Total 91 reservoir engineer job vacancies in taguig national capital region

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.

Shift Assignment: Night Shift

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.

Shift Assignment: Night Shift

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.

Shift Assignment: Night Shift

The Senior Software Engineer 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 Assignment: Night Shift

We are looking for an experienced Data Engineer to join our team. The ideal candidate will have expertise in the Azure Data Factory (ADF), Databricks, SQL and data warehouse concepts. In this role, you will be responsible for creating, maintaining, and optimizing data pipelines and processes, building and deploying data models, and ensuring data integrity.

• Responsibilities

  • Design and develop data pipelines/processes using ADF, Databricks, and SQL.
  • Design and develop data models to support business requirements.
  • Analyze and optimize data pipelines and data models.
  • Monitor data pipelines, data models, and data integrity.
  • Work closely with other teams to ensure data quality and accuracy.
  • Implement best practices for data security and privacy.
  • Troubleshoot data-related issues.

Shift Assignment: Mid Shift

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

Shift Assignment: Mid Shift

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

Shift Assignment: Night Shift

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

Shift Assignment: Mid Shift

The Site Reliability Engineer (Systems Engineer) works In the Infrastructure Operations team and closely Interacts with development, cloud platform engineering and architecture teams to run and operate cloud-native, DevOps delivered, highly scalable and fault tolerant systems and services. The SRE Engineer ensures that internally and externally facing systems meet and exceed ambitious SLOs (Service Level Objectives) and are continuously improved. This includes deployments and monitoring of all systems through established tools. The incumbent is an intellectually curious passionate technologist up to date with technology trends in the industry, equally relishing challenges to optimize existing systems and services, and challenges to introduce modern technologies. They will execute, monitor, and assist in the continuous improvement of the operational running of our services. The incumbent will execute operations and engineering projects and provide support for and administration of all DevSecOps tools, cloud automation, critical business applications and platforms, and associated systems to build and run software in the cloud.

• Provides guidance to engineering and operations teams on enabling and managing end to end availability and performance of mission critical services.
• Executes established automation for
• Participates in incident response, root cause/postmortem analysis, and drives production improvements for key issues that result in business opportunity for Arch.
• Works on building configuration automation to eliminate waste and manual/repetitive tasks, prevent problem recurrence, and to respond to various service alerts and condition metrics.
• Supports Kubernetes deployments in Azure, including cluster management, upgrades, security policies, application deployment with Argo CD using git and harness pipelines to deploy in collaboration with engineering and development teams.
• Supports DevSecOps tools, pipeline, automation, and infrastructure-as-code scripts and continuously monitors the industry landscape to improve and expand to further speed to market and delivery team autonomy.
• Knows security is job one and includes security in all plans.
• Implements, executes and manages Configuration as Code automation
• Executes tasks aligned to projects in the operations space (upgrades, rollouts of technology, )
• Promotes a continuous improvement, innovation, and collaboration culture across
• Builds and strengthens relationships and partnerships with corporate infrastructure leads and
• Perform other operational duties as required.

Shift Assignment: Mid Shift

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

Shift Assignment: Mid Shift

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 Assignment: Mid Shift

The Data Visualization Developer 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.

• Provide expertise in design, development and implementation of PowerBI reports
• Design, model and develop BI reporting and analysis applications
• Provide functional and technical guidance to business teams when needed
• Conduct meetings with business users to determine project requirements and milestones
• Develop knowledge on business intelligence skills and processes
• Develop best practices to achieve project objectives and deliverables
• Develop positive working relationship with business users and other department staff
• Stay updated with ongoing business development tools
• Responsible for any other ad hoc duties assigned

Shift assignment: Mid Shift

The Software Engineer is responsible for the development, implementation and maintenance of solutions within the General Insurance Team. Working within an Agile environment the ideal candidate will be skilled in C#, HTML/CSS, Javascript, SQL (Microsoft and/or Snowflake SQL). Experience of Angular or other web frontend frameworks is nice to have.

