Remote SRE: Google Cloud & Self-Healing Automation

66degrees

Oregon

Ibrido

USD 120.000 - 180.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Descrizione del lavoro

66degrees is hiring a Site Reliability Engineer (SRE) to join our Managed Cloud Optimization team. You will protect and optimize cloud deployments, focusing on Google Cloud Platform technologies such as GKE, Anthos, BigQuery, and data pipelines.

You will develop automation with Python and Terraform, implement monitoring, reliability, and self-healing solutions, and work with clients to improve uptime and performance.

Competenze

  • 3+ years cloud and infrastructure experience.
  • 2+ years of Google Cloud experience; certifications preferred.
  • Proficiency with Python.
  • Strong provisioning with Terraform.
  • 24x7 monitoring, incident response, on‑call support.
  • Troubleshooting across systems, network, and code.
  • Experience with SLIs, SLOs, SLAs with product owners.
  • Agile/Scrum and Kanban in SDLC.
  • Ability to work independently and in teams.

Mansioni

  • Ensure near-zero downtime with monitoring and alerting.
  • Create automated, scalable systems.
  • Advise on DevOps and SRE practices for pipelines and HA.
  • Proactively manage workloads, automate tasks, ensure availability.
  • Collaborate with clients, team, and Google engineers.
  • Contribute to documentation, open-sourcing, and improving operations.

Conoscenze

Linux
Windows
Kubernetes (k8s)
Databases
Networking
Python
Agile practices
SDLC collaboration

Formazione

Bachelor’s degree in CS / EE or equivalent

Strumenti

Terraform
Google Cloud (GCP)
Prometheus
Datadog

Descrizione del lavoro

66degrees is hiring a Site Reliability Engineer (SRE) to join our Managed Cloud Optimization team. You will protect and optimize cloud deployments, focusing on Google Cloud Platform technologies such as GKE, Anthos, BigQuery, and data pipelines.

You will develop automation with Python and Terraform, implement monitoring, reliability, and self-healing solutions, and work with clients to improve uptime and performance.

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