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Spydra - Site Reliability Engineer - DevOps

3 years

0 Lacs

Hyderabad Telangana India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

reliability devops kubernetes support learning optimization data scalability ml automation design jenkins github code ansible terraform monitoring logging mlflow tensorflow training inference management analysis automate service deployment python collaboration engineering security integrity tooling gitops scripting spark kafka aws gcp

Work Mode

On-site

Job Type

Full Time

Job Description

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 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 & 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 & Incident Management :
  • Lead root cause analysis for infrastructure and application-level incidents.
  • Participate in the on-call rotation and improve incident response & 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 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 :
  • 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 :
  • 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.
(ref:hirist.tech)

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