Hands-on experience in DevOps / AIOps, skilled in Shell & Python scripting.
Solid knowledge of public cloud & private cloud, with cloud project delivery experience.
Experience with APM & BCM tools (AppDynamic, Dynatrace); able to troubleshoot applications and optimize performance. Familiar with Zabbix, Grafana, Prometheus monitoring stack.
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You will be working closely with software engineers, data engineers, data scientists and product managers to ensure smooth deployment and operation of systems
Troubleshoot issues across production and non-production environments, conduct root cause analysis, and implement preventive solutions to strengthen platform reliability.
You will be identifying the resource inefficiencies, optimize platform performance and costs, and progress, risks, and recommendations to stakeholders.
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Define and document standard operating procedures and runbooks for using automation and tools (how to request changes, how pipelines work, how to roll back)
Support incident and problem management by providing tooling, diagnostics scripts, and data exports to accelerate root cause analysis and post incident reviews
Strong practical Python and shell scripting skills to build automation, small tools, and integrations without existing frameworks
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