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greenhouse

Sr. DevOps Engineer, Data Platform

netskope
IND
Onsite
Discovered 2 weeks ago
Production operationsPythonDockerKubernetesPublic cloud infrastructureAWS
Free

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Production operationsPythonDocker
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About the role

The engineer will ensure reliable operation of production environments for Data Infrastructure and products.

The role focuses on system reliability, routine-task automation, and production efficiency across large-scale distributed cloud systems.

The team is hiring across levels and will assess and level candidates individually based on skills and experience.

What you will be doing

  • Monitor system performance, error rates, and resource utilisation with observability dashboards.
  • Define dashboards and alerts and write technical runbooks for incident response.
  • Respond to production alerts, mitigate issues, escalate complex problems, and conduct root cause analysis.
  • Automate repetitive manual tasks.
  • Create, test, and maintain automated application deployment pipelines.
  • Track CPU, memory, storage, and traffic volume to support capacity forecasting and infrastructure scaling.

Technology environment

  • The role uses Docker, Kubernetes, networking, and public cloud platforms such as AWS and GCP.
  • Required technical knowledge includes Linux or Unix command-line environments and HTTP, gRPC, DNS, and TCP/IP.
  • Grafana, Prometheus, Terraform, and GitHub Actions are listed as advantageous technologies.

Required skills and experience

  • At least 5 years of relevant technical industry experience.
  • Proficiency in at least one scripting language, with Python preferred.
  • Hands-on experience with Docker, Kubernetes, and related cluster concepts.
  • Strong understanding of public cloud infrastructure, with AWS preferred and GCP considered.
  • Working knowledge of Linux or Unix and core web protocols.
  • Willingness to participate in an on-call rotation.
  • BSCS or equivalent required; MSCS or equivalent strongly preferred.

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