Cloud Software Engineer - AI & ML Focused

Cloud Software Engineer

Role Overview:

We are looking for a Software Engineer who is passionate about building innovative AI-powered products and has experience leveraging AI/ML/LLM technologies throughout the software development lifecycle. You will be a hands-on technical contributor working on consumer products that protect our customers.
You will exhibit deep expertise in building products with AI, native cloud application development, and consumer-focused solutions. You will be expected to use AI extensively—not just in the products you build, but throughout your daily development workflow including code generation, testing, documentation, and problem-solving.

In a world where AI is transforming software development every day, we are offering you a rare opportunity to be at the forefront of this revolution, working on critical products in McAfee's consumer business. You will work independently and collaboratively with architects, engineers, and cross-functional teams to deliver world-class solutions.
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:

• AI-Native Development - Extensively use AI tools (GitHub Copilot, Claude, ChatGPT, Cursor) throughout the development lifecycle and for code generation, debugging, testing, and architectural exploration.
•  ML/LLM Integration - Build and integrate production ML/LLM models using frameworks like TensorFlow, PyTorch, LangChain, and vector databases with customer-obsessed focus.
•  Data Engineering - Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture) with automated quality validation.
• Metrics & Dashboards - Design operational/business metrics and build near real-time dashboards for monitoring and business intelligence.
• AI Productivity Tools - Create AI-powered skills and agents to boost engineering productivity, integrated with Confluence, Jira and Databricks.

About You:

• We are looking for 4 to 5 years software development including 1+years in AI/ML experience.
• AI-Augmented Development - Daily hands-on experience using AI coding assistants (GitHub Copilot, Claude Code, Cursor) for productivity.
• Full-Stack Cloud Expertise - Strong full-stack development with cloud platforms (AWS, GCP), REST services (Golang, Python), and containerization (Docker).
• Databricks & Data Engineering - Hands-on experience with Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture) for scalable data pipelines.
• AI Agents & Integration - Experience building/integrating AI agents, LLM-powered tools, dashboards, and developer ecosystem integrations (Confluence, Jira).

#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.