Qureos Mentor

McAfee

<div>Role Overview: Looking for a role where you can lead, mentor, and still stay hands-on with cutting-edge AI and machine learning technologies? Be ready to build a new AI-powered customer insights capability from the ground up and shape the future of customer experience as we are seeking an innovative and hands-on Senior Manager, AI/ML Engineering &amp; Customer Insights to establish and lead a new strategic function focused on transforming customer experience through data-driven insights and artificial intelligence. This role sits at the intersection of Engineering, Product, Data, and Customer Experience, with responsibility for building capabilities that aggregate and analyze telemetry data, customer feedback, reviews, support signals, and product usage patterns to identify opportunities that improve customer satisfaction, retention, and acquisition. You will define the vision, architecture, processes, and operating model for leveraging AI/ML and Generative AI technologies to uncover actionable insights at scale. You will be both a technical leader and people manager, capable of developing proof-of-concepts, building production-grade solutions, and leading a growing team of engineers and data professionals. The ideal candidate combines deep software engineering expertise with practical AI/ML experience, strong business acumen, and the ability to influence stakeholders across engineering, product, and executive leadership teams. Location Note: This is a Hybrid position located in Frisco, TX. You will be required to be onsite on a regular basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time. Position Details:
<p></p><p><b><i>
About the Role:
</i></b></p><ul><li>Establish and lead a new AI-driven Customer Insights function within the engineering organization.</li><li>
Define the strategy, roadmap, and technical vision for leveraging AI/ML to improve customer experience and business outcomes.</li><li>
Partner with Engineering, Product, Customer Experience, and Leadership teams to identify high-impact opportunities and prioritize initiatives.</li><li>
Build frameworks, processes, and best practices for insight generation, experimentation, and measurement.</li></ul><ul><li>
Design and implement AI/ML solutions that aggregate, analyze, and synthesize data from multiple sources including telemetry, application logs, customer reviews, surveys, support interactions, and product feedback.</li><li>
Develop machine learning models, algorithms, and analytical frameworks that identify trends, root causes, customer pain points, and product improvement opportunities.</li><li>
Leverage Large Language Models (LLMs) and Generative AI technologies to automate insight generation, sentiment analysis, summarization, classification, and recommendation workflows.</li><li>
Build proof-of-concepts and rapidly validate emerging AI technologies before scaling them into production environments.</li><li>
Develop approaches to measure the effectiveness and business impact of AI-generated insights.</li></ul><ul><li>
Architect and build scalable cloud-native solutions on AWS and/or Azure environments.</li><li>
Develop robust data pipelines and processing frameworks capable of handling large-scale structured and unstructured datasets.</li><li>
Lead the development of APIs, services, and platforms that support customer insight generation and consumption.</li><li>
Ensure engineering excellence through modern software development practices, security, reliability, and operational scalability.</li><li>
Drive adoption of MLOps and AI platform best practices for model deployment, monitoring, governance, and continuous improvement.</li></ul><ul><li>
Build, mentor, and lead a high-performing team of engineers and data professionals.</li><li>
Provide technical guidance, coaching, and career development support.</li><li>
Participate in hiring, technical assessments, and team-building activities as the function expands.</li></ul><ul><li>
Present findings, recommendations, and business impacts to senior leadership.</li><li>
Translate complex technical analyses into actionable insights for non-technical stakeholders.</li><li>
Influence product roadmaps and engineering priorities through data-driven recommendations.</li><li>
Collaborate closely with global teams and stakeholders to align customer experience initiatives across the organization.</li></ul><div></div><p><b><i>
About You:</i></b></p><ul><li>
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field.</li><li>
10&ndash;15 years of software engineering experience with at least 3+ years focused on AI/ML, advanced analytics, or data-driven product development.</li><li>
