Summary: We re looking for a Senior QA Engineer to lead quality efforts across our software development lifecycle. You ll design and execute test strategies, implement automation, and ensure the delivery of high-quality, reliable software. Responsibilities: Create and maintain test plans, cases, and automated scripts. Perform functional, regression, integration, and performance testing. Collaborate with cross-functional teams to understand business requirements and ensure test coverage. Track and manage bugs to resolution. Requirements: 5+ years in QA or software testing. Experience in Automation. Proficient in scripting (Python, JavaScript, or similar). Familiar with REST API testing and CI/CD pipelines. Strong analytical and communication skills. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Summary: We’re looking for a Senior QA Engineer to lead quality efforts across our software development lifecycle. You’ll design and execute test strategies, implement automation, and ensure the delivery of high-quality, reliable software. Responsibilities: Create and maintain test plans, cases, and automated scripts. Perform functional, regression, integration, and performance testing. Collaborate with cross-functional teams to understand business requirements and ensure test coverage. Track and manage bugs to resolution. Requirements: 5+ years in QA or software testing. Experience in Automation. Proficient in scripting (Python, JavaScript, or similar). Familiar with REST API testing and CI/CD pipelines. Strong analytical and communication skills. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Who Are We? We re not just a company; we re a global force. Fiercely committed to ensuring that everyone, everywhere, can live their lives digitally safe. Our family of brands - Norton, Avast, LifeLock, Avira, AVG, ReputationDefender and CCleaner - unite the brightest minds, the sharpest tech and the most diverse thinking to protect over 500 million people . And we ve built an inclusive workplace, where your well-being is a priority because true success comes from a place of balance and authenticity. When youre thriving, you re unstoppable. So, bring us your bold ideas and passion that refuses to quit. The digital world isn t some distant reality - its the world we live in, and we re ready for it. If you re ready to push boundaries and be part of something bigger, join #TeamGen. How W e W ork? We love to work together and collaborate in our teams, which is why we opted for a hybrid model, allowing us to work from the office 2-3 times per week Mission and Goals We are seeking a talented and experienced Sr. Software Engineer to join our dynamic backend development team. You will be instrumental in designing, developing, deploying, and maintaining our event-driven microservices architecture using Java, Spring framework, Apache Kafka, AWS cloud technologies, NoSQL databases, CI/CD pipelines, and Agile methodologies (Scrum). Objectives * Design, develop, and implement scalable, secure, and high-performing backend microservices using Java and Spring framework. * Utilize Apache Kafka as a distributed streaming platform to facilitate asynchronous communication between microservices. * Leverage AWS cloud services (EC2/ECS, MSK, S3, DocDB, DynamoDB, Lambda, etc.) to build and deploy microservices infrastructure in a secure and scalable manner. * Work effectively with NoSQL databases (e.g., MongoDB, DynamoDB, Cassandra) for efficient data storage and retrieval tailored to microservice needs. * Implement robust CI/CD pipelines using tools like Teamcity or GitLab CI/CD to automate the build, test, and deployment process for microservices. * Collaborate closely with cross-functional teams (product, front-end, QA) to ensure seamless integration and delivery of microservices. * Participate in the entire software development lifecycle, from requirements gathering to deployment and ongoing maintenance. * Write clean, well-documented, and maintainable code adhering to best practices for microservices development. * Conduct unit and integration testing to guarantee code quality and functionality within the microservices architecture. * Participate in code reviews and provide constructive feedback to colleagues. * Stay up to date with the latest advancements in Java, Spring, Kafka, AWS cloud technologies, NoSQL databases, CI/CD tools, and Agile methodologies. Competencies * Bachelors degree/master s degree in computer science, Information Technology, or a related field (or equivalent experience). * 5+ years of experience as a software engineer with a strong foundation in Java and object-oriented programming principles. * Experience with Spring framework (Spring Boot preferred). * Solid understanding of event-driven architecture principles and experience implementing them using Apache Kafka. * Experience working with AWS cloud services (EC2/ECS, S3, DynamoDB, Lambda preferred). * Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). * Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI/CD). * Understanding of Agile methodologies (Scrum) and its principles. * Excellent problem-solving and analytical skills. * Strong communication and collaboration skills. * Ability to work independently and as part of a team. * Experience in unit testing and integration testing methodologies. * A passion for learning and staying current with new technologies. