Role Overview As a Senior Cloud Software Engineer on McAfee s AI Automation team you will play a vital role in delivering cutting-edge threat-detection capabilities to hundreds of millions of customers worldwide Leveraging McAfee s rich data ecosystem you will design and maintain Python-centric pipelines that automate every stage of the model lifecycle from large-scale data preparation in Databricks to containerized inference on AWS EKS Working closely with Data Scientists you will enable high-frequency model retraining validation approval and deployment that continuously strengthens our cybersecurity portfolio This is a Hybrid position based in Bangalore You must be within a commutable distance from the location You will be required to be onsite on an as-needed basis when not working onsite you will work remotely from your home location About the role Develop and maintain scalable pipelines in Databricks Python PySpark and Kubeflow for ML model training validation and approval Design build and optimize Docker-based inference containers Seldon Core and Ray Serve offering high-throughput REST and gRPC endpoints for deployment on AWS EKS Profile benchmark and tune container performance CPU GPU utilization memory footprint cold-start latency and implement regression tests to prevent performance drift Build and own CI CD workflows in GitHub Actions or Jenkins including automated unit integration tests security scans and artifact versioning 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 ensuring reliability security and scalability About you You should have 7 to 9 years in software development including 5 plus years in writing advanced Python asyncio or multiprocessing profiling packaging Deep knowledge of containerization Docker image authoring multi-stage builds security hardening ECR publishing and production deployments on Kubernetes EKS Strong grasp of networking protocols HTTP 1 1 HTTP 2 gRPC and Python web frameworks FastAPI aiohttp grpcio for low-latency inference Hands-on experience with core AWS services EC2 S3 Cloud Watch Lambda RDS IAM etc Proven skill in performance analysis and debugging distributed systems comfortable with profilers flame graphs and async debugging tools Proficiency in CI CD GitHub Actions or Jenkins and automated testing frameworks Bonus Hands-on expertise with Databricks PySpark and Delta tables solid experience using MLflow tracking registry Bonus Familiarity with additional IaC or observability tools Terraform Helm Prometheus Grafana LI-Hybrid 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 adaptable 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