Total 138 software test engineer job vacancies in The Philippines

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

As a QA Automation Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Translate project requirements into effective and comprehensive test cases.
• Define clear testing objectives that align with overall project goals.
• Establish the testing scope, prioritizing critical features and functionalities.
• Document expected deliverables, such as detailed test plans, scripts, and reports.
• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases
• Develop and maintain test automation frameworks, integrating them with CI/CD pipelines.
• Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection.
• Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth.  This position will support the technical implementation of predictive models and analytical tools of the Strategic Analytics team.  The position requires strong Python and API experience, as well as user-facing application support experience.  The role is for an individual who is open to exploring and implementing new technology in Azure and Databricks, as the team is dynamic and the technology needs and requirements are fluid and will evolve over time.

• Develop and maintain Azure Functions and APIs
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for performance and best practice
• Document technical workflows and implementation processes
• Create and maintain implementation testing scripts (unit and bulk)
• Collaborate with project stakeholders and other developers
• Code development and deployment using VS Code and GitHub
• Contribute and enforce evolving best standards and practices

We are looking for a senior level Infrastructure Database Administrator who will be part of the Infrastructure Operations team managing and maintaining the server and database infrastructure. Including but not limited to operational projects of migration and optimization of databases on prem as well as on the cloud.

Responsibilities:

• SQL Server upgrades/migrations
• Performance Tuning – review critical databases and improve the performance including indexing, SQL tuning
• Database Jobs Schedules – migrate all database jobs to JAMS centralized enterprise scheduling
• Monitoring and Alerting – setup database monitoring, adjust thresholds and alerting
• Database health checks
• Database Re-orgs
• New product/application support activities
• Database automation – automating database tasks
• Database DevOps – identify tools to include database deployments through CI/CD pipelines
• Database version control – ensure the database across all the environments are in synch
• Disaster Recovery – Test and Validate database recovery mechanisms and support DR testing
• Creation and management of databases in on-prem servers, cloud servers and cloud manage instances.
• Documentation
• On-Call rotation
• Knowledge of SQL Server, Oracle, Postgress, MongoDB

We are seeking a highly skilled backend developer to join our team. The ideal candidate will have experience in .NET Core, Azure, microservices, SQL, and AKS. In this role, you will be responsible for designing, developing, and maintaining the backend of our applications. 

• Design, develop, and maintain the backend of our applications using .NET Core, Azure, microservices, SQL, and AKS.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Understand functional requirements.
• Design and code current and new business functionality in the strategic platform.
• Ensure solutions conform to best practice design.
• Strong communication and team-working skills.
• Pro-active and cooperative attitude.
• Managing deployment of applications.
• Excellent Analytical ability and showing keen interest to learn new platforms and technologies.
• Experience in Insurance/Reinsurance domains will be an added bonus

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help manage our data.

Innovative Solutions: Design and implement cutting-edge solutions across
Cloud, DevOps, and Data Engineering to streamline our processes.
- Data Stewardship: Take ownership of all data managed in-house, sourced from
top-tier vendors like BlackRock, Clearwater, Bloomberg, ICE, BONY, and
external managers.
- Collaborative Onboarding: Partner with business units and IT together to
onboard new data sources and enhance our ingestion processes.
- Process Enhancement: Continuously develop and refine data ingestion
processes, emphasizing robust data governance and control mechanisms.
- Architectural Design: Play a pivotal role in designing our data storage
systems and ETL processes to ensure efficiency and scalability.
- Strategic Collaboration: Work closely with AIM's GSO partner to oversee and
improve manual or ad hoc data ingestion tasks.
- Comprehensive Documentation: Maintain detailed documentation of all data
engineering processes and solutions to ensure clarity and continuity.
- Quality Assurance: Develop and execute rigorous test plans to guarantee the
reliability and accuracy of our data pipelines and systems.

Strategic Analytics is a dynamic, growing team at Arch.  The team develops innovative predictive models and analytical tools to improve profitability and growth. This position is responsible for assisting with the design and execution of automated diagnostic test plans to ensure that our services meet the highest quality standards and business requirements. Other tasks include developing and running new tests, reporting on the results and collaborating with other engineers to diagnose and fix issues. This role is for an individual that is attentive to detail and open to exploring and implementing new technology and processes to improve the QA process.

