Machine Learning Engineer 4 - Kubernetes

We are seeking a dedicated Software Development Engineer to join our ambitious team in Noida. This role is perfect for someone who thrives in a collaborative environment and aims to successfully implement robust cloud solutions. You will play a critical part in crafting our ML/AI-powered products, ensuring they are reliable, scalable, and high-performing.
Responsibilities:
Architecting, deploying, and maintaining Kubernetes clusters to meet organizational standards.
Leading containerized applications using Kubernetes, including pod scheduling, scaling, and rolling deployments.
Developing and maintaining automation scripts and tools for provisioning and configuring Kubernetes infrastructure, strictly adhering to infrastructure-as-code principles.
Setting up monitoring tools and implementing alerting mechanisms to ensure the health and performance of Kubernetes clusters.
Investigating and resolving issues related to Kubernetes infrastructure, networking, and application deployments.
Implementing security measures to safeguard Kubernetes clusters, ensuring compliance with industry standards.
Identifying and optimizing performance bottlenecks for efficiency and scalability.
Analyzing resource usage patterns and forecasting capacity requirements.
Collaborating with cross-functional teams to support application deployment and integration with Kubernetes.
Documenting processes, configurations, and procedures to swiftly address issues.
Staying updated with the latest developments in Kubernetes and related technologies.
Implementing disaster recovery strategies to ensure business continuity.
Providing mentorship and training to junior team members on Kubernetes technologies and standard processes.
Requirements:
B. Tech / M. Tech degree in Computer Science from a premier institute.
7+ years of proven experience in software development and operations.
Strong computer science fundamentals and understanding of architecture, design, and performance.
Good understanding of Cloud Platforms, with a preference for AWS.
Proficient in Java/Python and Shell scripting.
Hands-on experience in writing reliable and maintainable code.
Strong problem-solving skills and ability to work independently.
Good understanding of Kubernetes and product life cycles.
Technical depth in operating systems, computer architecture, and OS internals.
Technical depth in Cloud Computing, Cloud Platforms, and Services architecture.
Good To Have:
Foundational knowledge in Machine Learning and Artificial Intelligence.
Experience with ML Lifecycle, AI Ethics, and ML Frameworks like TensorFlow, Caffe, Torch, etc.

Experience
7-11 yrs