Cloud Software Engineer

Yesterday

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McAfee

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1987

🔒 Cybersecurity

🔐 Security

💰 Private Equity Round on 1991-09

Description

• 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

Requirements

• 6-8 years of experience as a software engineer, with expertise in building ML and data pipelines (cybersecurity experience is a plus) • Bachelor’s 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

Benefits

• Bonus Program • Pension and Retirement Plans • Medical, Dental and Vision Coverage • Paid Time Off • Paid Parental Leave • Support for Community Involvement