Site Reliability Engineer

4 weeks ago

Hyderabad, Telangana, India Spydra Full time

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 Automation & Reliability
  • 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.
  • Develop and maintain Infrastructure as Code (IaC) using Ansible, Terraform, or equivalent.

Monitoring & 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 pipelines.

Performance & Incident Management

  • Lead root cause analysis for infrastructure and application-level incidents.
  • Participate in the on-call rotation and improve incident response processes.

Scripting & 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 toil.
  • Continuous 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 scalability.
Qualifications:

Must-Have:

  • 3+ years of experience as an SRE, DevOps Engineer, or equivalent role.
  • Strong experience with Kubernetes ecosystem and container orchestration.
  • Proficiency in DevOps tooling including Jenkins, ArgoCD, and GitOps workflows.
  • Deep understanding of observability tools, with hands-on experience using Thanos and Prometheus stack.
  • Experience with ML platforms (MLflow, Kubeflow) and supporting GPU workloads.
  • Strong scripting skills in Python, Shell, Ansible, or Groovy.

Preferred:

  • CKS (Certified Kubernetes Security Specialist) certification.
  • Exposure to Big Data platforms (e.g., Spark, Kafka, Hadoop).
  • Experience with cloud-native environments (AWS, GCP, or Azure).
  • Background in infrastructure security and compliance.

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