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.
About the Role
- Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
- Drive and optimize data insights and solutions leveraging AI.
- Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
- Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
- Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
- Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).
About You
- You should have 7 to10 years of Data Engineering experience and 1+ year of hands-on AI/ML experience.
- Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.
- Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).
- Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.
- Experience in API development (REST, GraphQL) and real-time systems.
- Cybersecurity platform knowledge and MCP implementation experience.
- Critical thinking skills to evaluate trade‑offs, solve complex data problems.
#LI-Hybrid
Company Overview
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.
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’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.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
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.
Skills Required
- 5 to 7 plus years of Data Engineering experience
- 1 plus year of AI/ML experience
- Python proficiency
- Experience with Spark, Kafka, ETL pipelines, data warehousing (Snowflake, BigQuery)
- TensorFlow, PyTorch, scikit-learn experience
- Knowledge of Cloud platforms: AWS/Azure/GCP with AI/ML services
- Experience with Databases: SQL/NoSQL (PostgreSQL, MongoDB, Redis)
- Cross-platform development (Windows, macOS, iOS, Android)
- API development (REST, GraphQL) and real-time systems
What We Do
McAfee is a global organization with a 30-year history and a brand known the world over for innovation, collaboration and trust. McAfee’s historical accomplishments are founded upon decades of threat and vulnerability research, product innovation, practical application and a brand which individuals, organizations and governments have come to trust.