Proven experience leading engineering teams and delivering complex technical initiatives from concept through production.</li><li>
Strong hands-on programming experience with Python and modern software engineering practices.</li><li>
Demonstrated experience applying AI/ML techniques to solve real-world business problems.</li><li>
Experience building scalable cloud-native applications and data platforms in AWS, Azure, or GCP environments.</li><li>
Strong understanding of machine learning lifecycle, model deployment, experimentation, and production operations.</li><li>
Experience working with large-scale structured and unstructured datasets.</li><li>
Strong stakeholder management, communication, and influencing skills.</li><li>
Ability to balance strategic leadership with hands-on technical contribution.</li><li>
Hands-on experience of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI platforms such as OpenAI, Anthropic, and Hugging Face, with experience developing AI-powered solutions including sentiment analysis, summarization, classification, and recommendation systems.</li><li>
Strong software engineering experience with Python and/or Golang, including designing and developing RESTful APIs, microservices, distributed systems, and event-driven architectures.</li><li>
Experience building and deploying cloud-native applications using AWS (EKS, Fargate, S3, Lambda), Azure, or Google Cloud Platform (GCP), with expertise in Docker and Kubernetes for containerization and orchestration.</li><li>
Strong knowledge of SQL and NoSQL databases, including Microsoft SQL Server, DynamoDB, MongoDB, and Cassandra, along with experience working with big data technologies such as Apache Spark, Hadoop, and Data Lake architectures.</li><li>
Experience with messaging and middleware technologies, including Kafka, Redis, and RabbitMQ, to build scalable, high-performance distributed applications.</li></ul><p><b><i>
Success Measures:</i></b></p><p>
Success in this role will be measured by:</p><ul><li>
Creation and successful adoption of a customer insights capability.</li><li>
Improvements in customer satisfaction and experience metrics.</li><li>
Identification and resolution of customer-impacting engineering issues.</li><li>
Influence on product decisions through actionable insights.</li><li>
Delivery of scalable AI-powered solutions that drive measurable business outcomes.</li><li>
Growth, effectiveness, and engagement of the engineering team.</li></ul><div></div><p><b>
Ideal Candidate Profile</b></p><p>
The successful candidate is a builder, innovator, and leader who enjoys creating new capabilities from the ground up. They combine strong engineering fundamentals with modern AI expertise and have the ability to translate large volumes of customer and operational data into meaningful business impact. They are equally comfortable discussing architecture with engineers, product strategy with product leaders, and business outcomes with executive stakeholders.</p><p></p><p>
#LI-Hybrid</p>
Pay Range: The anticipated compensation for this position is USD $135,910.00/Yr. - USD $223,285.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Senior Manager, AI/ML Engineering & Customer Insights - Frisco

<div>Role Overview: We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You won&rsquo;t just be maintaining tools; you will be architecting the intelligence layer that powers hyper-personalization, autonomous campaign optimization, and generative creative pipelines. You will architect and lead buildout of infrastructure systems that do not merely execute pre-defined tasks but perceive context, reason through complex strategic problems, and orchestrate end-to-end workflows with minimal human intervention. We are moving from &quot;campaign management&quot; &mdash;a manual, administrative task&mdash;to &quot;campaign orchestration&quot; a strategic, supervisory role and invest in effective Human-Agent Teams. This is a position located in the US in either San Jose, CA or Frisco, TX. You will be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time. Position Details:
<p></p><p><b><i>
About the Role:</i></b></p><ul><li><b>
Architect Agentic Workflows:</b> Design and deploy AI agents to automate complex marketing tasks such as cross-channel campaign orchestration and real-time lead qualification.</li><li><b>
Generative Asset Pipelines:</b> Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe guardrails.</li><li><b>
Real-time Personalization:</b> Implement RAG (Retrieval-Augmented Generation) systems to provide context-aware, personalized content across web, email, and SMS.</li><li><b>
