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

The position is responsible for operational support and management for operating system patching activities covering the global user workstation landscape.

This position will require deep analytical thinking with the ability to combine security related information from multiple data sources and using that data to determine deployment methods and timelines for software patches, registry updates, and other security related configurations.  The Engineer will work with business units to plan and coordinate the patching activities with a focus on minimizing business impact during the event and ensuring systems are returned to optimal state after patching activities have been completed.

In addition to patch management functions the team will also be responsible for the entire system lifecycle related to compliance which will include hardening for system builds, ongoing CIS standards, and compliance related configuration management.

This position will require working during business offer hours and weekends in order to minimize impact during the patching events.

• Develop and optimize pre- and post- patching process to ensure proper implementation without any outages.
• Evaluate patches based on risks and prioritize fixes in order to meet pre-determined deployment timelines for the patch risk level.
• Coordinate patch schedule with business units and other internal teams such as infrastructure management, security operations, governance & risk.
• Have the ability to create deployment patch packages using tools such as ManageEngine Patch Manager Plus, SCCM, WSUS, SolarWinds Patch Manager.
• Ensure patches are deployed and tested in pilot groups prior to full deployment to all user systems.
• Able to remediate vulnerabilities. Often, requiring fixes beyond system patches, which could include items like changing registry values, firewall changes, and other configuration items.
• Assist in the process for vulnerability and patch management ensuring they are compatible with the company's business needs and strategic objectives.
• Research, evaluate, develop, design and implement patch remediation standards following industry best practices
• Develop and implement patch and vulnerability remediation process including package creation, testing and deployment

Patching Administrators leveled up to Security Engineers focused on Vulnerability Management and Remediation.

A blend of Windows and Unix system engineering, patch deployment, vulnerability remediation, data analytics, and automation.

• Comptia Security Plus (Easy we study as a group)
• Excel Data Analysis
• Vulnerability Assessment & Remediation using Tenable SC and IO
• Enterprise Patching with Manage Engine EndPointCentral
   

Products we use

• Manage Engine End Point Central (Patching)
• Tenable sc & io (Vulnerabilities)
• Excel (DataAnalysis)
• Power BI (Reporting)
• Powershell\Python\Ansible\PowerAutomate (Automation)

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.

I. 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.
II. 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.
III. 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.
IV. 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

The Data 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.

Essential RESPONSIBILITIES and ACCOUNTABILITIES

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. 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.
3. Offers suggestions to stakeholders on devising effective and efficient approaches to achieve project and program objectives.
4. Manages engineering risks by proactively tracking and communicating issues, and devising methods to mitigating them.
5. Liaises with other project and program areas to coordinate interdependencies and resolve issues.
6. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
7. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
8. Provides input to APM/DPM in creation of Product Roadmap, High Level Estimates
9. Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates

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 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

Strategic Analytics is a growing team at Arch that designs and builds analytics and automation tools for users across Arch’s insurance operation. The team’s mission is to improve employee engagement, productivity, and responsiveness to facilitate growth. To be successful, we need create efficient business workflows that incorporate innovative technologies, such as: RPA, AI-powered intelligent document processing, data enrichment via third-party sources, and assisted decision making based on analytics.

As RPA Developer, you will play a crucial role in developing and establishing automation capabilities at Arch Insurance. You will support the RPA team with solution definition, build and implementation of RPA opportunities across Operations, Claims, Finance and Underwriting teams. This includes coordinating with Business SME’s and members of the Strategic Analytics (SA) team.

• Solution Development - building solutions in accordance with standard and internal design principles, conventions, and best practice using RPA
• Solution Design - working closely with the RPA Business Analyst as well as directly with business stakeholders to deeply understand the current state and design the most efficient and optimal to-be solution.
• Optimization - adopting continuous improvement mindset to all business processes
• Impact Analysis - awareness of how changes, including new or updated processes and automations will impact the business operations and customers.
• Maintain and demonstrate an up-to-date knowledge of toolsets used, industry software developments and best practice standards.
• Virtual Workforce Management – deploying automated processes in line with established Arch Change Control practices.
• Adhere to the RPA framework put in place, and ensuring status of all assigned tasks is regularly updated and all technical documentation is kept up to date
• Testing – working closely with the RPA Business Analyst authoring detailed business & technical testing scenarios and running System Integration Testing (SIT) and User Acceptance Testing (UAT)
• Initially support and maintain existing Live automations – including root cause analysis, clean-up and bug fixes, in line with established Arch Change Control practices.

We are looking for a Cloud Automation Engineer (Systems Engineer) that will be responsible for various build and maintenance tasks primarily within Azure and some AWS. 

They may be assigned tasks to build specific resources related to specific projects.  This engineer might also review the existing cloud resources for cleanup and cost saving opportunities.  They will also be assigned automation related work including building automation infrastructure, automating specific administration tasks and creating automations to be used by our customers.  We are also moving to an IaC model using TerraForm.

