Total 151 construction engineer job vacancies in Taguig City

Shift: Night Shift

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.

Shift: Night Shift

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.

• Automate the common manual testing done by the QA through creating macros 
• 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
• Need automation knowledge on any tool

Shift: Night Shift

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.

Shift: Mid Shift

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, implement and maintain the backend of our applications using .NET Core, Web Applications, Azure, microservices, SQL, and AKS.
• Build reusable Nuget components.
• Work with Entity Framework to implement database operations.
• Troubleshoot and bug fixes.
• Review code developed by other Developers.
• Collaborate with project managers on work planning, sharing new ideas, and code demonstrations.
• 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.

Shift: Night Shift

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.

Shift: Night Shift

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.

Shift: Night Shift

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.

Shift: Night Shift

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.

Shift: Night Shift

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.

Shift: Night Shift

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.

Shift: Day Shift

The Senior Systems Engineer will be part of a remote team responsible for building and maintaining Arch's IT infrastructure as we move from private data centers to the hybrid cloud.  The workload will primarily be initiative based with some operational tasks.  The engineer will report to the Agile Delivery Manager (ADM) and work in two-week sprints related to multiple initiatives.  The position is home-based and reports to the Raleigh, NC office on occasion.

Responsibilities:

• Design, build, and maintain systems infrastructure in the private data center and public cloud.
• Responsible for management of block and file storage arrays and SAN systems.
• Implementation and management of backup systems.
• Responsible for compute platform in multiple data centers.
• Automation of system processes, day-to-day tasks, and customer requests.
• Create and maintain processes and procedure documentation.
• Patch storage and compute systems for stability and increased security.
• Plan and refine technical initiatives.
• Manage disaster recovery for storage and compute and perform periodic readiness testing.
• Coordinate with vendors to maintain contracts and stay up to date with latest technologies.
• On-call rotation to resolve complex production issues involving compute, storage, or cloud infrastructure.

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster. 

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

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

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

Shift: Night Shift

The BI developer will be responsible for the development, delivery, and maintenance of business intelligence applications and solutions. The position will include ongoing project-based development work, the delivery of scheduled reports, ad-hoc report development and enhancements, and day-to-day support of existing applications and reporting solutions.

The BI Developer works in all phases of reporting application development including design, installation, configuration, physical and logical database design, performance tuning, writing stored procedures and triggers, maintaining security, troubleshooting, providing advanced support. The BI Developer will support multiple application environments.

Qualified candidates must be highly knowledgeable of design and administration best-practices. Extensive hands-on experience is required. We are looking for a person who can solve problems and work independently. The ability to translate user requirements into a design which facilitates user access/reporting is also critical.

• Perform analysis, design, development, and testing activities in support of enterprise reporting, Business Intelligence, and data analytics solutions across a wide range of business and operational functional areas
• Assist with the design, development, and deployment of next generation data warehouse and tools to support long term information delivery and data visualization needs.
• Build and administer Microsoft PowerBI pre-production environments,
• Own the development and ongoing maintenance/enhancements of business reporting systems
• Design, develop, test and implement scheduled report deliveries, utilizing automated delivery capabilities.
• Design, develop, test and implement scheduled data integration (ETL) deliveries.
• Write complex SQL queries to implement performant data integration and reporting solutions
• Focus on information/data quality by continuously evaluating data standards and data profiling
• Collaborate with Business Systems Analyst and Quality Assurance engineers to build compliant and quality solutions
• Provide operational support for new and existing BI and data warehouse components.
• Setup and maintain documentation and standards.
• Proactively identifies issues and concerns to management.
• Work as part of a team and provide 24x7 supports when required

Shift: Mid Shift

The Data Engineer III develops, implements, and maintains data & software solutions that enable business operations to realize company goals and objectives. The incumbent performs complete end to end SDLC including analysis (data analysis), design, coding, debugging, testing, and support of software applications. They will be assigned to develop new data integration and transformation, software applications/systems, enhance/upgrade existing systems or provide production support. They work independently on projects of increased scope and complexity.

• Design and implement ETL processes for data transformation and preparation
• Deploy machine learning models to production environments
• Manage data pipelines for analytics and operational use
• Ensure data accuracy and integrity across multiple sources and systems
• Work in an Agile software development team to deliver new data ETL solutions, software and to maintain and support past and future solutions
• Participate in Agile ceremonies and collaborate with the Agile Program Manager (APM), Digital Product Manager (DPM), Business Systems Analyst (BSA), Quality Assurance Analyst (QA) and other Developers to clarify and refine requirements/user stories
• Translate user stories into engineering artefacts and complete software development work, which includes application design, coding, code review and testing
• Keep team and APM apprised of progress
• Works with data & software development peers to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.
• Work on performance tuning, code optimisation, refactoring, automation and DevOps (CI/CD) implementation
• Offer suggestions to stakeholders on devising effective and efficient approaches to achieve business objectives
• Manage engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them
• Liaise with other teams to coordinate interdependencies and resolve issues
• Supports the resolution of in-depth user questions and production issues following support process and SLA’s
• Maintain a working knowledge of new technology and software engineering standards, practices and tools

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. 

