Qureos Mentor

McAfee

<div>Role Overview: The Senior DevOps Engineer is responsible for building and operating production-scale platform engineering capabilities on Kubernetes (Amazon EKS/GKE), with a strong focus on reliability, scalability, and developer productivity.<br>
This is a highly hands-on role focused on implementing and enhancing cloud-native platforms, CI/CD systems, developer platforms (Backstage), and secure software delivery practices. The role works closely with platform, SRE, and engineering teams to improve system reliability and engineering efficiency.<br>
The ideal candidate has strong expertise in cloud-native technologies, enterprise CI/CD, and large-scale production environments.<br>
This is a Hybrid Position located in Frisco, TX. We are only considering candidates within a commutable distance to the Frisco office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. Position Details:
<p></p><p><b>
About the Role:</b></p><ul><li>
Design, implement, and operate large-scale Kubernetes platforms (EKS/GKE), including multi-region deployments for high availability and scalability.</li><li>
Manage Kubernetes cluster lifecycle including provisioning, upgrades, patching, scaling, &amp; BCP/DR.</li><li>
Build and enhance CI/CD pipelines using GitHub Actions, and Harness to improve deployment efficiency and reliability.</li><li>
Design, build, and operate EKS clusters with technologies such as Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.</li><li>
Contributes to the implementation and adoption of Backstage as a developer platform, including templates, scaffolding workflows, and service catalog.</li><li>
Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.</li><li>
Implement AI-driven capabilities such as deployment risk analysis, anomaly detection, and pipeline insights (where applicable).</li><li>
Develop strategies for upgrades and patching with minimal downtime and operational risk.</li><li>
Support platform security posture by implementing DevSecOps practices and secure software supply chain controls.</li><li>
Define and contribute to platform observability, including metrics, logs, traces, and operational dashboards.</li><li>
Define SLIs/SLOs and platform health metrics.</li><li>
Participate in incident response, root cause analysis, and reliability improvement initiatives.</li><li>
Collaborate with cross-functional teams to improve developer experience, platform adoption, and operational efficiency.</li></ul><p></p><p><b>
About You:</b></p><ul><li>
5+ years in DevOps / Platform Engineering with strong hands-on experience in Kubernetes (EKS/GKE) at production scale.</li><li>
Proficient in Terraform and CI/CD pipelines (GitHub Actions, Jenkins, Harness) with focus on automation, reliability, and scalability.</li><li>
Strong programming skills in Golang or Python and solid understanding of Kubernetes networking, RBAC, and autoscaling.</li><li>
Hands-on experience with Backstage developer platform, including software templates, scaffolding workflows, and service catalog.</li><li>
Ability to build and contribute to golden paths and reusable developer workflows to improve engineering productivity and adoption.</li><li>
Experience working across multi-cloud environments (AWS + GCP) and understanding cross-cloud deployment patterns.</li><li>
Experience with service mesh (Istio / Envoy), Cilium, and API gateways (Envoy Gateway, Kong).</li><li>
Familiarity with JFrog Artifactory / Curation or similar artifact governance tools.</li><li>
Understanding of Apache Kafka architecture and operations.</li><li>
Exposure to AI-powered DevOps / AIOps solutions for deployment insights and automation.</li><li>
Experience implementing DevSecOps practices and securing software supply chains within CI/CD pipelines.</li><li>
Strong communication, collaboration, and technical documentation skills.</li><li>
Contributions to CNCF ecosystem or Backstage OSS are a plus.</li><li>
Cloud architecture certifications (AWS/GCP Solutions Architect) is a plus.</li><li>
Kubernetes certifications (CKA, CKAD, CKS) is a plus.</li><li>
DevOps &amp; Infrastructure: HashiCorp Terraform Associate or equivalent CI/CD certificate is a plus.</li></ul><p></p><p>
#LI-Hybrid</p>
Company Overview: 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. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<p></p><ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</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. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/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.</p></div>

Sr. DevOps Engineer

<div>Role Overview: We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.<br>
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.<br>
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time. Position Details:
<p><b>
About the role:</b></p><p><b><br>
Forecasting &amp; Planning</b></p><ul><li><p>
Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.</p></li><li><p>
Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.</p></li><li><p>
Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.</p></li><li><p>
Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.</p></li></ul><p></p><p><b>
Advanced Analytics &amp; Machine Learning</b></p><ul><li><p>
Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.</p></li><li><p>
Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.</p></li></ul><p></p><p><b>
Marketing Insights &amp; Stakeholder Storytelling</b></p><ul><li><p>
Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.</p></li><li><p>
Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.</p></li><li><p>
Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.</p></li><li><p>
Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.</p></li></ul><p></p><p><b>
About you:</b></p><ul><li><p>
7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.</p></li><li><p>
Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.</p></li><li><p>
Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.</p></li><li><p>
Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.</p></li><li><p>
Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.</p></li><li><p>
Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Master&rsquo;s degree or PhD in a quantitative discipline.</p></li><li><p>
Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.</p></li><li><p>
Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.</p></li><li><p>
Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.</p></li><li><p>
Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.</p></li><li><p>
Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.</p></li></ul><p></p>
Company Overview: 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. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<p></p><ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</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. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/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.</p></div>

