Staff SRE, Agentic AI

Netskope

3 months ago

Bengaluru, India

Staff+

H1B Sponsor

Responsibilities

Collaborate with AI/ML engineers to design and architect AI ML applications for scale and reliability.
Develop and deploy a CI/CD pipeline for safe and reproducible experiments.
Troubleshoot production issues related to AI ML application code and infrastructure configurations.
Set up and manage monitoring, logging, and alerting systems for training runs and APIs.
Ensure consistent availability of training environments across multiple clusters.
Manage containerization and orchestration systems using Docker and Kubernetes.
Oversee large Kubernetes clusters with GPU workloads.
Improve reliability, quality, and time-to-market of software solutions.
Measure and optimize system performance for continual improvement.
Provide operational support for large-scale distributed software applications.

8+ years of professional experience building core infrastructure systems.
Hands-on experience with core model training principles and frameworks like PyTorch and Hugging Face Transformers.
Familiarity with LLM development, deployment, and optimization techniques.
Experience with high-performance, large-scale ML systems and their infrastructure needs.
Experience with major cloud providers like Google Cloud, AWS, or Azure.
Proficiency with Infrastructure as Code (IaC) tools like Terraform.
Strong scripting skills in Python or Bash, and experience with Git and GitHub workflows.
Expertise in operating orchestration systems like Kubernetes at scale.
Experience with monitoring tools such as Prometheus and Grafana.
Proven track record of building and operating scalable, reliable, and secure systems.
Strong troubleshooting skills for complex systems.
Proactive in identifying problems and performance bottlenecks.
Comfortable working in a dynamic environment with ambiguity.

AWSAzureBashDockerGitGoogle CloudGrafanaHugging Face TransformersKubernetesPrometheusPythonPyTorchTerraform