Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

Reporting to the SVP of Engineering, the Lead Backend Software Engineer will lead the design, development, and maintenance of our innovative direct to consumer insurance product.  You will have responsibility for both learning the current code base and architecture as well as continuing to innovate by building out additional new products.  Besides our consumer product, you will also own our Broker Portal, Compliance Platform, and our Open API, as well as supporting both Android and iOS Apps.

This is role where you should be comfortable making engineering and architectural decisions, helping to build out a team of backend developers, being both a mentor to junior programmers as well as a hands-on producer, and working closely with both Product and Front-end engineers.

What You’ll Do: 

• Lead high-level decision making for software development; oversee the “big picture” software architecture
• Create architectural approaches for software design/implementation to guide development team
• Determine design choices based on technical standards (platforms, coding standards) by considering insurance business requirements/compliance regulations by state and carriers
• Use scalable computing systems/frameworks (Hadoop, elastic search)
• Perform software development/coding in multiple programming languages (node.js,
• Use cloud services (AWS, GCP, RDS, Athena, S3, kinesis, SQS, SNS)
• Use Docker containers and Kubernetes (automating deployment, scaling, and management of containerized applications)
• Coordinate with software architects and engineers to ensure all solutions/implementations follow correct standards
• Work with business representatives to discuss their custom software requirements; use tools and methodologies to create representations for functions and user interface of desired products
• Develop high-level product specifications with attention to system integration and feasibility
• Define all aspects of development from appropriate technology choices and workflow to coding standards
• Oversee progress of development team to ensure consistency with initial design
• Provide technical guidance and coaching to developers and engineers
• Ensure software meets all requirements (quality, security, modifiability, extensibility, etc.) and supervise others in performing their duties

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

This position works with Policy Services -  Correcting policies that need to changed, Data clean up issues, Debugging

Will be working closely with Bonie Sausa, training and shadowing him.

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

Data Clean Up

Correcting Policies

db script changes

Logging into Policies that need to be changed and making changes

Debugging

Scripting experience

Some Development experience

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

This position works with Policy Services -  Correcting policies that need to changed, Data clean up issues, Debugging

Will be working closely with Bonie Sausa, training and shadowing him.

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

Data Clean Up

Correcting Policies

db script changes

Logging into Policies that need to be changed and making changes

Debugging

Scripting experience

Some Development experience

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

Salary: P130,000 to P160,000 (Monthly Package)

Schedule: Monday – Friday  (09:00 AM - 06:00 PM EST)

What are we looking for?

Skills Required:

• Experience:
• Minimum of 3+ years of experience as a QA Engineer.

• Technical Skills:
• Proven experience as a QA Engineer, QA Tester, or similar role.

• Strong understanding of QA methodologies, tools, and processes.

• Hands-on experience with both white box and black box testing.

• Proficiency in writing clear, concise, and comprehensive test plans and test cases.

• 3+ years professional (post-academic) experience with automated testing tools and scripting languages (e.g., Python, JavaScript, Playwright, Puppeteer, etc).

• Familiarity with API testing tools (e.g., Postman, SoapUI).

• Experience with GitHub CI/CD pipelines.

• Experience with DBT (Data Build Tool) for data transformation.

• Strong SQL skills.

• Experience with monitoring tools such as Stackdriver and/or Datadog.

• Analytical Skills:
• Strong analytical and problem-solving skills.

• Ability to think critically and creatively to identify and solve issues.

• Experience with SQL and data validation techniques.

• Interpersonal Skills:
• Excellent communication skills, both written and verbal.

• Ability to work independently and manage multiple tasks simultaneously.

• Strong collaboration skills to work effectively with cross-functional teams.

• Availability:
• Flexible availability to support deployments during non-working hours

What will you do?

• Test Planning and Execution:
• Develop, document, and execute detailed test plans, test cases, and test scripts.

• Perform manual and automated testing on our platform, APIs, and data pipelines.

• Identify, record, document, and track bugs.

• Perform thorough regression testing when bugs are resolved.

• Liaison Duties:
• Serve as a bridge between internal employees and the engineering team.

• Gather feedback from internal testers and translate it into actionable tasks for developers.