Senior Data Scientist, Forecasting and Analytics

<div>Role Overview: Leads and drives strategic, data-driven programs across Data Engineering, Data Analytics, and Cloud Data platforms, partnering with VP+ leaders to align delivery with business objectives and accelerate measurable outcomes. Owns end-to-end execution of complex initiatives, facilitates high-impact Agile ceremonies, and coaches teams on Scrum, Scaled Agile, and Kanban best practices to foster transparency, urgency, and accountability. Proactively identifies and mitigates risks, resolves dependencies and blockers, and maintains detailed project artifacts to keep teams on track against critical milestones. Communicates effectively at all levels, translating business needs into technical requirements and technical progress into clear, outcome-focused updates, demos, and value propositions tailored to engineering, data, product, and executive audiences. Collaborates with product managers, data scientists, and engineers to build shared understanding and frictionless execution, leveraging expertise in cloud technologies (AWS, GCP, Databricks) and advanced proficiency in tools such as Jira, Confluence, Smartsheets, Monday.com, Asana, and MS Project. Requires 8+ years of technical program management experience leading data and analytics initiatives, PMP certification (CSM/SAFe preferred), and a demonstrated track record of driving clarity and engagement across matrixed, cross-functional organizations.<br>
<br>
This is a Hybrid position. You will be required to be on-site on an as-needed basis. 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 one of our hub locations and are not offering relocation assistance at this time. Position Details:
<p><b>
Technical Program Manager (Data Analytics Team)</b></p><p></p><p>
We are seeking a <b>Senior Technical Program Manager</b> with deep expertise in <b>Agile delivery</b> and a proven ability to <b>communicate with clarity and impact</b>. This role goes beyond traditional program management&mdash;it requires someone who can <b>drive outcomes, articulate value, and tailor communication to diverse audiences</b>, from engineering, data analytics and cloud data teams to executive leadership.</p><p></p><p><b>
About the Role
</b></p><ul><li>Lead and drive strategic programs in partnership with VP+ leaders, ensuring alignment with business objectives and accelerating measurable business outcomes.</li><li>
Own end-to-end delivery of complex data-driven initiatives across Data Engineering, Data Analytics, and Cloud Data platforms.</li><li>
Collaborate with product managers, data scientists, engineers, and other partners to ensure understanding and successful program execution.</li><li>
Facilitate high-impact Agile ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) with a focus on clarity, urgency, and accountability.</li><li>
Communicate effectively and efficiently at all levels. Must have ability to bridge between technical and business requirements. Deliver timely and concise status updates, effective demos that are tailored to the audience and are outcome-focused.</li><li>
Maintain detailed project artifacts, resolve dependencies, and support team members in achieving critical milestones.</li><li>
Proactively identifies, resolves and monitor risks, issues and blockers, managing dependencies and maintains momentum against critical milestones.</li><li>
Coach and mentor teams on Agile best practices, fostering a culture of transparency, collaboration, continuous improvement and real-time updates.</li><li>
Partner with Product, Engineering and Data Science teams to build a shared understanding and a successful and frictionless execution.</li></ul><p></p><p><b>
About You
</b></p><ul><li><b>Agile Leadership</b>, expert in Scrum, Scaled Agile and Kanban with a keen attention to detail.</li><li><b>
Strategic Thinking and Adaptability, </b>ability to connect delivery to organizational goals, influence stakeholders and pivot with business needs.</li><li><b>
Executive Communication</b>, skilled in translating business needs and problems into technical requirements and technical progress into measurable business outcomes and value propositions.</li><li><b>
Data Expertise</b>, strong background in Data Analytics, Data Engineering, and Cloud technologies (AWS, GCP, Databricks).</li><li><b>
Tools Mastery, </b>Advanced proficiency in Jira and Confluence; experience with Smartsheets, Monday.com, Asana, MS Project.</li><li><b>
Certifications, </b>PMP required; Certified Scrum Master, SAFe preferred.</li><li>
8+ years in technical program management with track record of leading data and analytics initiatives.</li><li>
Demonstrated success in driving clarity, urgency and engagement across a matrixed organization with cross-functional teams.</li></ul>
Company Overview: 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. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<p></p><ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</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. 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.</p></div>

Technical Program Manager

<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

Join McAfee and explore 11   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.