key Competencies:

• Database architecture and optimization
• Security and compliance management
• Operational excellence and monitoring
• Problem-solving and analytical thinking
• Collaboration with cross-functional teams

Network Administrator

Position Overview:

The Network Administrator is responsible for the daily management, monitoring, and maintenance of the organization’s network infrastructure. This role ensures secure, reliable, and high-performance connectivity to support business operations and IT services.

 

Key Responsibilities:

• Configure, deploy, and maintain network devices including routers, switches, firewalls, VPNs, and wireless systems.
• Monitor network performance, troubleshoot connectivity issues, and optimize network infrastructure to meet SLA targets.
• Implement and enforce network security measures, including firewalls, access controls, and intrusion detection/prevention systems.
• Manage network changes, upgrades, and patches with minimal disruption to services.
• Maintain accurate documentation of network configurations, topologies, and procedures.
• Collaborate with IT infrastructure, security, and application teams to support seamless integration and performance.
• Conduct network capacity planning and recommend upgrades based on business growth and technology trends.
• Stay current with emerging networking technologies and industry best practices.

 

Qualifications & Skills:

• Bachelor’s degree in computer science, Information Technology, or related field.
• 3–5 years of experience in network administration, preferably in enterprise environments.
• Strong knowledge of LAN, WAN, VPN, wireless, and cloud networking.
• Experience with network monitoring tools, troubleshooting, and performance optimization.
• Knowledge of security protocols, firewalls, and compliance requirements.
• Excellent analytical, problem-solving, and communication skills.
• Relevant certifications preferred: CCNA, CCNP, CCIE, CompTIA Network+, or equivalent.

 

Key Competencies:

• Network architecture and troubleshooting
• Security and compliance awareness
• Operational e iciency and monitoring
• Collaboration and communication skills
• Problem-solving and proactive issue resolution

SAP Functional Analysts

Key Responsibilities:

SAP Functional Leadership
• Lead and supervise the SAP Functional Analyst team supporting enterprise operations
• Serve as the primary functional lead for SAP ECC and higher SAP platform versions
• Provide guidance on SAP configuration, process improvements, and system enhancements

 

SAP Business Process Alignment
• Work closely with business units to translate operational requirements into SAP functional specifications
• Ensure that SAP configurations align with end-to-end business process requirements
• Drive continuous improvement in ERP-enabled operational workflows

 

SAP Enhancement & Development Governance
• Manage SAP change requests, enhancements, and functional developments
• Ensure that all SAP changes comply with SDLC and change management governance policies
• Oversee testing, validation, and controlled deployment to production environments

 

SAP System Governance
• Ensure SAP applications operate under controlled governance and documented configuration standards
• Maintain documentation of SAP processes, configurations, and enhancements
• Ensure alignment with internal audit, compliance, and IT governance frameworks

 

SAP Vendor and AMS Coordination

• Serve as the primary liaison with SAP Application Management Support (AMS) vendors
• Manage vendor deliverables related to system maintenance, upgrades, and issue resolution
• Monitor vendor performance against agreed service levels and operational commitments

 

SAP Incident & Problem Management
• Oversee resolution of SAP functional incidents affecting business operations
• Conduct root cause analysis and recommend corrective actions
• Ensure proper tracking and documentation of system issues and resolutions

 

SAP Platform Roadmap
• Provide strategic recommendations on SAP platform optimization and future upgrades
• Maintain awareness of SAP ECC enhancements and higher version capabilities including S/4HANA
• Support the organization’s long-term ERP modernization roadmap

 

Required Qualifications:
• Bachelor’s degree in Information Technology, Computer Science, Engineering, or related discipline
• Minimum 7–10 years of experience in SAP functional roles
• Strong knowledge of SAP ECC architecture and functionality
• Working knowledge or exposure to higher SAP versions such as S/4HANA
• Experience managing SAP functional analysts or ERP teams
Preferred:
• SAP functional specialization in modules such as FI/CO, MM, SD, PP, or HR
• Experience working with SAP AMS vendors or ERP support partners Core Competencies

• SAP ECC functional expertise
• Knowledge of higher SAP platform versions (S/4HANA awareness)
• ERP business process analysis
• Change management and SDLC governance
• Vendor coordination and stakeholder management
• Team leadership and ERP solution governance

 

Leadership Scope:
The SAP Functional Development Lead will manage:
• SAP Functional Analysts
• SAP Business Analysts

Responsibilities include:
• Functional solution design oversight
• Task assignment and performance monitoring
• Quality assurance of SAP deliverables
• Coordination with IT infrastructure, cybersecurity, and data teams

Data Analyst

Job Summary:

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. In this role, you will be responsible for identifying, collecting, cleaning, manipulating, analyzing, and interpreting data to uncover market insights that drive value for our clients. The ideal candidate is technically proficient, analytically rigorous, and capable of converting raw data into actionable intelligence. You should have proven experience working with large datasets, building sophisticated spreadsheet models, developing market intelligence dashboards and slide decks, and presenting findings effectively to both technical and non-technical stakeholders.

