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.
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).
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.
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.
Bachelor’s degree in computer science or related field is a plus.
#LI-Hybrid
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ 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.
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
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.