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Senior Devops Engineer

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Summary

Senior DevOps engineer in Hyderabad (on-site) who builds and maintains cloud infrastructure automation, CI/CD pipelines, and Kubernetes environments, with responsibilities extending to supporting AI platform operations and model deployment. Core stack: AWS/Azure/GCP, Docker/Kubernetes, Terraform, and Python/Bash scripting.

JD:


Senior DevOps Engineer

Must-Have Technical Skills

  • Strong experience in DevOps engineering and infrastructure development.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Strong knowledge of Docker and Kubernetes.
  • Experience in CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
  • Expertise in Infrastructure as Code (Terraform, Ansible, or CloudFormation).
  • Strong scripting and automation skills using Python, Bash, or Shell.
  • Experience with Linux administration and system troubleshooting.
  • Knowledge of networking concepts, load balancing, DNS, firewalls, and security.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, or Datadog.
  • Understanding of cloud security, IAM, secrets management, and access controls.
  • Experience in production support, incident management, and root cause analysis.

Good-to-Have Skills

  • Exposure to AI/ML platform infrastructure and operations.
  • Knowledge of MLOps and LLMOps practices.
  • Experience with GPU-based infrastructure and accelerated computing.
  • Understanding of model serving frameworks such as NVIDIA Triton, KServe, or MLflow.
  • Exposure to AI frameworks and platforms such as TensorFlow, PyTorch, or Hugging Face.
  • Knowledge of workflow orchestration tools such as Airflow or Kubeflow.
  • Experience with scalable distributed systems and microservices architecture.

Roles and Responsibilities

  • Develop and maintain infrastructure automation solutions.
  • Manage cloud-native infrastructure and Kubernetes environments.
  • Implement automated deployment and release management processes.
  • Support AI platform operations and model deployment workflows.
  • Ensure infrastructure reliability, availability, and scalability.
  • Identify and resolve performance bottlenecks and operational issues.
  • Maintain infrastructure documentation and operational procedures.
  • Work with cross-functional teams to deliver reliable AI platform solutions.

Behavioral Competencies

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and manage multiple priorities.
  • Strong ownership and accountability.
  • Ability to work in Agile and DevOps environments.
  • Continuous learning mindset and adaptability to emerging technologies.

Skills

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