• Performs test planning activities as required.
• Creates and modifies test data.
• Creates and modifies test cases.
• Automation Testing – Set up and maintain automation tests and be involved with CI CD. 
• Executes test cases recursively and record/communicate results.
• Works with Agile team and stakeholders to communicate defect information

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help managing our current reporting dashboards using
Power BI technology.

• Design and develop high-quality, responsive user interfaces for web and
• mobile applications.
• Conduct user research, useability testing, and gather feedback to inform design decisions.
• Create wireframes, prototypes, and high-fidelity mockups to effectively communicate design concepts.
• Implement and maintain UI components using modern frontend technologies and framework.
• Write clean, maintainable, and well-documented code.
• Optimize applications for maximum speed and scalability.
• Troubleshoot and debug issues across the entire stack.
• Participate in code reviews to ensure code quality and best practices.

Arch investment Management Ltd. (AIML), based in Bermuda, is a wholly
owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance
company. Arch Capital has investable assets of over $36 bn. Arch Investment
Management manages Arch Capital and its subsidiaries' portfolios. The continued
growth of the company has created the need to fill a new position within our Risk
and Quantitative team to help managing our current reporting dashboards using
Power BI technology.

Maintain and improve AIM’s existing Power BI dashboards
- Design and implement new dashboards w/ advanced charts, data tables and other
visuals based on business users’ requirements
- Understand and participate in the data storage backend design which powers
the visuals inside Power BI

The Software Engineer II develops, implements, and maintains software solutions that enable business operations to realize company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software applications. May be assigned to develop new applications/systems, enhance/upgrade existing systems or provide production support. He/she works independently on moderately complex projects, receiving only general direction. May provide assistance and direction to less experienced peers.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
• Coordinates with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
• As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
• Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
• Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
• Liaises with other project and program areas to coordinate interdependencies and resolve issues.
• Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s
• Maintains a working knowledge of new technology and software engineering standards, practices and tools
• Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates

Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

We are seeking a highly skilled backend developer to join our team. The ideal candidate will have experience in ReactJS .NET Core and API.  In this role, you will be responsible for designing, developing, and maintaining the backend of our applications. 

• Design, develop, and maintain the backend of our applications using .ReactJS .netcore and API
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Understand functional requirements.
• Design and code current and new business functionality in the strategic platform.
• Ensure solutions conform to best practice design.
• Strong communication and team-working skills.
• Pro-active and cooperative attitude.
• Managing deployment of applications.
• Excellent Analytical ability and showing keen interest to learn new platforms and technologies.
• Experience in Insurance/Reinsurance domains will be an added bonus

We are seeking a highly skilled backend developer to join our team. The ideal candidate will have experience in ReactJS .NET Core and API.  In this role, you will be responsible for designing, developing, and maintaining the backend of our applications. 

• Design, develop, and maintain the backend of our applications using .ReactJS .netcore and API
• Collaborate with cross-functional teams to define, design, and ship new features.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.
• Understand functional requirements.
• Design and code current and new business functionality in the strategic platform.
• Ensure solutions conform to best practice design.
• Strong communication and team-working skills.
• Pro-active and cooperative attitude.
• Managing deployment of applications.
• Excellent Analytical ability and showing keen interest to learn new platforms and technologies.
• Experience in Insurance/Reinsurance domains will be an added bonus

Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

• Development and maintenance of ELT snowflake data warehouse solutions
• Collaborate with internal and external technology and business partners to implement product changes
• Produce detail design and unit test documents, as required
• Critically analyze business requirements, architect and implement Data solutions
• Define, develop and maintain standards and processes to ensure effective ETL solution
• Production maintenance
• Work closely with product manager to develop and execute action plans to address gaps
• Recommend innovations that enhance and/or provide a competitive advantage to the organization
• Communicate effectively with both the business and technical teams
• Mentor junior offshore developers to accomplish results
• Build and continuously improve data engineering best practices

Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention. 

