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Cloud Software Engineer @ Mcafee

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 Posted 49 days ago — confirm the vacancy is still active.

 Cloud Software Engineer

Job Description

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 McAfees 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Mcafee
Location(s): Bengaluru

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Keyskills:   Architecture Coding Debugging Software development life cycle Workflow Application development Business intelligence JIRA Monitoring Python

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