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Medium competition due to a common mid-level devops profile with broad cloud and observability requirements.
Low because platform support and devops skills are broadly transferable across industries.
High because of an explicit 2–5 years requirement plus mandatory cloud, Kubernetes, and observability skills.
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Ensure reliability, availability, and performance of cloud-native production platforms through monitoring and incident resolution.
Perform root cause analysis using logs, telemetry, metrics, and SQL; develop automation and operational tooling in Python or Bash.
Collaborate with engineering teams to improve platform stability, support deployments, and build operational documentation and dashboards.
2–5 years experience supporting cloud-native applications or production platforms.
Proficiency in Python and SQL; Bash scripting is a plus.
Experience with observability tools like Elasticsearch/Kibana, Grafana, Prometheus, Datadog, or New Relic.
Familiarity with cloud platforms (GCP preferred, AWS/Azure acceptable), Linux, REST APIs, networking fundamentals, distributed systems, and CI/CD, Git, Docker, Kubernetes.
Experienced troubleshooting engineer with strong analytical skills and an engineering-first mindset.
Comfortable taking ownership of production incidents and driving issues to resolution using data and observability.
Skilled in automation and operational excellence, leveraging AI-assisted tools to enhance productivity in a fast-paced engineering environment.