• Development and maintenance of ELT snowflake data warehouse solutions
• Collaborate with internal and external technology and business partners to implement product changes
• Produce detail design and unit test documents, as required
• Critically analyze business requirements, architect and implement Data solutions
• Define, develop and maintain standards and processes to ensure effective ETL solution
• Production maintenance
• Work closely with product manager to develop and execute action plans to address gaps
• Recommend innovations that enhance and/or provide a competitive advantage to the organization
• Communicate effectively with both the business and technical teams
• Mentor junior offshore developers to accomplish results
• Build and continuously improve data engineering best practices

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The QA Engineer executes manual and automated testing by writing scripts and creating automation scenarios for repeated execution. Using different automation tools, the QA Engineer will design, test, and deploy effective test automation solutions.

• Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to document and plan test cases for regression, Integration, and automation test plans and test cases.
• Writes test automation scripts (i.e. Python, Java, Java script, C# etc.)
• Troubleshoots existing automation and optimizes the automation framework.
• Supports functional validation and sprint activities.
• Communicates with development teams, other product teams, and management to ensure proper test coverage of existing and new features and functionality.
• Build upon an existing framework to develop & execute automated test plans against developed features. Identify and report defects, work with team to resolve.
• Continuous improvement of automation framework and workflow processes, keep solutions up to date with latest technologies.
• Lead scrum test teams by example - encourage collaboration, contribution, and commitment to the teams’ shared goals.
• Guide and mentor junior team members on latest trends in automation.

The Software Engineer is responsible for development, implementation, and maintenance of software solutions. The role includes working on Front-end and back-end systems. The main duties include understanding user requirements, translating them to Front/Back End code, developing database objects and APIs.

The candidate will provide analysis, design, coding, debugging, testing, and support of software applications.

1. Works with the Agile Program Manager (APM), Digital Product Manager (DPM), and Business Systems Analyst (BSA) to accurately capture stakeholder requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
2. Coordinates with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
3. As part of Agile teams, completes software development work which includes application design, coding, code review and testing. Keeps Agile team and APM apprised of project status.
4. Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
5. Manages engineering risks by proactively tracking and communicating issues and devising methods to mitigating them.
6. Liaises with other project and program areas to coordinate interdependencies and resolve issues.
7. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
8. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
9. Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates

Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

The Software Engineer Level II is responsible for design, construction and unit testing of assigned components/modules. The candidate will collaborate with Business Analysts and SMEs to perform detailed requirement analysis. The candidate will provide production implementation and post-production support and be part of the US IT team.

• Analyze, design, develop methods, procedures to achieve optimal configuration of concurrent product baselines for company specific underwriting applications
• Ability to understand data modeling (conceptual, logical and physical) and database design concepts
• Support other development/QA staff with specific subject matter expertise
• Collect, track and report configuration management metrics and brief senior leadership on status of CM within the program
• Willingness to learn and work on SapiensPro configuration Tool.

The QA Engineer II is responsible for testing of all software product changes. The incumbent partners with internal and external stakeholders to ensure products conform to the desired quality standard. This role requires technical skills and a high degree of problem solving skills. The individual will be expected to actively contribute towards the team and organizational goal of continuous process improvement. This role requires strong communication skills and the ability to work well with others. This role will focus on configuring and setting up test automation.

As a Data/QA Engineer in our Enterprise Data department, you will be responsible for creating and managing automated tests to identify issues with the ETL process to ensure the quality of data in the Enterprise Data Warehouse.

The role involves working together with the onshore Enterprise Data team to decide on the required tests on the process, automate them through creating stored procedures, custom dbt tests and scheduling these as part of the ETL process which loads data from source into the EDW.

• Use dbt to build tests that ensures the ETL process is working as intended
• Automate the common manual testing done by the QA through creating macros in dbt
• Build and monitor automated system health checks
• Collaborate with Enterprise Data Engineers to investigate root cause of issues and suggest resolutions.
• Orchestrate data testing solutions using airflow
• Be able to support the team in doing releases

The Software Engineer Level II is responsible for design, construction and unit testing of assigned components/modules. The candidate will collaborate with Business Analysts and SMEs to perform detailed requirement analysis. The candidate will provide production implementation and post-production support and be part of the US IT team.

• Analyze, design, develop methods, procedures to achieve optimal configuration of concurrent product baselines for company specific underwriting applications
• Ability to understand data modeling (conceptual, logical and physical) and database design concepts
• Support other development/QA staff with specific subject matter expertise
• Collect, track and report configuration management metrics and brief senior leadership on status of CM within the program
• Willingness to learn and work on SapiensPro configuration Tool.