The candidate will perform analysis, design, coding, debugging, testing, and support of solutions, utilising innovative applications in DevOps projects, models for complex systems and Enterprise integration.

The candidate will also be responsible for developing and maintaining web applications, API’s and ensure code is developed/maintained configured using the various build tools available from DevOps.

• Design, develop and maintain scalable, automated, derived / or non-derived, insightful data-marts and tables which will be the main input for the models, reports and dashboards
• Working within an Agile environment, within 3-week sprints, delivering quality code or data enhancements and reports for different departments.
• From User Stories, look to provide accurate and timely data, that is trusted and understood by the business.
• Obtaining, transforming and maintaining large quantities of data.
• Solving data quality issues, providing data lineage from source.
• Focus on building and improving a web based application in asp.net and design innovative solutions using .Net.
• Utilising the full Microsoft stack, enable the end user to fully understand the data delivered that allows full transparency back to the various source systems.
• Document all changes that have taken place, including commentary within the source code.
• Keep team and APM apprised of progress
• Coordinate with APM and Enterprise Architect to adhere to Enterprise Architecture principles, software development best practices, coding, compliance and security standards
• Work on performance tuning, code optimisation, refactoring, automation and 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
• Provide input to the APM and DPM for the creation of Product Roadmap and High Level Estimates
• Review code, designs and other technical documentation prepared by other members of the team.
• Provide tech leadership and guidance to junior members of the team.
• Collaborate with IT management to define and develop documentation and engineering artefact standards, guidelines, processes, and templates
• Positive and self-motivated with a high level of enthusiasm and willingness to learn and self-teach new and advance software functions

Shift assignment: Night Shift

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.

1. Soft Skills

• 1. Ability to work well under pressure.
• 2. Ability to work well with others.
• 3. Ability to be flexible and adapt to changes quickly.

2. System Analysis

• 1. Learns and maintains knowledge of the business applications for the products being tested.
• 2. Follows software testing corporate standards.
• 3. Keeps stakeholders updated with testing status.
• 4. Maintains test scenarios and test cases.

3. Test Planning and Execution

• 1. Performs test planning activities as required.
• 2. Creates and modifies test cases.
• 3. Creates and modifies test data.
• 4. Executes test cases and records results in test management system.
• 5. Automation Testing – Set up and maintain automation tests and be involved with CI CD.

4. Defect Management

• 1. Identifies software defects.
• 2. Creates and manages assigned defects in defect management system.
• 3. Determines defect severity based upon corporate standards.
• 4. Works with Agile team and stakeholders to communicate defect information.
• 5. Retests defect when issue has been resolved.
• 6. Provides additional documentation to software engineers as required

Shift Assignment: Mid Shift

Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This primarily includes working Azure Logic Apps and Document Intelligence. As a key member of the Strategic Analytics team, you will support the implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams. 

• Develop and maintain Azure Logic Apps and APIs
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for monitoring, performance, and best practices
• Develop libraries using Python
• Develop real time data transformations, model variable creation, and orchestration activities to support the scoring process
• Code deployment using GitHub
• Collaborate with project stakeholders and other developers
• Collaborate with data scientists to implement predictive models and analytic solutions
• Document technical workflows and monitoring processes
• Contribute and enforce evolving best standards and practices

Shift Assignment: Mid Shift

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 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

Shift Assignment: Night 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 engineer will build, deploy or fine-tune Microsoft Azure and AWS services for internal customers around the globe. The engineer will also build, deploy and maintain compute and storage platforms in our on-premise data centers.

• Build and maintain systems infrastructure in the private data center and public cloud.
• Migrate services from private data centers to public cloud.
• Design and implement a variety of Azure-based solutions using cloud automation
frameworks (Terraform, GitHub) and manually.
• Responsible for compute, storage, and data protection platforms in multiple data centers.
• Automation of system processes, day-to-day tasks, and customer requests.
• Patch storage and compute systems for stability and increased security.

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