Software Development Engineer
McAfee
Bengaluru, Karnataka, India
Role Overview: Cloud Software Development Engineer with ability to design, develop, deploy, and maintain cloud-based applications and services, leveraging cloud platforms AWS and GCP focusing on scalability, security, and efficiency. This is a Hybrid position located in Bangalore. You will be required to be onsite on an as-needed basis, typically 1 to 6 times a month. We are only considering candidates within a commutable distance and are not offering relocation assistance at this time About The Role: Develop and deploy cloud-based distributed applications, ensuring they are efficient, secure, and scalable. Build and optimize large-scale data processing pipelines using Spark/pySpark, integrating with cloud-native services. Monitor the performance and health of cloud-based applications and infrastructure, ensuring they meet performance, scalability, and security standards. Collaborate with developers, SDETs, Researchers, DevOps engineers, and system administrators to ensure smooth development, deployment, and operations of data-driven applications. Implement data analytics and dashboarding solutions to support business intelligence, operational monitoring, and model performance tracking. Contribute to the development, deployment, and monitoring of machine learning models, with a clear understanding of the end-to-end ML lifecycle, including data collection, preprocessing, model (re)training, evaluation, deployment, and feedback loops. About You: Proficient in programming languages such as Python and .NET, with experience Understanding of unit test frameworks in Python & .NET. Strong understanding of cloud platforms, particularly AWS and Google Cloud Platform (GCP), and their services. Solid grasp of AI and ML concepts, tools (MLFlow etc), and best practices. Understanding of end-to-end ML lifecycle and workflows in production-grade environments. Knowledge of cloud security best practices and the ability to implement them in application and infrastructure design. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Competent in working with both relational and non-relational databases to support dynamic application needs.