 

Desired Expertise and Skills
• You think in systems. You understand how various parts of a system interact, and how cause-and-effect relationships cascade across multiple levels. You are able to design solutions to complex problems by identifying, assembling, and optimizing data sources and workflows.

• You apply mathematical concepts—such as linear algebra, calculus, micro/macroeconomics, and statistics—to model systems, identify trends, and solve complex analytical problems. You are fluent in statistical reasoning and understand core concepts such as correlation, causation, and ratios.

• You are persistent and results-driven, committed to solving difficult data problems with rigor, creativity, and attention to detail.

 

Fun Fact:
Strategic thinkers with strong execution skills thrive at Yield Sec. In fact, many of our top analysts excel at competitive role-playing and strategy games. If you’re someone who understands systems, analyzes behavior, knows about design mechanics, and ensures success in complex game environments—like a great Dungeon Master—this may be the perfect fit for you.

 

Key Responsibilities:
• Identify, collect, clean, validate, and transform raw data from diverse sources.

• Use SQL, Python, and spreadsheet tools to manipulate and analyze datasets.

• Build and maintain dashboards and visualizations using Excel, Power BI, and SharePoint.

• Construct data models and conduct statistical analyses to detect trends and generate insights.

• Translate complex analyses into clear, actionable insights for internal and external stakeholders.

• Collaborate with cross-functional teams (e.g., operations, marketing, sales) to support data-driven decision-making.

• Maintain thorough documentation and ensure high standards of data quality, security, and consistency.

• Create compelling presentations and slide decks to communicate insights.

• Deliver value to clients through strategic recommendations, automation opportunities, and performance monitoring.

• Support pilot projects and contribute to the development of new data and market intelligence offerings.

 

Qualifications:
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or related field; or equivalent relevant experience.

• 3+ years of experience in data analysis, data modeling, data visualization, or related roles.

 

Proficient in:

o Excel (pivot tables, macros, VBA, advanced formulas)

o Power BI, SharePoint Dashboards

o SQL, Python (with libraries such as Pandas, NumPy, Matplotlib)

o Office 365 and Google Workspace (Docs, Sheets, Slides, Gmail)

• Solid foundation in data modeling, database normalization, and data transformation workflows.

• Strong storytelling ability—capable of translating technical findings into business insights.

• Experience handling, scraping, and wrangling large datasets from both public and private sources.

• Excellent written and verbal communication skills, with the ability to interact effectively across all organizational levels.

• Strong organizational, time management, and multitasking abilities.

 

Preferred Qualifications:
• Experience in fast-paced, data-intensive industries or high-growth environments where data insights deliver a competitive edge.

• Background in algorithmic trading, simulation modeling, or betting strategy development.

• Experience modeling and importing structured datasets (e.g., market datasets).

Data Scientist

Key Responsibilities:


Advanced Data Science & Modeling

  • Research, design, and implement machine learning models and AI-driven analytic workflows.
  • Conduct sophisticated quantitative analyses, including predictive modeling, segmentation, classification, optimization, and behavioral pattern detection.
  • Perform market simulation modeling, scenario forecasting, and causal inference studies.
  • Deliver and effectively communicate high value insights derived from the data


Data Engineering & Workflow Design

  • Architect data collection, validation, transformation, and enrichment pipelines.
  • Develop scalable analytical datasets using SQL, Python, spreadsheets, and cloud-based tools.
  • Ensure data quality, lineage, security, and consistency across multi-source environments.


AI-Driven Insights & Innovation

  • Prototype and evaluate new AI tools, models, and methodologies to enhance internal capabilities.
  • Contribute to the creation of new market intelligence features powered by ML or other AI techniques.
  • Identify opportunities to automate high‑value processes using AI agents or model-driven workflows.


Visualization, Communication & Storytelling

  • Build visual dashboards, analytical tools, and compelling presentations using tools like Tableau, Power BI, SharePoint, Excel or similar.
  • Translate complex findings into clear, actionable recommendations for leadership, clients, and cross-functional teams.
  • Communicate uncertainty, model limitations, and data risks with clarity and professionalism.
  • Create compelling briefs, reports, presentations or slide decks to communicate insights at all levels, internal or client facing.