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Position Overview We are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platform's strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users. Essential Qualifications (All Required) Bachelor's degree in Computer Science, Data Engineering, or related technical field (Master's degree preferred) Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance Proven ability to architect and own multiple entire areas of the codebase or services independently Advanced Technical Requirements Expertise with Apache Kafka, real-time data processing, and event-driven architectures Experience with Apache Iceberg, data lakehouse architectures, and modern table formats Demonstrated expertise in cloud cost optimization and data warehouse performance tuning Desired Qualifications Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus. Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day) Key Responsibilities Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation. Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics Collaborate with executives and senior leadership to align data architecture with business strategy Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Position Overview We are seeking an experienced Senior Data Engineer to serve as a technical leader responsible for architecting systems within your team's domain and driving complex, cross-team projects that directly support our cybersecurity platform's strategic objectives. This role requires someone who can architect systems within your team's domain, reasonably be expected to come up with and drive the projects that your crew should do to solve complex business problems, and actively mentor other engineers. As a Senior Data Engineer, you will fully understand and own multiple entire areas of the codebase or multiple services, work with your Manager or a Technical Director to validate your technical decisions when you ask for input, and contribute significantly to our data engineering practices and standards. Essential Qualifications (All Required) Bachelor's degree in Computer Science, Data Engineering, or related technical field (Master's degree preferred) Minimum 6-10 years of hands-on data engineering experience in large-scale, high-volume environments Expert proficiency in at least one of SQL and Python, with strong understanding of the other Extensive experience with Snowflake architecture, optimization, and performance tuning Demonstrated experience building Kimball dimensional data warehouses and star schema architectures Strong AWS cloud infrastructure experience with focus on data operations Production experience with either DBT or SQLMesh for data transformation workflows Experience with CI/CD pipelines, GitFlow/trunk-based development, and data governance frameworks Knowledge of compliance requirements (GDPR, PCI-DSS) in data systems Proven ability to architect systems that are within your team's domain on your own Advanced Technical Requirements Streaming & Real-time Processing: Experience with Apache Kafka, event-driven architectures, and real-time analytics pipelines Modern Data Architecture: Familiarity with Apache Iceberg, data lakehouse architectures, and modern table formats Performance Optimization: Experience with data warehouse performance tuning and cost optimization practices Domain Expertise (Preferred) Subscription Business Models: Experience with cohort analysis, LTV calculations, churn prediction, or marketing attribution frameworks High-Volume Industries: Experience in cybersecurity, ad-tech, fintech, or similar industries processing large volumes of data Complex Analytics: Experience building feature usage analytics, behavioral analysis, or executive reporting systems Key Responsibilities Technical Leadership & Project Ownership Cross-Team Projects: Lead projects that cross teams, actively working with your Manager to set the technical vision for your team Problem Solving: Be handed a problem and reasonably be expected to come up with and drive the projects that your crew should do to solve that problem System Architecture: Architect systems that are within your team's domain, with guidance from Manager or Technical Director when needed Implementation & Development Domain Ownership: Fully understand and own multiple entire areas of the codebase or multiple services Technology Integration: Lead evaluation and implementation of new technologies that benefit your team's domain Quality Standards: Ensure all work meets our high-quality pull request standards and follows established engineering processes Collaboration & Mentoring Cross-Functional Collaboration: Collaborate across teams inside the Data Engineering org, represent your team as needed, and reach out to external stakeholders for clarifications Mentoring: Actively mentor IC7s and IC8s, focusing on adopting our processes, technical knowledge, and quality of execution Stakeholder Engagement: Work with engineers in the rest of Gen to help move the org forward Quantifiable Performance Expectations Technical Output: Minimum 4+ PRs per week (GitFlow) or 6+ PRs per week (Trunk-based development) Code Reviews: 2+ comprehensive reviews per day from anyone in the areas/services you contribute to Documentation: Author