Build Predictive Models:</b> Develop and productionalize ML models for high-impact marketing use cases: LTV (Lifetime Value) prediction, churn propensity, and &quot;Next Best Action&quot; engines.</li><li><b>
MLOps &amp; Integration:</b> Own the end-to-end lifecycle of models, from feature engineering in SQL/Python to deployment via APIs and monitoring for data drift in production.</li><li><b>
Privacy &amp; Ethics:</b> Ensure all AI implementations comply with global privacy standards (GDPR, CCPA) and implement &quot;Privacy-First&quot; AI features like differential privacy or synthetic data generation.</li><li><b>
Governance:</b> Implement robust Responsible AI frameworks to ensure that the speed of automation does not compromise the trust of the customer</li></ul><p></p><p><b><i>
About You:
</i></b></p><ul><li><b>Languages &amp; Frameworks:</b> Expert proficiency in <b>Python</b>. Deep experience with <b>PyTorch</b> or <b>TensorFlow</b>, and LLM orchestration frameworks (LangChain, LlamaIndex).</li><li><b>
MarTech Ecosystem:</b> Hands-on experience integrating AI with CDPs (HighTouch), ESPs (Braze, Iterable), or Ad Platforms (Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused websites (Javascript, Adobe Experience Manager)</li><li><b>
Data Stack:</b> Mastery of <b>SQL</b> and cloud data warehouses. Experience with Databricks for feature engineering is a huge plus.</li><li><b>
Generative AI:</b> Proven experience with Claude fine-tuning models (LoRA, QLoRA) and managing vector databases (Pinecone, Milvus, or Weaviate).</li><li><b>
Deployment:</b> Experience with Docker, Kubernetes, and cloud AI services (AWS SageMaker, Google Vertex AI, or Azure AI Studio).</li><li><b>
Domain Expertise:</b> Previous experience in a high-growth B2C marketing environment.</li><li><b>
Experimentation Mindset:</b> Strong understanding of Bayesian A/B testing and causal inference to measure the true uplift of AI interventions.</li><li><b>
Strategic Thinking:</b> Ability to translate vague marketing goals (&quot;we want to increase engagement&quot;) into specific technical requirements and model objectives.</li><li><b>
Customer TouchPoints:</b> Experience developing applications or integrations with Windows, MacOS, iOS, Android ecosystems.</li></ul><p></p><p><b>
The Stack You&rsquo;ll Work With</b></p><ul><li><b>
Data Foundation: </b>Databricks, HighTouch</li><li><b>
AI/ML Engine:</b> Claude, PyTorch, Hugging Face, OpenAI API, LangGraph</li><li><b>
Orchestration: </b>Airflow, Prefect, or GitHub Actions</li><li><b>
Marketing Execution: </b>Braze</li><li><b>
Monitoring: </b>Weights &amp; Biases, Arize, or Grafana</li><li><b>
Analytics: </b>Adobe CJA</li></ul><p>
#LI-Hybrid</p>
Pay Range: The anticipated compensation for this position is USD $135,910.00/Yr. - USD $223,285.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Senior AI Engineer, MarTech

<div>Position Details:
<p></p><div><div><p><b>
About the Role</b><b>:</b></p></div><div><ul><li><p>
Lead the design, development, and deployment of scalable, resilient, and high-performance software solutions with a focus on agentic AI/ML capabilities.</p></li></ul></div><div><ul><li><p>
Provide hands-on technical leadership throughout the entire software development lifecycle, from concept and design to testing, deployment, and operational support.</p></li></ul></div><div><ul><li><p>
Architect and build full-stack applications and services that operate on an internet scale, ensuring high availability and low latency on modern cloud platforms (AWS, Azure, GCP).</p></li></ul></div><div><ul><li><p>
Drive the technical vision and strategy for AI/ML-powered features and products, translating business requirements into robust technical designs with rapid iteration and incremental delivery.</p></li></ul></div><div><ul><li><p>
Mentor and guide a team of software engineers, fostering a culture of technical excellence, innovation, collaboration, speed, and AI-augmented productivity.</p></li></ul></div><div><ul><li><p>
Collaborate closely with product managers, data scientists, researchers, and other engineering teams to deliver impactful solutions aligned with business goals.</p></li></ul></div><div><ul><li><p>
Leverage AI-assisted development tools and practices to accelerate delivery (GitHub Copilot, Claude Code, LLM-powered workflows).</p></li></ul></div><div><ul><li><p>
Champion best practices in software engineering, including code quality, testing, CI/CD, and DevOps with a pragmatic, outcome-driven approach.</p></li></ul></div><div><ul><li><p>
Stay current with emerging technologies and industry trends, particularly in AI/ML, agentic and LLM-based systems, multi-agent architectures, distributed systems, and cloud computing.</p></li></ul></div><div><ul><li><p>
