Job Closed

This listing is no longer active.

Reinsurance Group of America logo
Reinsurance Group of America

Reinsurance Group of America, Incorporated (RGA), a Fortune 500 company, is among the leading global providers of life reinsurance and financial solutions, with approximately $3.5 trillion of life reinsurance in force and assets of $92.2 billion as of December 31, 2021. Founded in 1973, RGA today is recognized for its deep technical expertise in risk and capital management, innovative solutions, and commitment to serving its clients. With headquarters in St. Louis, Missouri, and operations around the world, RGA delivers expert solutions in individual life reinsurance, individual living benefits reinsurance, group reinsurance, health reinsurance, facultative underwriting, product development, and financial solutions. To learn more about RGA and its businesses, visit our website at www.rgare.com.

Lead QA Automation Engineer

QA Automation EngineerQA Automation EngineerFull TimeRemoteLeadTeam 3,164Since 1973

Location

United States

Posted

11 days ago

Salary

$107.1K - $159.4K / year

Seniority

Lead

No structured requirement data.

Job Description

Lead QA Automation Engineer

Reinsurance Group of America

Role Description Lead QA Automation Engineer drives end-to-end quality engineering for enterprise data products. This role will lead the design and implementation of scalable test automation frameworks, ensuring data quality, integrity, and reliability across complex data pipelines and platforms. The position will partner with product, engineering, and data teams to embed shift-left testing, establish automation standards, and deliver high-quality, production-ready data solutions. Principal Duties - Lead small-to-medium QA initiatives with manageable risks, defining detailed test strategies, automation plans, and execution roadmaps. - Collaborate with business and IT stakeholders to translate data requirements into testable scenarios, ensuring data quality, validation, and completeness across the data lake. - Design, develop, and maintain test automation frameworks and quality engineering architecture aligned with big data platforms. - Perform data testing and validation, including data models, pipelines, transformations, and repository/catalog verification. - Build and support automated processes to validate data ingestion from source systems into the data lake, ensuring accuracy and reliability. - Provide team leadership, mentoring QA engineers, driving best practices, and owning overall quality outcomes for the team. - Develop test coverage models, data validation schematics, and capacity-aware testing strategies. - Drive continuous improvement in test automation efficiency, data validation performance, and security validation. - Establish and implement quality metrics, KPIs, and monitoring frameworks for data testing and automation effectiveness. - Recommend and enforce QA standards, automation frameworks, and testing processes across data platforms. Qualifications - Bachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/experience - Required - Master’s degree in Arts/Sciences (MA/MS) - Preferred - 8+ years big data or relevant experience. Demonstrated ability to quickly learn new technologies - Required - 8+ years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes - Required - 4+ years of Data Analysis experience - Required Skills and Abilities - Demonstrated ability to lead QA teams, drive automation strategy, and influence cross-functional stakeholders - Required - Strong problem-solving and analytical skills with ability to validate complex data scenarios and communicate insights clearly - Required - Expertise in data testing (ETL, data pipelines, data lake validation, reconciliation) - Required - Proficiency in SQL and data validation techniques (data completeness, accuracy, lineage checks) - Required - Strong understanding of CI/CD pipelines and automation integration - Required - Experience validating data quality rules, transformations, and business logic across data layers - Required - Knowledge of data security, privacy (PII), and compliance validation - Required - Experience with API and integration testing (REST, JSON, data contracts) - Preferred - Hands-on experience with test automation frameworks (Playwright, Selenium, Cypress) for UI + data validation - Preferred - Experience working with big data platforms (Hive, Spark, NoSQL, data lake architectures) - Preferred - Experience with data warehouse / BI testing (report validation, dashboards, metrics reconciliation) - Preferred - Familiarity with cloud data platforms (Azure, AWS, Snowflake, Databricks) - Preferred - Exposure to data observability, monitoring, and quality frameworks - Preferred - Experience implementing test metrics, KPIs, and quality dashboards - Preferred - Knowledge of performance testing for data pipelines - Preferred Benefits - Gain valuable knowledge from and experience with diverse, caring colleagues around the world. - Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. - Join the bright and creative minds of RGA, and experience vast, endless career potential. - Compensation Range: $107,060.00 - $159,390.00 Annual - Annual bonus plan and eligibility for long-term equity incentive plan. - Full range of health, retirement, and other employee benefits.