at least 1+ RFC or Tech Spec per year that demonstrates technical leadership Meeting Efficiency: No more than 15% of work hours spent in meetings to maintain focus on technical work Deployments: Routinely deploy to production with appropriate oversight and process adherence Technical Competency Expectations Domain Knowledge: Extremely knowledgeable in your domains and able to almost always help anyone coming to you with technical questions Development Skills: Expert in at least one of SQL and Python, with strong understanding of the other enough to be an effective IC10 Process Excellence: Very reliably follow our processes with code that only requires revisions for architectural reasons Architecture Understanding: Contribute to the architecture of systems within your team's domain Collaboration: Collaborate across teams inside the Data Engineering org and represent your team to external stakeholders when needed Career Impact & Growth This role represents a senior individual contributor position within our Data Engineering organization where you'll have the opportunity to: Lead Technical Projects: Drive complex, cross-team initiatives that solve important business problems Mentor Junior Engineers: Help develop the next generation of data engineering talent through active mentoring Shape Team Standards: Contribute to establishing and maintaining high engineering standards within your domain Solve Complex Problems: Work on challenging technical problems that require deep expertise and creative solutions Collaborate Across Teams: Build relationships and work effectively with stakeholders across the Data Engineering organization This position is ideal for an experienced data engineering professional who wants to take on significant technical leadership responsibilities, enjoys mentoring others, and thrives on solving complex data challenges in a high-growth cybersecurity environment. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
In this role as a Full stack Web Development and Design Specialist, you will design, define and architect high-performance, cloud-hosted applications that seamlessly integrate cutting-edge backend and frontend technologies This role will demand for designing secure APIs and robust web services and microservices will ensure smooth integration across diverse systems The role is expected to create intuitive user interfaces that guarantee functionality and responsiveness, optimizing for all mobile devices Collaborating closely with all stakeholders, the role will define and develop world-class, reusable user experience interactions that enhance usability and delight users Objectives Advanced Problem-Solving Apply deep knowledge of data structures, algorithms, and design patterns to build robust solutions. Architecture, Design & Development Lead the design and implementation of high-performing, cloud-hosted web applications across the full stack. Secure API & Microservices Development Develop and maintain secure, scalable APIs, web services, and microservices for complex integrations. System Integration Build seamless interfaces that work effectively with heterogeneous systems and external services. Performance & Responsiveness Ensure applications are optimized for speed, scalability, and cross-platform compatibility, including mobile. UX Collaboration Work closely with UX/UI teams to create reusable, intuitive, and engaging user experiences. Code Quality & Testing Write clean, modular, and maintainable code, complemented by comprehensive unit, integration, and functional tests. Debugging & Productivity Tools Troubleshoot complex issues, resolve defects efficiently, and develop internal tools to enhance team productivity. Competencies Full stack web developer with 9 -12 years of experience in Web application Design and development. Primary Skills: Strong expertise in Python web development with Django (including Django REST Framework) Proficiency in Scala or Java for backend and enterprise application development Expertise in SQL and BigQuery for data querying, analytics, and reporting Strong understanding of HTML5, CSS3, Bootstrap for building responsive user interfaces when required Solid understanding of cloud computing (AWS, Azure, or GCP) and deployment best practices Secondary Skills: AI-Driven Development Proficient in leveraging AI-powered tools and platforms to enhance productivity, code quality, and design innovation, including: Code Generation & Assistance : GitHub Copilot, ChatGPT, Tabnine Automated Testing & Debugging : CodiumAI, Testim.io Design & Prototyping : Figma AI, Uizard Data-Driven Insights : OpenAI API, LangChain, Hugging Face Transformers DevOps Automation : AIOps tools for monitoring, CI/CD optimization, and anomaly detection Experience with test automation frameworks (e.g., Selenium, Playwright , Pytest, NUnit) Familiarity with DevOps tools (Docker, Splunk, Azure DevOps, AWS, TeamCity) Exposure to cloud-native application development and CI/CD best practices
