Total 138 automation engineer job vacancies in The Philippines

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 real-time analytic 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 includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.

• Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering.

• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

This role will give you the opportunity to:

• Work in a key part in the insurance industry, Reinsurance. The domain knowledge you will gain is in high demand.
• Be a part of an International Team: Our team is spread across USA, Philippines, and India.  
• Work in Cloud: We are heavily invested in Cloud and only getting started.
• Automation: You’ll work on creating new processes and tools that will replace manual processes and add more value to business.

Our CI/CD Stack:
GitHub, GitHub actions, SonarQube, JFrog Xray, ArgoCD

Our QA Stack:
Selenium, Eclipse, Java.

Our Dev Stack:
.NET/SQL Server, Azure

• This role will give you the opportunity to:

  • Work in a key part in the insurance industry, Reinsurance. The domain knowledge you will gain is in high demand.
  • Be a part of an International Team: Our team is spread across USA, Philippines, and India. 

• Work in Cloud: We are heavily invested in SnowFlake Cloud and only getting started.
• Offers an opportunity to showcase Data Visualization strengths in SQL, Power BI and SSRS.
• Great opportunity to come in at the ground level and build out the BI team and structure within a large organization.

Our DB Stack:
.NET, Power BI, Cortex, SSRS, SQL Server, AKS, SnowFlake

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 (ie. Java,Java script, Python, 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.
• Test both front end and back end application using SQL (MSSQL)
• 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.

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. 

• Strong SQL
• 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

As an Informatica Specialist / Data Integrator, you will be responsible for maintaining existing Informatica jobs, reviewing for possible improvements to legacy Informatica workflows, and building new ETL processes to push/pull data from primarily SQL sources to target for the Enterprise Applications domain.  The individual will work closely with the Data Governance Group and Data Owners to ensure that data is extracted, transformed, and loaded correctly and completely.  The Informatica Specialist / Data Integrator will work closely with the IT product teams and developers to maintain compliance with the enterprise data architecture standards.  The individual will help establish tools and standards needed to deliver solutions that deliver agility and benefit to the business.  The successful candidate will be a data technology evangelist who is passionate about improving IT delivery through technology in a hands-on approach.  You will have to be up to date with the latest technology trends and capabilities and will be able to demonstrate a leadership mindset, solid operational experience, and the ability to problem-solve.  Travel of up to 5% will be required outside of the country.

• Maintain and update existing Informatica workflows
• Review current Informatica workflows and recommend / complete enhancements to enable them to run efficiently and effectively
• Create Extract / Translate / Load processes to push data from sources to target
• Ensure data integrity, security, and privacy of financial data
• Collaborate with stakeholders to understand their data requirements and ensure that the architecture meets those requirements
• Implement data governance policies and procedures
• Stay current on new technologies and trends in data management and evaluating potential solutions
• Communicate effectively with both the business and technical teams

This role will give you the opportunity to:

• Work in a key part in the insurance industry, Reinsurance. The domain knowledge you will gain is in high demand.
• Be a part of an International Team: Our team is spread across USA, Philippines, and India.  
• Work in Cloud: We are heavily invested in SnowFlake Cloud and only getting started.
• Automation: You’ll work on creating new processes and tools that will replace manual processes and add more value to business.

Our CI/CD Stack:
GitHub, GitHub actions, SonarQube, JFrog Xray, ArgoCD

Our QA Stack:
Selenium, Eclipse, Java.

Our Dev & DB Stack:
.NET/SQL Server, AKS, Azure, SnowFlake

Job Responsibilities:

• Work in Cloud: We are heavily invested in SnowFlake Cloud and only getting started.
• Automation: You’ll work on creating new processes and tools that will replace manual processes and add more value to business.

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

We’re seeking an Infrastructure Engineer who is ready and willing to work with new technologies.  The incumbent will become part of bench resources who will undergo minimal training before getting immersed into AMIS (Arch Managed Infrastructure Services) business unit to support global technology services and operations.

The roles of the Infrastructure Engineer include being responsible for designing, building, deploying, and maintaining the IT infrastructure of various Arch entities.  In addition, he/she may also support and develop specific platforms covering server and storage systems, networking, storage and applications hosted in hybrid environments.

• Installs, configures and supports new and existing servers and network infrastructure.
• Plan and implement upgrades needed to maintain service levels.
• Develop and lead the replacement of infrastructure at end of life.
• Conducts testing and analysis of all components of network and server infrastructure components.
• Monitoring network, server, and application performance and availability to ensure business needs are met satisfactorily.
• Performing system administration tasks such as installing operating systems and software applications on computers
• Configuring computers for optimal performance by installing applications, updating system settings, and troubleshooting problems
• Maintaining computer networks by troubleshooting software and hardware problems
• Managing security by installing operating systems patches and updates, configuring firewalls and intrusion detection systems, and reviewing logs for signs of unauthorized activity
• Providing technical support for computer systems by troubleshooting problems and recommending solutions

Please note that the initial schedule for this role is Philippines mid shift from 3pm to midnight while the new hire is undergoing training.  The shift will change depending on the needs of the team, so we need candidates that are open to working any shift (day, mid, night).

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 SQL experience, as well as monitoring and maintence 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 Databricks Notebooks and Azure Data Factory Pipelines
• Develop libraries using Python
• Develop batch data workflows for analytics-driven solutions
• Build analytical tools and expand capabilities to improve monitoring of predictive model applications and processes
• Use SQL, Python and Snowflake to explore and understand underlying data, and suggest improvements for monitoring, performance, and best practice
• Document technical workflows and monitoring processes
• Collaborate with project stakeholders and other developers
• Code deployment using GitHub
• Contribute and enforce evolving best standards and practices