Contribute to code reviews, design discussions, and architectural decisions with hands-on involvement in implementation.</p></li></ul></div><div><ul><li><p>
Troubleshoot and resolve complex technical issues in production environments.</p></li></ul></div><p></p><div><p><b><br>
About You:</b></p></div></div><div><div><ul><li><p>
10+ years of professional software development experience, with a significant portion in a technical leadership role.</p></li></ul></div><div><ul><li><p>
Extensive hands-on experience in designing, building, and operating large-scale, distributed internet services.</p></li></ul></div><div><ul><li><p>
Proven experience in developing and deploying agentic AI systems and AI/ML models into production environments. This includes familiarity with the end-to-end MLOps lifecycle and modern LLM-based architectures.</p></li></ul></div><div><ul><li><p>
Strong proficiency in multiple programming languages such as Python, Java, Go, Rust, C++ or similar.</p></li></ul></div><div><ul><li><p>
Deep understanding of full-stack development, including front-end technologies (e.g., JavaScript, TypeScript, Dart, React, Flutter) and back-end technologies (gRPC, protobuf).</p></li></ul></div><div><ul><li><p>
Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes) as a primary deployment model.</p></li></ul></div><div><ul><li><p>
Advanced Cloud &amp; K8s Infrastructure: Deep expertise in Kubernetes (Helm, ArgoCD), advanced cloud networking (Ingress, Calico), Zero Trust Security (OPA), Service Mesh (Istio/Linkerd), and eBPF (Cilium) for high-performance observability and traffic management.</p></li></ul></div><div><ul><li><p>
Solid understanding of database technologies (SQL and NoSQL).</p></li></ul></div><div><ul><li><p>
Demonstrated use of AI productivity tools (GitHub Copilot, Claude, ChatGPT, etc.) to accelerate software development.</p></li></ul></div><div><ul><li><p>
Bias for action: proven track record of fast, iterative, incremental delivery over analysis paralysis.</p></li></ul></div><div><ul><li><p>
Business outcome orientation: focus on delivering value and measurable results, not just technical outputs.</p></li></ul></div><div><ul><li><p>
Excellent problem-solving, analytical, and technical troubleshooting skills.</p></li></ul></div><div><ul><li><p>
Strong communication, interpersonal, and leadership abilities.</p></li></ul></div><div><ul><li><p>
Ability to thrive in a fast-paced, agile environment with a strong hands-on coding presence.</p></li></ul></div><div><ul><li><p>
Preferred: Contributions to open-source projects.</p></li></ul></div><div><ul><li><p>
Preferred: Experience working at FAANG (Facebook, Amazon, Apple, Netflix, Google) or other leading Big Tech companies.</p></li></ul></div><div><ul><li><p>
Preferred: Experience with big data technologies (e.g., Data Bricks, Snowflake, Big Query, Spark, Hadoop, Kafka, etc.).</p></li></ul></div><div><ul><li><p>
Preferred: Experience in the cybersecurity domain.</p></li></ul><p></p><p>
#LI-Hybrid</p></div></div><br>
<p></p>
Pay Range: The anticipated compensation for this position is USD $171,960.00/Yr. - USD $319,360.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Principal Engineer - AI/ML

<div>Role Overview: We are seeking a highly skilled Full Stack Engineer with a proven track record of building end-to-end solutions using technologies such as .NET, Node.js, SQL Server, PostgreSQL, and modern cloud-native architectures. The ideal candidate brings strong AWS expertise, with the ability to design and deliver scalable, secure, and high-performance applications. This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time. Position Details:
<p><b>
About the role:</b></p><ul><li>
Design, develop, and maintain scalable, high-performance applications for the E-commerce platform.</li><li>
Build robust backend systems and collaborate with cross-functional teams to translate business requirements into technical solutions.</li><li>
Write clean, efficient, and maintainable code following industry best practices.</li><li>
Contribute to system design, architecture discussions, and optimize database performance and data models.</li><li>
Troubleshoot production issues, ensure application reliability, security, and deliver high-quality software.</li></ul><p></p><p><b>
About You</b> :</p><ul><li>
4&ndash;6 years of experience in software development with a strong focus on backend systems and strong programming skills in Node.js and C# (.NET).</li><li>
Experience working with databases such as MSSQL and PostgreSQL and exposure to AWS cloud services.</li><li>
Solid understanding of APIs, backend services, and scalable system design principles.</li><li>
Experience in E-commerce applications is highly desirable, with payment domain knowledge as an added advantage.</li><li>
