Role Overview:

As a data 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 McAfee’s rich data ecosystems to create ML model training, validation, and approval pipelines to deliver incremental value in pursuit of providing the best protection in cybersecurity. You’ll have the opportunity to work with big data to identify potential improvements in our threat protection capabilities. You’ll have the ability to implement data pipelines as well as maintain and improve our AI automation platform to automate the end-to-end model development and deployment lifecycle. You’ll 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:

• Apply subject matter expertise in PySpark and big data in developing and maintaining scalable pipelines for ML model training, 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.

About You:

• You have 6–8 years of experience as a software engineer, with a minimum of 4 years as a data or platform engineer working on big data and building data pipelines. Work experience in the cybersecurity industry is a plus.

• You have extensive experience with PySpark.

• Significant coding skills in Python, with other languages being a plus.

• Experience on platforms like Databricks and AWS.

• Knowledge of Kubernetes/EKS, Kubeflow, Jenkins, Linux, Docker, and Terraform would be a plus.

• Working experience in debugging computational bottlenecks, troubleshooting issues, and software testing.

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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 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.