Strategic Collaboration:

  • Partner with engineering, operations, research, sales, and client teams to ensure insights translate into measurable outcomes.
  • Mentor analysts and contribute to data science best practices across the organization
  • Lead or support pilot projects for new market intelligence offerings.
  • Help design data-driven product enhancements and new analytics capabilities.


Qualifications Required:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Economics, or equivalent experience.
  • 4+ years of experience in data science, applied machine learning, or advanced analytics roles.
  • Strong proficiency in:
    • Excel (pivot tables, macros, VBA, advanced formulas)
    • Python (Pandas, NumPy, SciPy, scikit‑learn, etc.)
    • SQL and relational database concepts
    • Machine learning, including model selection, tuning, and validation
    • Data modeling, ETL workflows, and database normalization
    • Visualization tools such as Power BI, Tableau, or equivalent
    • Office 365 and Google Workspace

  • Demonstrated ability to handle large, complex datasets from public and proprietary sources.
  • Strong communication skills—able to articulate sophisticated technical insights to senior leadership.
  • Highly organized, detail-oriented, and able to manage multiple fast-moving projects.


Preferred:

  • Experience in fast-paced, data-intensive or or high-growth environments where data insights deliver a competitive edge.
  • Background in:
    • Algorithmic trading
    • Simulation or game theory modeling
    • NLP or text analytics
    • Anomaly detection or fraud detection
    • Betting strategy development
  • Experience integrating AI/ML into product features or automated workflows.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).

Cloud Systems Administrator

The Cloud Systems Administrator is responsible for the deployment, management, and maintenance of the organization’s cloud infrastructure. This role ensures cloud environments are secure, highly available, scalable, and cost-e icient to support business operations and digital initiatives.

Full Time

Cybersecurity Operations Lead

The Cybersecurity Lead is responsible for establishing and maintaining the organization’s security strategy, ensuring the protection of information assets, networks, and systems. This role oversees cybersecurity operations, risk management, compliance, and incident response to safeguard the organization against threats.

Full Time

Data Engineer

The Data Engineer is responsible for designing, developing, and maintaining scalable and reliable data pipelines and systems. This role ensures that data is accurate, timely, and accessible to support analytics, business intelligence, and data-driven decision

making.

Full Time

Data Engineering Head

The Data Engineering Head leads the data engineering function, responsible for designing, building, and maintaining scalable, secure, and high-performance data platforms and pipelines. This role ensures that enterprise data is reliable, accessible,
and supports analytics, business intelligence, and data-driven decision-making.

Full Time

Data Privacy Lead

The Data Privacy Lead ensures the organization’s compliance with global and local data privacy regulations (e.g., GDPR, PDPA, CCPA) and manages privacy risks. This role establishes data protection policies, oversees privacy programs, and ensures the
responsible handling of personal and sensitive data across the enterprise.

Full Time

Data Scientist

The Data Scientist analyzes complex datasets, develops predictive models, and generates actionable insights to support business decision-making and strategic initiatives. This role bridges data analytics, machine learning, and business
understanding to drive measurable impact.

Full Time

Database Administrator (DBA)

The Database Administrator (DBA) is responsible for the design, implementation, maintenance, and optimization of enterprise databases to ensure high availability, performance, and security. This role supports business operations and analytics through reliable and scalable data management practices.

Full Time

Network Administrator

The Network Administrator is responsible for the daily management, monitoring, and maintenance of the organization’s network infrastructure. This role ensures secure, reliable, and high-performance connectivity to support business operations and ITservices

Full Time

SAP Functional Development Lead (SAP ECC & Higher Versions)

The SAP Functional Development Lead is responsible for managing and overseeing the functional design, configuration, enhancement, and support of the SAP ERP environment, primarily covering SAP ECC and higher SAP platform versions including S/4HANA readiness.

Data Analyst

We are seeking a highly motivated and detail-oriented Data Analyst to join our team. In this role, you will be responsible for identifying, collecting, cleaning, manipulating, analyzing, and interpreting data to uncover market insights that drive value for our clients. The ideal candidate is technically proficient, analytically rigorous, and capable of converting raw data into actionable intelligence.

Data Scientist

We are seeking a pragmatic, highly advanced and intellectually curious Data Scientist to join our team. In this role, you will design and implement end‑to‑end analytical, statistical, and machine learning solutions that uncover deep insights into complex online markets. You will architect data workflows, develop predictive models, perform exploratory and causal analysis, and help drive innovation across our data and intelligence offerings.

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