Exposure to AI-powered coding tools and basic ML concepts, along with strong problem-solving skills and ability to work in cross-functional teams.</li></ul><p>
#LI-Hybrid</p>
Company Overview:
<p>
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.</p>
Company Benefits and Perks:
<p>
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We&rsquo;re proud to be Great Place to Work&reg; Certified in 10 countries, a reflection of the supportive, empowering environment we&rsquo;ve built where people feel seen, valued, and energized to reach their full potential and thrive.<br>
<br>
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.</p><br>
<ul><li>
Bonus Program</li><li>
Pension and Retirement Plans</li><li>
Medical, Dental and Vision Coverage</li><li>
Paid Time Off</li><li>
Paid Parental Leave</li><li>
Support for Community Involvement</li></ul><p>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.</p>
Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Node.JS with .Net Development Engineer

<div>Role Overview: The Full Stack QA Engineer is responsible for ensuring high-quality mobile applications through a good mix of skills on Mobile and API automation. The role requires hands-on experience in validating mobile and backend features, identifying critical defects early, and building robust automation frameworks. This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time. Position Details:
<p><b>
About the Role</b></p><ul><li>
Design, develop, and maintain scalable automation frameworks and scripts for mobile applications and backend systems, complemented by strong manual testing strategies.</li><li>
Perform comprehensive mobile (Android/iOS) and API testing using a combination of automated, manual approaches to validate business logic, data integrity, and integrations.</li><li>
Execute functional, regression, exploratory, and manual test cases; analyze results, log defects, and drive them to closure with high quality standards.</li><li>
Investigate and troubleshoot production issues using strong debugging and manual validation skills to ensure application stability, security and reliability.</li><li>
Leverage AI-assisted testing tools along with manual testing techniques to accelerate test creation, execution, defect detection and continuously improve coverage and efficiency.</li></ul><p></p><p><b>
About You</b></p><ul><li>
4&ndash;6 years of hands-on experience in mobile (Android/iOS) automation along with backend/API testing.</li><li>
Strong expertise in mobile test automation frameworks and scripting.</li><li>
Hands-on experience in backend QA, API automation, manual validation of business workflows and integrations.</li><li>
Exposure to AI-enabled testing tools for improving automation effectiveness.</li><li>
Solid understanding of QA best practices, SDLC/STLC processes and Agile methodologies.</li></ul><p>
#LI-Hybrid</p>
Company Overview:
<p>
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.</p>
Company Benefits and Perks:
<p>
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We&rsquo;re proud to be Great Place to Work&reg; Certified in 10 countries, a reflection of the supportive, empowering environment we&rsquo;ve built where people feel seen, valued, and energized to reach their full potential and thrive.<br>
<br>
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.</p><br>
<ul><li>
Bonus Program</li><li>
Pension and Retirement Plans</li><li>
Medical, Dental and Vision Coverage</li><li>
Paid Time Off</li><li>
Paid Parental Leave</li><li>
Support for Community Involvement</li></ul><p>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.</p>
Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Mobile Software Development Engineer in Test

<div>Role Overview: Join our eCommerce Team as a Lead Gen AI Full Stack, owning the full stack end-to-end to design and ship production GenAI products on AWS that transform how engineering, operations, and business teams work &mdash;while improving eCommerce products and user experience for millions of customers. Building intelligent, real-time experiences by engineering the full stack modern UIs, high-through put backend services, RAG systems and autonomous AI agents &mdash; on AWS with Claude, Bedrock and the modern LLM ecosystem. Success requires rapidly understanding complex distributed systems, debugging across the stack and shipping from prototype to production. This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time. Position Details:
<p><b>
About The Role:</b></p><ul><li>
Collaborate with business and engineering stakeholders to translate requirements into technical specifications and execute end-to-end delivery.</li><li>