Related Categories

Related Job Pages

More QA Automation Engineer Jobs

Full TimeRemoteTeam 5,001-10,000Since 1985H1B Sponsor

• Create and maintain structured technical content using DITA/XML in AEM Guides • Translate complex technical information into modular, reusable content components • Apply retrieval-aware authoring practices to improve content discoverability and reuse • Manage content lifecycle activities including versioning, publishing, archival, and retirement • Work with AEM Guides and AEM Sites for content authoring, publishing, and lifecycle management. • Define and maintain metadata, taxonomy, and classification frameworks across DAM systems • Develop Python-based automation for content processing, validation, and workflow optimization • Integrate API and LLM-based services to support content tagging, summarization, and retrieval • Support content ingestion and migration, ensuring structure and metadata alignment. • Ensure adherence to content governance, standards, and best practices. • Optimize content and metadata for search, retrieval, and reuse across DAM systems.

India
Modern Family Law logo

Document Automation, Integration Engineer

Modern Family Law

Modern Family Law: Compassionate, Innovative Legal Solutions in Colorado, California, Georgia, Texas and Washington.

Full TimeRemoteTeam 51-200Since 2004H1B No Sponsor

• Serve as the firm’s primary subject matter expert for document automation solutions, processes, and best practices. • Support the firm’s document automation strategy by providing recommendations on technologies, processes, workflow improvements, and scalable solutions. • Participate in the evaluation, implementation, and ongoing optimization of document automation platforms and related technologies. • Identify opportunities to improve efficiency, consistency, accuracy, and scalability through document automation. • Establish standards and best practices for automated document generation, template maintenance, and workflow management. • Design, configure, and maintain integrations between Salesforce, document automation platforms, document storage systems, and other business applications. • Build and support API-driven workflows for document generation, data synchronization, and process automation. • Configure and troubleshoot REST APIs, webhooks, authentication mechanisms, and integration end points. • Define and manage data mappings, transformation rules, validation logic, and synchronization processes across systems. • Collaborate with internal and external technology partners to implement and support integration solutions. • Monitor and resolve integration failures, API issues, data quality concerns, and workflow exceptions. • Design, build, test, and maintain automated document templates and workflows. • Translate legal, operational, and business requirements into scalable document automation solutions. • Develop and maintain complex document templates using conditional logic, calculations, dynamic content, and business rules. • Configure and manage document generation workflows to support legal and operational processes. • Perform testing, validation, and quality assurance to ensure document accuracy, reliability, and consistency. • Maintain and enhance a growing library of automated documents and templates. • Partner closely with attorneys, legal staff, operations leaders, and business stakeholders to understand document requirements, workflows, and business processes. • Collaborate with software developers, Salesforce administrators, and technology stakeholders to support effective integration between document automation platforms and Salesforce and other business systems. • Define data requirements, mapping needs, and workflow dependencies for document generation processes. • Assist with user training, adoption, troubleshooting, and ongoing support. • Document business processes, automation workflows, template logic, and system configurations. • Monitor system performance, adoption, and effectiveness. • Identify opportunities to streamline workflows, reduce manual effort, and improve the user experience. • Research emerging document automation technologies and industry best practices. • Recommend enhancements that improve efficiency, accuracy, scalability, and long-term maintainability.

Virginia
$105K - $115K / year
Job Closed
Modern Family Law logo

Document Automation Engineer

Modern Family Law

Modern Family Law: Compassionate, Innovative Legal Solutions in Colorado, California, Georgia, Texas and Washington.