• Communicate effectively with stakeholders regarding testing progress, issues, and results.

• Quality Assurance:
• Ensure the quality and reliability of new and existing features through systematic testing.

• Validate data integrity and accuracy in our data pipelines.

• Review and analyze system specifications to identify test requirements.

• Deployment Support:
• Support deployments, which occur during non-working hours, to ensure smooth transitions.

• Validate post-deployment functionality and performance.

• Collaborate with the engineering team to address any issues that arise during deployments.

• Continuous Improvement:
• Advocate for QA best practices within the engineering team.

• Stay up-to-date with industry trends and advancements in testing methodologies and tools.

• Identify areas for process improvement and implement solutions to enhance the QA process

Join the awesome team and enjoy these benefits & perks:

• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA 

JOIN CONNECTOS NOW!

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

Our Client is an advanced technology platform that provides growing companies, investors, and financial institutions access to a broad spectrum of curated data to enhance capital raising, M&A transactions, and other business opportunities.

#ConnectOS #ConnectOSCareers #TeamConnectOS

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.

The Software & 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. 

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 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

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

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

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

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

The Senior ServiceNow Developer is responsible for design, development, and unit testing of ServiceNow Catalog Items automation and integration solutions. The candidate will engage with Business Analyst and SME to perform detailed requirement analysis. The candidate will provide production implementation and post-production support for ServiceNow modules and features such as Catalog Items and other aspects of ServiceNow.

• Design, architecture, maintenance, and enhancement of Catalog items.
• Create and maintain the current state of the ServiceNow platform architecture documentation.
• Communicate and collaborate with non-technical stakeholders to gather requirements, analyze the impact of new requirements, and configure the new requirements on the ServiceNow platform as per ITIL best practices.
• Develop technical design documents.
• Create well-structured test plans and coordinate testing activities, identify, document, and track software defects. Perform and facilitate regression testing of resolved defects.
• Translate technical complexities to non-complex and simple terms for project stakeholders and make sure they understand the effects of the design decisions on the areas of ServiceNow Platform.
• Support ServiceNow upgrades planning and execution.
• Manage and actively contribute to development efforts pertaining to modules of the ServiceNow platform using JavaScript, including support for newly developed modules or major releases.
• Participate in the configuration and customizations, as needed, based on customer needs.
• Participate in and contribute to an agile-based work intake and output delivery process that will support service provision and delivery in an iterative manner.

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

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

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

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

Salary: P60,000 to P90,000 (Monthly Package)

Schedule: Monday – Friday (10:00 PM – 7:00 AM PHT)

What are we looking for?

Skills Required:

• At least 4+ years of experience on a similar role
• Expertise in investment principles, asset allocation and portfolio management.
• Background in banking and/or financial services industry
• Proficiency in Microsoft Office, especially Excel and PowerPoint.

Nice to Have:

• Familiarity with Excel VBA is a plus for tasks involving automation and streamlining coding processes.
• CFA

What will you do?

Client Reporting & Presentations:

• Draft and update client investment presentations, encompassing performance reports and market analysis.
• Maintain and update forecasting models for private investment portfolio.

Investment Database & Performance Monitoring:

• Manage the Private Investment Database, ensuring accurate cash flow reconciliation and asset value tracking.

Portfolio Analysis, Management & Modeling:

• Perform diagnostic analysis and create rebalancing plans on client portfolios and execute Monte Carlo simulations for risk assessment.

Investment Compliance & Operations:

• Ensure compliance with regulatory requirements, including AML/KYC.
• Coordinate with custodians for accurate cost basis reconciliation.
• Manage private investment subscriptions and account openings.

Join the awesome team and enjoy these benefits & perks:

• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

JOIN CONNECTOS NOW!

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

Our client, an American Financial Services company with over 39 years of expertise in delivering investment, financial advisory, and wealth management services, is gearing up to grow its team. They have delivered client-centric planning and sophisticated investment advice for the past four decades and is dedicated to serving client families worldwide and providing objective advice focused on our client's best interests.

#ConnectOS #ConnectOSCareers #TeamConnectOS

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.

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.