About the Role
In this role, you will require to have deep cloud experience and modern AI tooling skills, including proficiency in GoLang, MCP (Model Context Protocol), LLMs, and full‑stack development on AWS.
You should have a passion for creating consumer products and be eager to join a collaborative team focused on delivering best‑in‑class experiences while leading a high-performing engineering group.
You should be able to collaborate effectively with cross-functional stakeholders while demonstrating adaptability, strong communication, and the ability to thrive in remote or distributed environments.
You will drive product requirements and roadmap planning in close partnership with cross-functional teams while leading the design, architecture, and implementation of highly scalable cloud solutions.
You will be customer‑obsessed, using agile practices to build products that deliver exceptional experiences, and you will optimize testing processes by guiding your team to create comprehensive test plans, run failure‑mode scenarios, and ensure high‑quality releases.
You will lead and develop a high‑performing engineering team through strong people management, including hiring, coaching, feedback, and performance management.
You will champion operational excellence across the organization by enforcing secure development best practices, rigorous code reviews, unit testing, and scalability standards.
About You
You should have bring 14–18 years of software development experience with at least 5 years of leadership as a Manager or Director of a product development team.
You should have 5+ years of full‑stack, cloud-native development expertise building high‑performing, scalable applications on AWS or Azure.
You should have experience in designing, architecting and deploying advanced Agentic and AI/LLM-driven applications with strong protections for security, privacy, and identity.
You must have deep proficiency in REST services using Golang or Python, containerization with Docker, and orchestration frameworks such as Kubernetes or EKS.
You should possess strong skills across SQL, NoSQL, and big data technologies including DynamoDB, Cassandra, MongoDB, Hadoop, Spark, S3, and middleware like Kafka or Redis.
You should have an experience with Safety, Privacy, Identity, Connected Home, Wearables, IoT products is a plus
You should ideally bring experience in neural networks, machine learning, deep learning, NLP, or domains such as safety, privacy, identity, security, IoT, wearables, or connected home products.
You should have Bachelors/Masters/ Ph.D. in Computer Science or Engineering, or an equivalent advanced technical degree.
#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.