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Role Overview
Cloud Software Development Engineer with ability to design, develop, deploy, and maintain cloud-based applications and services, leveraging cloud platforms AWS and GCP focusing on scalability, security, and efficiency.
This is a Hybrid position located in Bangalore. You will be required to be onsite on an as-needed basis, typically 1 to 6 times a month. We are only considering candidates within a commutable distance and are not offering relocation assistance at this time
About The Role
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 offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Cloud Software Development Engineer with ability to design, develop, deploy, and maintain cloud-based applications and services, leveraging cloud platforms AWS and GCP focusing on scalability, security, and efficiency.
This is a Hybrid position located in Bangalore. You will be required to be onsite on an as-needed basis, typically 1 to 6 times a month. We are only considering candidates within a commutable distance and are not offering relocation assistance at this time
About The Role
- Develop and deploy cloud-based distributed applications, ensuring they are efficient, secure, and scalable.
- Build and optimize large-scale data processing pipelines using Spark/pySpark, integrating with cloud-native services.
- Monitor the performance and health of cloud-based applications and infrastructure, ensuring they meet performance, scalability, and security standards.
- Collaborate with developers, SDETs, Researchers, DevOps engineers, and system administrators to ensure smooth development, deployment, and operations of data-driven applications.
- Implement data analytics and dashboarding solutions to support business intelligence, operational monitoring, and model performance tracking.
- Contribute to the development, deployment, and monitoring of machine learning models, with a clear understanding of the end-to-end ML lifecycle, including data collection, preprocessing, model (re)training, evaluation, deployment, and feedback loops.
- Proficient in programming languages such as Python and .NET, with experience Understanding of unit test frameworks in Python & .NET.
- Strong understanding of cloud platforms, particularly AWS and Google Cloud Platform (GCP), and their services.
- Solid grasp of AI and ML concepts, tools (MLFlow etc), and best practices.
- Understanding of end-to-end ML lifecycle and workflows in production-grade environments.
- Knowledge of cloud security best practices and the ability to implement them in application and infrastructure design.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Competent in working with both relational and non-relational databases to support dynamic application needs.
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 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
Key Skills
Ranked by relevance
cloud
python
aws
gcp
google cloud platform
containerization
machine learning
cloud security
docker
devops
mlflow
ai
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- Posted
- Jun 05, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Bengaluru
- Company
- McAfee
Industries
Computer
Network Security
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Fullstack Software Engineer
2026-01-30
Full-time
Not Applicable
Canada
Computer
Engineering
View Job Details
Related
Data Scientist - LLMs & Generative AI
2025-07-12
Full-time
Not Applicable
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Engineering
View Job Details
Related
Data Scientist - LLMs & Generative AI
2025-07-02
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Engineering