We are seeking a creative and detail-oriented Product Designer to join our team. As a Product Designer, you will play a crucial role in the product development process, from conceptualization to implementation. You will collaborate closely with cross-functional teams including product managers, engineers, and stakeholders to create user-centric designs that meet both user needs and business goals.

• Work closely with product managers and stakeholders to understand project requirements and user needs.
• Conduct user research, interviews, and usability tests to gather insights and validate design decisions.
• Translate user insights and business requirements into intuitive and visually appealing design concepts.
• Create wireframes, prototypes, and mockups to communicate design ideas and interactions.
• Collaborate with engineers to ensure the feasibility of design solutions and provide support during the implementation phase.
• Iterate on designs based on feedback from stakeholders, usability testing, and data analysis.
• Maintain design consistency and standards across products and platforms.
• Stay updated on industry trends, best practices, and emerging technologies in design and user experience.

We are seeking a Test Engineer to join our team who will be responsible for testing automation solutions built using UiPath and Alteryx. The ideal candidate will have a strong understanding of both tools and experience in software testing methodologies. 

• Design and develop test cases for automation workflows created in UiPath and Alteryx. 
• Execute test plans and scenarios for all functional areas of our products. 
• Identify, document, and track software defects found during testing. 
• Work closely with developers to ensure defects are correctly identified and fixed. 
• Perform regression testing when bugs are resolved. 
• Develop and apply testing processes for new and existing automation processes. 
• Liaise with internal teams (e.g., developers and business SMEs) to identify system requirements. 
• Investigate the causes of non-conforming software and train users to implement solutions. 
• Create Dashboards and reports to show testing status and results. 

We are seeking a skilled UiPath RPA Developer with experience in Intelligent Document Processing (IDP) and strong programming skills. The ideal candidate will be responsible for designing, developing, testing, and deploying RPA solutions, and ensuring the quality and functionality of these solutions. 

Responsibilities: 

• Design, develop, and test RPA solutions using UiPath to meet business needs. 
• Implement IDP solutions to automate document-centric processes. 
• Collaborate with stakeholders to understand and document process requirements and ensure that the RPA solutions meet these requirements. 
• Maintain and troubleshoot existing RPA solutions, and provide ongoing support as needed. 
• Stay up-to-date with the latest RPA and IDP trends and technologies, and provide recommendations for process and efficiency improvements. 

We are seeking a skilled UiPath RPA Developer with experience in Intelligent Document Processing (IDP) and strong programming skills. The ideal candidate will be responsible for designing, developing, testing, and deploying RPA solutions, and ensuring the quality and functionality of these solutions. 

Responsibilities: 

• Design, develop, and test RPA solutions using UiPath to meet business needs. 
• Implement IDP solutions to automate document-centric processes. 
• Collaborate with stakeholders to understand and document process requirements and ensure that the RPA solutions meet these requirements. 
• Maintain and troubleshoot existing RPA solutions, and provide ongoing support as needed. 
• Stay up-to-date with the latest RPA and IDP trends and technologies, and provide recommendations for process and efficiency improvements. 

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. Works with Senior Software Engineers 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. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
7. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
8. Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates.

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. Works with Senior Software Engineers 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. Supports business units in the resolution of in-depth user questions and issues following production support process and SLA’s.
7. Maintains a working knowledge of new technology and software engineering standards, practices and tools.
8. Collaborates with IT management to define and develop documentation & engineering artifact standards, guidelines, processes, and templates.

The QA Automation 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.

The QA Automation 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.

The QA Automation 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.

The QA Automation 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.

The QA Automation 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.

The QA Automation 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.

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

Plan, deploy, upgrade, migrate, and troubleshoot DB2 system

·       Ensure proper configuration and tuning of database system

·       Ensure successful backup and disaster recovery processes for database system

·       Perform restores as needed

·       Configure automated database deployment

·       Interface with the development team to aid in design and development tasks

Bachelor's degree or equivalent experience

·       with at least 3+ years' administering IBM DB2 on Unix/Linux operating systems

·       Proficient in IBM AIX , Unix and Power environment

·       Fluent in DB2 programming language

·       Proficient in database design and development

·       Experience in performance tuning and optimization

·       Knowledge of backup and recovery procedures

·       Excellent communication and interpersonal skills

·       Analytical and problem-solving skills

·       Ability to work well under pressure and meet deadlines

·       Attention to detail and accuracy

·       Flexibility and willingness to learn and adapt

The Job

In this role, you will transform proof-of-concept AI/ML projects into full-scale production applications. You will leverage your software development, data and foundational AI/ML knowledge to develop robust, scalable solutions that enhance our services and drive QIMA towards further excellence.

If you love working on the practical application of AI/ML, transforming innovative ideas into reliable systems, and collaborating with cross-functional and international teams, we invite you to be a key player in our team's success!

Key Responsibilities:

• AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
• Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
• Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
• System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
• Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
• Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
• Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
• Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting post-implementation follow-up to support users and address any issues.

The Software Engineer III 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.

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.