In this role as a Full stack Web Development and Design Specialist, you will design, define and architect high-performance, cloud-hosted applications that seamlessly integrate cutting-edge backend and frontend technologies. This role will demand for designing secure APIs and robust web services and microservices will ensure smooth integration across diverse systems. The role is expected to create intuitive user interfaces that guarantee functionality and responsiveness, optimizing for all mobile devices. Collaborating closely with all stakeholders, the role will define and develop world-class, reusable user experience interactions that enhance usability and delight users. Objectives Advanced Problem-Solving Apply deep knowledge of data structures, algorithms, and design patterns to build robust solutions. Architecture, Design & Development Lead the design and implementation of high-performing, cloud-hosted web applications across the full stack. Secure API & Microservices Development Develop and maintain secure, scalable APIs, web services, and microservices for complex integrations. System Integration Build seamless interfaces that work effectively with heterogeneous systems and external services. Performance & Responsiveness Ensure applications are optimized for speed, scalability, and cross-platform compatibility, including mobile. UX Collaboration Work closely with UX/UI teams to create reusable, intuitive, and engaging user experiences. Code Quality & Testing Write clean, modular, and maintainable code, complemented by comprehensive unit, integration, and functional tests. Debugging & Productivity Tools Troubleshoot complex issues, resolve defects efficiently, and develop internal tools to enhance team productivity. Competencies Full-stack web developer with 9 -12 years of experience in Web application Design and development. Primary Skills: Strong proficiency in modern web frameworks such as React or Angular Expertise in TypeScript and C# for backend development Secondary Skills: AI-Driven Development Proficient in leveraging AI-powered tools and platforms to enhance productivity, code quality, and design innovation, including: Code Generation & Assistance: GitHub Copilot, ChatGPT, cursor Automated Testing & Debugging: CodiumAI, Testim.io Design & Prototyping: Figma AI, Uizard Data-Driven Insights: OpenAI API, LangChain DevOps Automation: AIOps tools for monitoring, CI/CD optimization, and anomaly detection Experience with test automation frameworks (e.g., Selenium, Playwright ,NUnit) Familiarity with DevOps tools (Docker, Splunk, Azure DevOps, AWS, TeamCity) Exposure to cloud-native application development and CI/CD best practices Solid understanding of cloud computing (AWS, Azure, or GCP) Strong command of HTML5, CSS3, Bootstrap for responsive UI development
Position Overview We are seeking an experienced Senior Data Engineer to serve as a technical leader responsible for architecting systems within your teams domain and driving complex, cross-team projects that directly support our cybersecurity platforms strategic objectives. This role requires someone who can architect systems within your teams domain, reasonably be expected to come up with and drive the projects that your crew should do to solve complex business problems, and actively mentor other engineers. As a Senior Data Engineer, you will fully understand and own multiple entire areas of the codebase or multiple services, work with your Manager or a Technical Director to validate your technical decisions when you ask for input, and contribute significantly to our data engineering practices and standards. Essential Qualifications (All Required) Bachelors degree in Computer Science, Data Engineering, or related technical field (Masters degree preferred) Minimum 6-10 years of hands-on data engineering experience in large-scale, high-volume environments Expert proficiency in at least one of SQL and Python, with strong understanding of the other Extensive experience with Snowflake architecture, optimization, and performance tuning Demonstrated experience building Kimball dimensional data warehouses and star schema architectures Strong AWS cloud infrastructure experience with focus on data operations Production experience with either DBT or SQLMesh for data transformation workflows Experience with CI/CD pipelines, GitFlow/trunk-based development, and data governance frameworks Knowledge of compliance requirements (GDPR, PCI-DSS) in data systems Proven ability to architect systems that are within your teams domain on your own Advanced Technical Requirements Streaming & Real-time Processing: Experience with Apache Kafka, event-driven architectures, and real-time analytics pipelines Modern Data Architecture: Familiarity with Apache Iceberg, data lakehouse architectures, and modern table formats Performance Optimization: Experience with data warehouse performance tuning and cost optimization practices Domain Expertise (Preferred) Subscription Business Models: Experience with cohort analysis, LTV calculations, churn prediction, or marketing attribution frameworks High-Volume Industries: Experience in cybersecurity, ad-tech, fintech, or similar industries processing large volumes of data Complex Analytics: Experience building feature usage analytics, behavioral analysis, or executive reporting systems Key Responsibilities Technical Leadership & Project Ownership Cross-Team Projects: Lead projects that cross teams, actively working with your Manager to set the technical vision for your team Problem Solving: Be handed a problem and reasonably be expected to come up with and drive the projects that your crew should do to solve that problem System Architecture: