High-Performance System Architect

1 week ago

Hyderabad, Telangana, India beBeeReliability Full time ₹ 20,00,000 - ₹ 30,00,000
Site Reliability Engineer

We are seeking a highly skilled and self-driven Site Reliability Engineer to join our dynamic team.

This role is ideal for someone with a strong foundation in Kubernetes, DevOps, and observability who can also support machine learning infrastructure, GPU optimization, and Big Data ecosystems.

You will play a pivotal role in ensuring the reliability, scalability, and performance of our production systems, while also enabling innovation across ML and data teams.

Key Responsibilities:

  • Infrastructure Management :
    • Design, build, and maintain Kubernetes clusters across hybrid or cloud environments (e.g., EKS, GKE, AKS).
    • Implement and optimize CI/CD pipelines using tools like Jenkins, ArgoCD, and GitHub Actions.
  • Observability :
    • Deploy and maintain monitoring, logging, and tracing tools (e.g., Thanos, Prometheus, Grafana, Loki, Jaeger).
    • Establish proactive alerting and observability practices to identify and address issues before they impact users.
  • ML Ops & GPU Optimization :
    • Support and scale ML workflows using tools like Kubeflow, MLflow, and TensorFlow Serving.
    • Work with data scientists to ensure efficient use of GPU resources, optimizing training and inference processes.
  • Incident Management :
    • Lead root cause analysis for infrastructure and application-level incidents.
    • Participate in the on-call rotation and improve incident response times.
  • Automation :
    • Automate operational tasks and service deployment using Python, Shell, Groovy, or Ansible.
    • Write reusable scripts and tools to improve team productivity and reduce manual errors.
  • Learning & Collaboration :
    • Stay up-to-date with emerging technologies in SRE, ML Ops, and observability.
    • Collaborate with cross-functional teams including engineering, data science, and security to ensure system integrity and compliance.

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