Job Description

Role Overview:As a Cloud and Platform engineer within the Office of the CTO working on the AI Automation team at McAfee, you will play a vital role in providing our customers with cutting edge protection and peace of mind.You will leverage McAfeexe2x80x99s rich data ecosystems to create pipelines that will continuously retrain, validate and approve ML models to deliver incremental value in pursuit of providing the best protection in cybersecurity. Youxe2x80x99ll have the opportunity to work with big data to identify potential improvements in our threat protection capabilities. Youxe2x80x99ll have the ability to improve our ML and AI automation platform to automate the end-to-end model development and deployment lifecycle. Youxe2x80x99ll work closely with Data Scientists to set up model automation workflows to enable high frequency retraining and deployment.This is a remote position in India. We will only consider candidates currently in India and are not offering relocation assistance at this time.About the role:

• Develop and maintain scalable pipelines for ML model retraining, containerization, validation and approval.
• Develop and maintain model training datasets.
• Collaborate with Data Scientists to design, validate, deploy, monitor and maintain production scale ML models.
• Build and maintain solutions on Databricks, AWS, EKS and Kubeflow.
• Scale up existing pipelines to work with larger datasets and optimize resource usage.
• Build and maintain infrastructure as code (IaC) in the cloud, that is resilient and can scale when needed.
• Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources.

About you:

• 6-8 years of experience as a software engineer, with expertise in building ML and data pipelines (cybersecurity experience is a plus).
• Bachelorxe2x80x99s degree in IT, Software Engineering, or Computer Science is preferred.
• Proficient in Python, Linux shell scripting, and tools like PySpark, Pandas, and NumPy.
• Hands-on experience with Databricks, big data management, and core AWS services (EC2, S3, CloudWatch, Lambda, etc.).
• Knowledge of containerization (Kubernetes/EKS) and infrastructure-as-code tools (Terraform or CloudFormation).
• Skilled in debugging computational bottlenecks, troubleshooting, software testing, and optimizing data pipelines.
• Self-motivated, strong problem-solving skills, and comfortable collaborating remotely with international teams.

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to usersxe2x80x99 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

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.

McAfee