Architect systems that are within your teams domain, with guidance from Manager or Technical Director when needed Implementation & Development Domain Ownership: Fully understand and own multiple entire areas of the codebase or multiple services Technology Integration: Lead evaluation and implementation of new technologies that benefit your teams domain Quality Standards: Ensure all work meets our high-quality pull request standards and follows established engineering processes Collaboration & Mentoring Cross-Functional Collaboration: Collaborate across teams inside the Data Engineering org, represent your team as needed, and reach out to external stakeholders for clarifications Mentoring: Actively mentor IC7s and IC8s, focusing on adopting our processes, technical knowledge, and quality of execution Stakeholder Engagement: Work with engineers in the rest of Gen to help move the org forward Quantifiable Performance Expectations Technical Output: Minimum 4+ PRs per week (GitFlow) or 6+ PRs per week (Trunk-based development) Code Reviews: 2+ comprehensive reviews per day from anyone in the areas/services you contribute to Documentation: Author at least 1+ RFC or Tech Spec per year that demonstrates technical leadership Meeting Efficiency: No more than 15% of work hours spent in meetings to maintain focus on technical work Deployments: Routinely deploy to production with appropriate oversight and process adherence Technical Competency Expectations Domain Knowledge: Extremely knowledgeable in your domains and able to almost always help anyone coming to you with technical questions Development Skills: Expert in at least one of SQL and Python, with strong understanding of the other enough to be an effective IC10 Process Excellence: Very reliably follow our processes with code that only requires revisions for architectural reasons Architecture Understanding: Contribute to the architecture of systems within your teams domain Collaboration: Collaborate across teams inside the Data Engineering org and represent your team to external stakeholders when needed Career Impact & Growth This role represents a senior individual contributor position within our Data Engineering organization where youll have the opportunity to: Lead Technical Projects: Drive complex, cross-team initiatives that solve important business problems Mentor Junior Engineers: Help develop the next generation of data engineering talent through active mentoring Shape Team Standards: Contribute to establishing and maintaining high engineering standards within your domain Solve Complex Problems: Work on challenging technical problems that require deep expertise and creative solutions Collaborate Across Teams: Build relationships and work effectively with stakeholders across the Data Engineering organization This position is ideal for an experienced data engineering professional who wants to take on significant technical leadership responsibilities, enjoys mentoring others, and thrives on solving complex data challenges in a high-growth cybersecurity environment. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Position Overview We are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platforms strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users. Essential Qualifications (All Required) Bachelors degree in Computer Science, Data Engineering, or related technical field (Masters degree preferred) Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance Proven ability to architect and own multiple entire areas of the codebase or services independently Advanced Technical Requirements Expertise with Apache Kafka, real-time data processing, and event-driven architectures Experience with Apache Iceberg, data lakehouse architectures, and modern table formats Demonstrated expertise in cloud cost optimization and data warehouse performance tuning Desired Qualifications Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus. Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day) Key Responsibilities Design and architect enterprise-scale data solutions that directly impact Gens data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation. Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics Collaborate with executives and senior leadership to align data architecture with business strategy Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale. Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
We re more than just a company; we re a global leader in digital safety. With a strong commitment to ensuring that everyone can navigate the digital world securely, we unite the best minds and cutting-edge technology through our family of brands: Norton, Avast, LifeLock, Avira, AVG, ReputationDefender, and CCleaner. Together, we protect over 500 million people worldwide. Our workplace is built on inclusivity, where your well-being is a top priority. We believe success comes from balance and authenticity. When youre thriving, youre unstoppable. So, bring your bold ideas and unstoppable drive, and join us in shaping the digital world. Ready to make an impactJoin #TeamGen. How We Work Our hybrid work model (3 days in the office) gives us the face-to-face time to have creative conversations, meaningful meetings, make quick decisions, and build relationships. At the same time, it offers flexibility you need