Engineer the full stack: modern frontends and backend services for our eCommerce platform serving millions of customers, leveraging databases to deliver scalable, high-performance experiences.</li><li>
Work closely with senior leadership to drive architecture decisions and technical direction for GenAI initiatives &mdash; developing solutions that improve organizational productivity and customer experience.</li><li>
Design and ship production LLM products &mdash; conversational chatbots, AI summarization, operational copilots powered by RAG pipelines (vector search, reranking), and autonomous AI agents with tool orchestration and safety guardrails.</li></ul><p></p><p><b>
About You</b></p><ul><li>
8 to 12 years of full-stack engineering with proven product ownership and large-scale production experience; 2+years shipping production LLM applications with measurable business impact (eCommerce domain experience is a plus).</li><li>
Expert across modern full-stack: TypeScript, Node.js (NestJS), React 18, Next.js, Python (FastAPI), SQL/NoSQL databases, and big data ecosystem (Spark, Hadoop, Kafka, data lakes).</li><li>
Strong cloud and infrastructure experience: distributed systems (microservices, event-driven architecture, API design), cloud-native AWS delivery with hands-on experience in Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, S3, CloudWatch, SQS/SNS, and CI/CD pipelines.</li><li>
Deep GenAI experience: Claude, OpenAI, AWS Bedrock, LangGraph, RAG systems (vector search and reranking), prompt engineering, and evaluation &mdash; with hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot) to ship at high velocity.</li><li>
Strong observability expertise &mdash; uses metrics, logs, and traces to understand complex distributed systems, identify bottlenecks, surface insights, and resolve production issues across the full stack.</li></ul><p></p><p>
#LI-Hybrid</p><p></p>
Company Overview:
<p>
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.</p>
Company Benefits and Perks:
<p>
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We&rsquo;re proud to be Great Place to Work&reg; Certified in 10 countries, a reflection of the supportive, empowering environment we&rsquo;ve built where people feel seen, valued, and energized to reach their full potential and thrive.<br>
<br>
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.</p><br>
<ul><li>
Bonus Program</li><li>
Pension and Retirement Plans</li><li>
Medical, Dental and Vision Coverage</li><li>
Paid Time Off</li><li>
Paid Parental Leave</li><li>
Support for Community Involvement</li></ul><p>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.</p>
Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Lead Gen AI Full Stack Engineer – eCommerce

<div>Role Overview: We are looking for a hybrid Data Analyst / Engineer for our Consumer Protection Team to transform operational analytics for the consumer protection team to analyze customer and internal data, improving both what our products deliver and how they are delivered. Drive efficiency of the CP organization and enhance effectiveness and reliability of CP products through scalable data pipelines, AI-powered insights, and real-time monitoring. This is a Hybrid position located at our Frisco, USA. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Frisco office and are not offering relocation assistance at this time. Position Details:
<p><b>
About the Role</b></p><ul><li>
Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.</li><li>
Drive and optimize data insights and solutions leveraging AI/ML.</li><li>
Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.</li><li>
Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.</li><li>
Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.</li><li>
Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).</li></ul><p></p><p><b>
About You</b></p><ul><li>
You should have 5+ years of Data Engineering experience and 1+ year of hands-on AI/ML experience.</li><li>
Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.</li><li>
Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).</li><li>
Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.</li><li>
 Experience in API development (REST, GraphQL) and real-time systems.</li><li>
Cybersecurity platform knowledge and MCP implementation experience.</li><li>
Critical thinking skills to evaluate trade‑offs, solve complex data problems.</li></ul><p></p><p>
#LI-Hybrid</p>
Pay Range: The anticipated compensation for this position is USD $93,370.00/Yr. - USD $153,400.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Data Analyst / Engineer

Join McAfee and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.