141,753 Jobs in Malaysia

ABOUT US

At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.

Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.

Longevity, Opportunity, Vision, Enjoy the game!

As a Senior Backend Developer, you will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.

• Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements.
• Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement.
• Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience.

• 6+ years of professional experience in software engineering.
• 2+ years of hands-on experience with Go (Golang) in production environments.
• Strong experience working with PostgreSQL and/or MySQL.
• Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm.
• Familiarity with messaging systems like RabbitMQ or Kafka.
• Comfortable using Git and CI/CD tooling in collaborative workflows.
• Working knowledge of frontend technologies, especially React and/or Next.js.
• Basic understanding of cloud platforms (GCP preferred).

• Experience building scalable, secure Login-as-a-Service platforms.
• Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management.
• Strong grasp of social login, SSO, and federated identity.
• Designed multi-tenant identity systems with isolation and configurability.
• Delivered developer-friendly APIs, SDKs, and integration documentation.
• Strong English communicator, for both technical and non-technical topics.

The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.

Overview

The role of Area Network Manager involves overseeing and managing operations within a specific geographic area or region. Area Managers play a crucial role in ensuring the efficient and effective delivery of parcels and packages, as well as maintaining high levels of customer satisfaction.

• Coordinate and manage the day-to-day operations of the courier services drop point / collection point / outlet within the designated area. This includes supervising sorting, routing, and delivery processes to ensure timely and accurate delivery of packages.
• Recruit, train, and manage a team of drivers, couriers, and support staff. Provide leadership, guidance, and support to ensure a motivated and efficient workforce.
• Plan and optimize delivery routes to maximize efficiency and reduce delivery times. Improve route planning and make real-time adjustments as needed.
• Monitor and track key performance indicators (KPIs) such as on-time deliveries, delivery accuracy, customer satisfaction, and operational costs. Take corrective actions to address any performance issues.
• Maintain a high level of customer satisfaction by addressing customer inquiries, concerns, and complaints. Implement strategies to enhance the customer experience and maintain strong relationships.
• Ensure compliance with safety regulations and company policies. Supervise and coach all the staff on the code of conduct and all the rules & regulations set by the company (e.g., arrangements for overnight parcel, fake POD (proof of delivery)).
• Prepare regular reports on operational performance and other relevant data for senior management. Provide insights and recommendations for continuous improvement.
• Any ad-hoc task assigned by the management.

• Minimum 1 year of experience in logistics, courier, transportation, or related operations.
• Strong leadership and team management skills, with the ability to motivate and develop staff.
• Excellent problem-solving, analytical, and decision-making abilities.
• Strong communication and interpersonal skills for effective coordination with internal teams, customers, and external partners.
• Ability to work under pressure, manage multiple priorities, and adapt to fast-paced operational environments.
• Willingness to travel within the assigned area as required.
• Strong sense of integrity, responsibility, and commitment to operational excellence.

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About the Company

A leading infrastructure construction company with a significant regional presence. We specialize in large-scale projects that drive economic growth and development. We are seeking a highly experienced and strategic Chief Financial Officer to lead our regional finance function. This role is critical in guiding our financial strategy, ensuring compliance, and supporting our ambitious growth objectives across multiple markets.

As the Regional CFO, you will be a key member of the senior leadership team, responsible for the financial health and strategic direction of our regional operations. You will oversee all financial aspects, including planning, reporting, treasury, and risk management, and act as a crucial business partner to the CEO and other department heads. The ideal candidate will be an experienced leader from a multinational corporation (MNC) who can navigate complex, multi-country financial environments.

• Financial Strategy & Leadership: Develop and execute the company's financial strategy to support regional growth targets. Provide expert financial guidance to the CEO and Board on key business decisions.
• Regional Financial Management: Oversee all finance, accounting, and reporting functions across the region. Manage financial operations, cash flow, and working capital to ensure stability and efficiency.
• Reporting & Compliance: Ensure all financial reporting is accurate, timely, and compliant with international accounting standards (IFRS/MFRS) and local regulations. Coordinate with external auditors and regulatory bodies.
• Mergers & Acquisitions (M&A): Lead financial due diligence, valuation, and integration for potential M&A and investment opportunities.
• Business Partnering: Collaborate with business unit leaders to drive operational excellence, optimize project profitability, and support commercial strategies.
• Team Leadership: Mentor and develop a high-performing finance team, fostering a culture of accountability, continuous improvement, and professional development.

• A bachelor's degree in Accounting, Finance, or a related field. A professional qualification (e.g., ACCA, CPA, CFA) is highly preferred.
• A minimum of 15 years of progressive experience in finance and accounting, with at least 5 years in a senior leadership role (e.g., Head of Finance or CFO) within an MNC.
• Proven experience in the infrastructure or construction industry is a must.
• Demonstrated experience in managing a regional finance function, including cross-border financial reporting and consolidation.
• Fluent in Mandarin (both written and spoken) is essential.
• Proficiency in English and Malay is also essential.
• Knowledge of other languages would be considered a valuable asset.
• Strong financial modeling, valuation, and strategic planning skills.
• Exceptional communication, leadership, and stakeholder management abilities.

If you are keen on this role, do apply via this link or reach out to bryant at

Overview

Job Description - Data Scientist (Python, Problem Solving , Machine Learning) (MER0003L3Q)

Data Scientist (Python, Problem Solving , Machine Learning) Group : Mercedes-Benz Group AG

Description

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

• Task Description: Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models.
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes.
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance.
• Documentation and communication of the procedures and results in a target group-adequate form.