to focus and do your best work. Mission and Goals We are seeking a Senior Software Engineer specializing in Google Analytics 4 (GA4) and Google Tag Manager (GTM) implementations to join our cybersecurity company. In this role, you will be responsible for architecting, developing, and maintaining robust tracking solutions that deliver reliable data for business intelligence and marketing purposes. As the technical lead for web analytics implementation, youll collaborate with cross-functional teams to design and implement sophisticated data collection frameworks that adhere to the highest standards of data privacy and security. Objectives Data Layer Architecture : Design, develop, and maintain comprehensive data layer frameworks that serve as the foundation for all tracking implementations, ensuring consistent, accurate data collection across all digital properties GA4 & GTM Implementation : Lead the technical implementation of Google Analytics 4 and Google Tag Manager solutions, including custom dimensions, metrics, and events Server-Side Tagging : Develop and deploy server-side tagging solutions to improve site performance, enhance security, and maintain data quality Custom Tag Development : Create and maintain custom HTML/JavaScript tags, variables, and triggers within GTM to fulfill complex tracking requirements Tracking Pixel Integration : Implement and configure a wide range of marketing, analytics, and conversion tracking pixels across digital properties Develop standardized approaches for pixel deployment including Meta Pixel (Facebook), LinkedIn Insight Tag, Twitter Pixel, TikTok Pixel, Microsoft Advertising (Bing) UET Tags, and various DSP/DMP pixels Architect solutions that properly handle first-party and third-party cookie restrictions Create custom JavaScript implementations to extend standard pixel functionality for enhanced conversion value tracking and offline conversion imports Develop secure data mapping between your data layer and third-party pixel requirements Integrate with consent management systems like Cheq or OneTrust for pixels to ensure GDPR, CCPA, and other privacy regulation compliance Configure server-side forwarding of pixel data when appropriate to improve page performance Develop and maintain pixel debugging tools and monitoring systems to ensure continued functionality Data Validation & QA : Create comprehensive testing methodologies to validate data collection accuracy and integrity across all implementations Performance Optimization : Monitor and optimize tag implementations to minimize impact on site performance and user experience Documentation : Develop and maintain technical documentation for all tracking implementations, data schemas, and integration points Analytics Database Integration : Design and implement processes for exporting analytics data to data warehousing solutions like BigQuery or Snowflake for advanced analysis Competencies 5+ years of software engineering experience with a focus on frontend development and web analytics implementations Deep expertise in JavaScript, including modern ES6+ features and debugging techniques Proven experience designing and implementing complex data layer architectures Advanced knowledge of Google Analytics 4 and Google Tag Manager, including server-side tagging Strong experience with SQL and data warehousing solutions like BigQuery or Snowflake Familiarity with various marketing tracking pixels and their implementation requirements Experience with tag management systems and their technical limitations Understanding of web performance optimization techniques related to analytics implementations Knowledge of data privacy regulations (GDPR, CCPA, etc.) and their impact on analytics implementations Experience with version control systems (Git) and collaboration workflows Preferred Skills Experience with Adobe Analytic and Adobe test and Target implementation as well as Adobe Experience Platform are a plus. Expert-level knowledge of pixel-based tracking technologies including: Single-page application (SPA) pixel implementation challenges and solutions Cross-domain tracking configuration Enhanced e-commerce tracking implementation Advanced conversion attribution methodologies Click and view-through conversion tracking User identification and visitor stitching across platforms Knowledge of API development for data integration purposes Familiarity with Python, R, or other data analysis tools Experience in developing custom dashboards with data visualization tools Understanding of the cybersecurity landscape and related data collection challenges Experience with A/B testing implementation and analysis Knowledge of consent management platforms and their integration with analytics solutions What Youll Do in Your First 90 Days Perform a comprehensive audit of existing analytics implementations across our digital properties Develop a strategic roadmap for enhancing our data layer architecture Restart urgent requests from key partners Work with our 3 rd party agency to establish future ways of working Create documentation standards for all future analytics implementations Establish quality assurance processes for tracking implementations Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants . Learn more about pay transparency . To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.