McAfee-posted 1 day ago
Full-time • Mid Level
Hybrid • Frisco, TX
1,001-5,000 employees

We are the eCommerce team of McAfee building next-generation solutions to help acquire new customers and retain existing customers. This position is for a Senior Software Development Engineer who will play a critical role in building a highly scalable and performing systems that serve a large user base. This is a Hybrid position located in Frisco, TX. You will be required to be onsite on an as-needed basis, typically 2x per week. We are only considering candidates within a commutable distance to this location and are not offering relocation assistance at this time. About the Role : Architect, develop, test, and deploy high-performance, scalable, and responsive products. Support existing backend and platform workloads, including web applications, RESTful APIs, microservices, and cloud-based solutions (AWS preferred). Collaborate with global teams to enhance McAfee Consumer Products. Lead or participate in the exploration, prototyping, and integration of AI/ML features. Champion the use of AI-powered developer tools (e.g., GitHub Copilot, Claude Code, etc.) to improve development velocity, code quality, and team productivity. Stay current with AI trends and technologies, identifying opportunities to apply AI for improved customer experience and operational efficiency. Conduct deep data analysis on big data systems, leveraging AI/ML tools where appropriate. Ensure product releases meet high quality standards through rigorous testing. Continuously explore, adopt, and demonstrate new tools and technologies that can enhance productivity, quality, monitoring, and delivery speed. Proactively propose and implement improvements to engineering processes, leveraging AI and automation to optimize workflows and outcomes. Follow Agile Scrum methodologies and actively contribute to sprint planning and reviews. About You : Possess 8+ years of hands-on experience in application development.

  • Architect, develop, test, and deploy high-performance, scalable, and responsive products.
  • Support existing backend and platform workloads, including web applications, RESTful APIs, microservices, and cloud-based solutions (AWS preferred).
  • Collaborate with global teams to enhance McAfee Consumer Products.
  • Lead or participate in the exploration, prototyping, and integration of AI/ML features.
  • Champion the use of AI-powered developer tools (e.g., GitHub Copilot, Claude Code, etc.) to improve development velocity, code quality, and team productivity.
  • Stay current with AI trends and technologies, identifying opportunities to apply AI for improved customer experience and operational efficiency.
  • Conduct deep data analysis on big data systems, leveraging AI/ML tools where appropriate.
  • Ensure product releases meet high quality standards through rigorous testing.
  • Continuously explore, adopt, and demonstrate new tools and technologies that can enhance productivity, quality, monitoring, and delivery speed.
  • Proactively propose and implement improvements to engineering processes, leveraging AI and automation to optimize workflows and outcomes.
  • Follow Agile Scrum methodologies and actively contribute to sprint planning and reviews.
  • Possess 8+ years of hands-on experience in application development.
  • Strong expertise in C#, .NET Core, and backend services (Node.js, SQL Server, PostgreSQL, MySQL).
  • Experience designing and implementing cloud solutions (AWS preferred) and containerization.
  • Expertise in using AI powered developer tools (e.g., GitHub Copilot, Claude Code, etc.) to accelerate development and improve code quality.
  • Exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Familiarity with front-end technologies (HTML, CSS, JavaScript, Vue.js, React).
  • Ability to learn and adapt to new AI technologies as business needs evolve.
  • Strong sense of ownership, collaborative and team-oriented mindset.
  • Ability to develop applications with a focus on high availability, low latency, and scalability.
  • Good to have exposure in GoLang development.
  • Experience building web platforms, RESTful APIs, integrating payment systems, optimizing applications, and implementing A/B testing.
  • Demonstrated ability to evaluate, adopt, and showcase new tools and technologies to the team.
  • Proven track record of proposing and implementing process improvements that increase productivity, quality, and delivery speed.
  • Experience with data pipelines, feature engineering, or deploying ML models in production is a plus.
  • Bachelor’s degree in computer science or related field is a plus.
  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement
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