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.

Shift Schedule: Night Shift

We are seeking a skilled Cloud Deployment Engineer to drive and manage cloud deployments in Azure and AWS, leveraging Infrastructure as Code (IaC) and automation. This role is central to our cloud transformation, supporting efficient and scalable solutions for our organization. The ideal candidate has experience in Azure and AWS cloud environments, a strong understanding of DevSecOps principles, and a strong passion for automation.

This role is committed to designing and engineering all supported systems in alignment with best practices and the well-architected framework, enhancing infrastructure reliability, security, and performance. This role is crucial in accelerating time to market, optimizing cloud adoption, and supporting the IT group’s goals of security, automation, and continuous improvement.

Description:

• Drives Cloud Deployments: Drive and manage cloud deployments in Azure and AWS, leveraging Infrastructure as Code (IaC) and automation.
• Builds and Operates Cloud-Native Systems: Works closely with engineering, architecture, and development teams to integrate software and systems engineering, building scalable, fault-tolerant, cloud-native systems delivered through DevOps.
• Optimizes deployments through Automation: Collaborates with Automation team to automate repetitive tasks, leverage monitoring and predictive alerting, and ensure key metrics are actionable and drive improvement.
• DevSecOps and Automation Platforms: Consume the organization’s DevSecOps and infrastructure automation platforms for deployment activities.
• Collaborates on Technology Strategy: Partners with Enterprise Architecture, Automation team to support deployments that support modern infrastructure engineering and development teams. The Cloud Deployment Engineer often prototypes new technologies, educating teams to accelerate cloud service adoption.
• Aligns with Business Objectives: Works toward business goals by defining required functionalities and managing resources to meet those needs effectively.

Responsibilities

• Cloud Deployments with IaC and Automation: Drives Azure and AWS deployments using Infrastructure as Code (IaC) tools such as Terraform, Terragrunt, ansible and more, ensuring effective consumption of IaC modules. Contributes to global IaC and engineering efforts across Arch by coordinating with Automation team to build/test/UAT automation to reduce waste, eliminate manual/repetitive tasks, prevent problem recurrence.
• Fosters a Cloud-Native Culture: Advocates for cloud-native practices by evaluating, recommending, and engineering cloud Platform as a Service (PaaS) solutions, maintaining a catalog of guidance and standards. Prioritizes cost and performance optimization in alignment with organizational goals.
• Leverage DevOps/DevSecOps Toolchains: Utilize DevOps and DevSecOps tools, CI/CD pipelines, automation, and Infrastructure as Code (IaC) scripts to deploy cloud services, with a focus on continuous evaluation of industry advancements. This role aims to accelerate speed to market and enhance the autonomy of delivery teams.
• Guides Engineers and Operations Teams: Provides expert guidance to engineering and operations teams on ensuring the end-to-end availability and performance of mission-critical services. Builds a resilient, low/no-downtime infrastructure through effective design and operational practices.
• Stays Current with Technology Trends: Actively tracks and evaluates emerging technologies to enhance network and application performance, strengthen security, and raise service levels. Leverages automation for the timely delivery of new and updated technology to support development, deployment, and runtime.
• Builds Cross-Functional Relationships: Strengthens relationships and partnerships with Enterprise Architecture, Automation and other key teams to enhance collaboration and streamline project deployments and execution.
• Infrastructure Deployments and Documentation: Document reference deployments and creates long-term plans to build, maintain, and improve IT infrastructure, ensuring resilience and minimal downtime.

Shift: Night Shift

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

Shift: Night Shift

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.

Shift: Night Shift

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 Systems Engineer III architects solutions, acts as a subject matter expert and provides ownership of data protection solutions.  The incumbent operates independently on complex assignments and cultivates highly successful relationships with our business units, technical implementation teams, management and vendors.  The Systems Engineer III ensures that all data are protected and provides clear reporting and alerting to demonstrate the success and reliability of the enterprise backup platform.

Responsibilities:

• Be a part of the storage and compute team with the primary responsibility to design, build and maintain the global data protection platform.
• Protect a variety of workloads including:
  • On-prem Linux & Windows VMs VMware and AHV/Nutanix.
  • Multi-protocol NAS workloads.
  • SaaS, M365, AD, SQLServer, Oracle, MongoDB, DB2.
  • Azure and AWS.
• Generation of reports, alerts and collaborate with server teams to remediate job failures and ensure backup compliance.
• Daily management of backup platform, jobs and remediate failed backup jobs.
• Architecting hybrid cloud solution as we migrate from on-premise data center to hybrid cloud (Azure, AWS and on-premise workloads).
• BCP/DR contingency planning, threat management.
• Manage DR replication and archiving jobs.
• ServiceNow integration for automated ticket generation and self-service.
• Manage Data Domain and VTL for BRMS/iSeries.
• Manage vendors for support escalations, contract administration, road mapping, etc.
• Leverage your compute and storage administration skills to assist other team members as needed.

• Incumbent may be asked to perform other duties as required.