Job Opportunity: AWS Cloud Software Engineer
Follow on LinkedInCompany: McAfee
Role: AWS Cloud Software Engineer
Location: Remote (India)
About McAfee
McAfee is a leader in personal security, providing cutting-edge solutions to empower users in today’s always-online world. Focused on protecting people, not just devices, we deliver integrated, intuitive security solutions for individuals, families, and communities.
Role Overview
Join McAfee’s AI Automation team within the Office of the CTO as an AWS Cloud Software Engineer. You will build scalable ML Infrastructure on AWS and EKS, enabling McAfee’s rich data ecosystems to deliver continuous value in cybersecurity. Collaborate with Data Scientists to establish high-frequency ML model retraining and deployment workflows while designing and maintaining CI/CD pipelines and infrastructure-as-code solutions.
Key Responsibilities
- Cloud Infrastructure: Design and manage scalable AWS cloud environments and Kubernetes clusters (Amazon EKS).
- Infrastructure as Code (IaC): Implement IaC using tools like Terraform, Ansible, or CloudFormation.
- CI/CD Pipelines: Build and maintain automated CI/CD pipelines using Jenkins or GitLab CI/CD.
- Monitoring and Optimization: Set up monitoring tools (Prometheus, Grafana, ELK, or CloudWatch) for system health and performance.
- ML Pipelines: Develop scalable pipelines for ML model training, validation, deployment, and monitoring.
- Collaboration: Partner with Data Scientists to deploy and maintain production-grade ML models.
- Cloud Operations: Optimize resource allocation, manage costs, and ensure AWS cloud security.
Skills & Qualifications
- Experience: 6–8 years of hands-on experience with AWS and Kubernetes/EKS.
- Education: Bachelor’s degree in IT, Software Engineering, or Computer Science preferred.
- Technical Skills:
- Proficient in Python, Linux shell scripting, and IaC tools (Terraform, Ansible).
- Experience with monitoring tools like Prometheus, Grafana, and CloudWatch.
- Knowledge of MLOps tools (Kubeflow, MLflow, Ray) is a plus.
- Big Data & ML: Familiar with Databricks, Delta tables, and Machine Learning concepts (PySpark, NumPy).
- Certifications: AWS or Kubernetes certifications (e.g., AWS Solutions Architect, CKA) are a plus.
- Soft Skills: Self-motivated, collaborative, and experienced in managing production-grade AWS infrastructure.
Why McAfee?
- Diversity and Inclusion: Embrace your authentic self in a culture that values diversity and prohibits discrimination.
- Flexibility and Work-Life Balance: Remote work, flexible hours, and family-friendly benefits.
- Comprehensive Benefits:
- Bonus Program
- Retirement and Pension Plans
- Medical, Dental, and Vision Coverage
- Paid Time Off and Parental Leave
- Support for Community Involvement
Be a part of McAfee’s mission to deliver cutting-edge cybersecurity solutions and empower secure living!
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