McAfee | Cloud Software Development Engineer – AWS/GCP | Hybrid | Bangalore

Location: Bangalore (Hybrid – 1 to 6 days onsite/month)
Note: Only candidates within a commutable distance will be considered. No relocation assistance provided.

About the Role:

We are seeking a skilled and innovative Cloud Software Development Engineer to join our dynamic team in Bangalore. In this hybrid role, you will be responsible for designing, developing, deploying, and maintaining cloud-based applications using AWS and Google Cloud Platform (GCP). Your work will directly impact the scalability, performance, and security of data-driven applications and machine learning systems.

Job Description :-

Company Name:	McAfee
Job Role:	Software Development Engineer
Experience:	1-6 Yrs
Location:	Bangalore, INDIA
CTC/Salary:	INR 5.8-20 LPA (Expected)

Key Responsibilities:

• Design, develop, and deploy scalable, secure, and efficient cloud-native applications.
• Build and optimize large-scale data pipelines using Spark/PySpark, integrating cloud services.
• Monitor cloud applications and infrastructure to ensure peak performance and adherence to security standards.
• Collaborate with developers, DevOps, researchers, and SDETs for seamless application lifecycle management.
• Implement analytics dashboards and monitoring tools for business intelligence and operational insights.
• Support the end-to-end ML lifecycle, including data collection, preprocessing, model training, deployment, and feedback loop management.
• Ensure cloud architecture aligns with security and compliance best practices.

Required Skills & Experience:

• Programming Languages: Proficient in Python and .NET with experience in unit testing frameworks.
• Cloud Platforms: Strong knowledge of AWS and GCP, including native services.
• Big Data: Experience with Spark/PySpark and large-scale data processing.
• AI/ML: Familiarity with machine learning workflows, tools like MLflow, and model deployment practices.
• Security: Understanding of cloud security principles and best practices.
• Containerization: Hands-on experience with Docker and Kubernetes.
• Databases: Proficient in managing both relational and NoSQL databases.

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What You Bring:

• A strong foundation in software development and cloud computing.
• Experience working in production-grade ML environments.
• A problem-solving mindset with attention to scalability and system reliability.
• Strong communication and teamwork skills in cross-functional, collaborative settings.