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

• Qualifications / Experience:
• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification
• Specific knowledge/ Skill:
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing and Data Architectures

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Job Description: Job Ref:QY7VW585. People Profilers is hiring on behalf of a global tire company, fully integrated across R&D, manufacturing, and distribution serving consumers in over 130 countries around the world for an experienced Oracle Application Developer (remote) in Malaysia.

• Responsible for developing coding, installing, and maintaining software systems for the warehouse operation activities.
• Primary systems of focus include:
  • Oracle EBS
  • Oracle Database
  • Oracle Application Server
  • Oracle Application Express (APEX)
  • BI Publisher
• Involve in development activities to support existing software as well as develop solutions to adapt to business requirements.

• At least 4+ years supporting and developing solutions in a warehouse environment.
• Be able to handle US market timing (for meetings).
• Experience in supporting and developing Oracle Application solutions.
• Experience in Oracle PL/SQL development.
• Experience in developing with Oracle DB Objects including (Tables, Views, Triggers, Procedures, Functions, Jobs, etc.).
• Strong knowledge of Oracle EBS, APIs, warehouse management system, Oracle APEX or other.
• Development framework.
• Strong knowledge of Oracle Forms and Reports, Java, Oracle ADF, Oracle Application Express (APEX).
• Experience in developing user screens, reporting, and workflow solutions.
• Working knowledge of Unix/Solaris server environments.
• Experience generating reporting and alerts for transaction monitoring.
• Experience in working with data integration projects between Oracle EBS and third-party systems.

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Job Description: Job Ref:QY7VW585. People Profilers is hiring on behalf of a global tire company, fully integrated across R&D, manufacturing, and distribution serving consumers in over 130 countries around the world for an experienced Oracle Application Developer (remote) in Malaysia.

• Responsible for developing coding, installing, and maintaining software systems for the warehouse operation activities.
• Primary systems of focus include:
  • Oracle EBS
  • Oracle Database
  • Oracle Application Server
  • Oracle Application Express (APEX)
  • BI Publisher
• Involve in development activities to support existing software as well as develop solutions to adapt to business requirements.

• At least 4+ years supporting and developing solutions in a warehouse environment.
• Be able to handle US market timing (for meetings).
• Experience in supporting and developing Oracle Application solutions.
• Experience in Oracle PL/SQL development.
• Experience in developing with Oracle DB Objects including (Tables, Views, Triggers, Procedures, Functions, Jobs, etc.).
• Strong knowledge of Oracle EBS, APIs, warehouse management system, Oracle APEX or other.
• Development framework.
• Strong knowledge of Oracle Forms and Reports, Java, Oracle ADF, Oracle Application Express (APEX).
• Experience in developing user screens, reporting, and workflow solutions.
• Working knowledge of Unix/Solaris server environments.
• Experience generating reporting and alerts for transaction monitoring.
• Experience in working with data integration projects between Oracle EBS and third-party systems.

Responsibilities

• Provide management to staff and leadership to the organization that aligns with the company’s business plan and overall strategic vision.
• Assist executive team members in creating, growing and building a world class, industry leading organization.
• Drive company results from both an operational and financial perspective working closely with the CFO, CEO and other key executive team members.
• Partner with the CFO to achieve favorable financial results with respect to sales, profitability, cash flow, mergers and acquisitions, systems, reporting and controls.
• Set challenging and realistic goals for growth, performance and profitability.
• Create effective measurement tools to gauge the efficiency and effectiveness of internal and external processes.
• Provide accurate and timely reports outlining the operational condition of the company.
• Spearhead the development, communication and implementation of effective growth strategies and processes.
• Works with other c-level executives on budgeting, forecasting and resource allocation programs.
• Work closely with senior management team to create, implement and roll out plans for operational processes, internal infrastructures, reporting systems and company policies all designed to foster growth, profitably and efficiencies within the company.
• Motivate and encourage employees at all levels as one of the key leaders in the company including but not limited to professional staff, management level employees and executive leadership team members.
• Forge strategic partnerships and relationships with clients, vendors, banks, investors and all other professional business relationships.
• Work with the CEO and CFO in the capital raise process, participate in the company’s road shows. Meet, interact and present information effectively to potential investors and private equity firms.
• Foster a growth oriented, positive and encouraging environment while keeping employees and management accountable to company policies, procedures and guidelines.
• To perform any other duties and responsibilities as and when necessary at ad-hoc basis.

• Bachelor’s degree in Business Administration or related, MBA from top school preferred
• 10-15 years of industry experience.
• Strong leadership ability.
• Strategic mindset.
• Professional business acumen.
• Excellent ability to lead and manage
• Continually drive effective results.
• Communicate effectively at all levels.
• Ability to train, develop and manage large executive teams
• Executive Presence and ability maintain calm demeanor in high stress environments

Overview

Job Description - Data Scientist (Python, Problem Solving , Machine Learning) (MER0003L3Q)

Data Scientist (Python, Problem Solving , Machine Learning) Group : Mercedes-Benz Group AG

Description

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

• Task Description: Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models.
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes.
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance.
• Documentation and communication of the procedures and results in a target group-adequate form.

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

• Qualifications / Experience:
• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification
• Specific knowledge/ Skill:
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing and Data Architectures

Overview

Job Description - Data Scientist (Python, Problem Solving , Machine Learning) (MER0003L3Q)

Data Scientist (Python, Problem Solving , Machine Learning) Group : Mercedes-Benz Group AG

Description

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

• Task Description: Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models.
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes.
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance.
• Documentation and communication of the procedures and results in a target group-adequate form.

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

• Qualifications / Experience:
• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification
• Specific knowledge/ Skill:
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

SQL/noSQL, Python or R, Spark, Apache libraries, Machine Learning algorithms, Cloud Computing and Data Architectures