Full TimeRemoteTeam 51-200Since 2004H1B No Sponsor

• Serve as the firm’s primary subject matter expert for document automation solutions, processes, and best practices. • Support the firm’s document automation strategy by providing recommendations on technologies, processes, workflow improvements, and scalable solutions. • Participate in the evaluation, implementation, and ongoing optimization of document automation platforms and related technologies. • Identify opportunities to improve efficiency, consistency, accuracy, and scalability through document automation. • Establish standards and best practices for automated document generation, template maintenance, and workflow management. • Design, configure, and maintain integrations between Salesforce, document automation platforms, document storage systems, and other business applications. • Build and support API-driven workflows for document generation, data synchronization, and process automation. • Configure and troubleshoot REST APIs, webhooks, authentication mechanisms, and integration end points. • Define and manage data mappings, transformation rules, validation logic, and synchronization processes across systems. • Collaborate with internal and external technology partners to implement and support integration solutions. • Monitor and resolve integration failures, API issues, data quality concerns, and workflow exceptions. • Design, build, test, and maintain automated document templates and workflows. • Translate legal, operational, and business requirements into scalable document automation solutions. • Develop and maintain complex document templates using conditional logic, calculations, dynamic content, and business rules. • Configure and manage document generation workflows to support legal and operational processes. • Perform testing, validation, and quality assurance to ensure document accuracy, reliability, and consistency. • Maintain and enhance a growing library of automated documents and templates. • Partner closely with attorneys, legal staff, operations leaders, and business stakeholders to understand document requirements, workflows, and business processes. • Collaborate with software developers, Salesforce administrators, and technology stakeholders to support effective integration between document automation platforms and Salesforce and other business systems. • Define data requirements, mapping needs, and workflow dependencies for document generation processes. • Assist with user training, adoption, troubleshooting, and ongoing support. • Document business processes, automation workflows, template logic, and system configurations. • Monitor system performance, adoption, and effectiveness. • Identify opportunities to streamline workflows, reduce manual effort, and improve the user experience. • Research emerging document automation technologies and industry best practices. • Recommend enhancements that improve efficiency, accuracy, scalability, and long-term maintainability.

Washington
$115K - $125K / year
Job Closed

Role Description The Senior QA Lead will oversee multiple QA teams across various projects, driving the overall testing strategy, automation frameworks, quality governance, and on-time delivery. This role requires strong leadership, deep hands-on expertise in test automation, and the ability to collaborate with cross-functional engineering and product teams to ensure high-quality product releases. Key Responsibilities - QA Leadership & Team Management - Lead, mentor, and manage multiple QA teams (manual, automation, performance). - Define roles, set performance goals, and conduct periodic performance evaluations. - Develop resource plans, allocate workload, and ensure optimal team productivity. - Build a high-performance QA culture focusing on ownership, accountability, and continuous improvement. - Test Strategy & Quality Governance - Define and implement end-to-end test strategies across projects. - Ensure consistent QA processes, standards, and best practices across all teams. - Establish quality metrics, dashboards, and reporting mechanisms for leadership. - Drive root-cause analysis and continuous quality improvement initiatives. - Automation Leadership - Architect, implement, and scale automation frameworks (UI, API, CI/CD integrated). - Evaluate emerging tools, technologies, and practices to enhance automation maturity. - Ensure the automation suite is robust, stable, and provides rapid feedback in CI/CD pipelines. - Set automation coverage targets and ensure continuous improvement of automation ROI. - Delivery & Release Management - Provide QA delivery ownership for all releases, ensuring zero-defect production rollouts. - Work with engineering, DevOps, and product management to align test execution with release timelines. - Track and communicate risks, blockers, and mitigation plans during delivery cycles. - Participate in release Go/No-Go decisions with clear quality insights. - Cross-Functional Collaboration - Work closely with development, DevOps, product, and business teams to ensure quality across SDLC. - Champion shift-left testing practices to detect defects early. - Align QA activities with Agile/Scrum processes across squads. - Documentation & Compliance - Ensure detailed documentation for test plans, test cases, automation scripts, and QA processes. - Ensure compliance with security, regulatory, and audit standards (as applicable). Company Description

Canada
Job Closed