Programming : Proficiency in languages like Python, Bash, or Java is essential.
Operating Systems : Deep understanding of Linux / Windows operating systems and networking concepts.
Cloud Technologies : Experience with AWS & Azure including services, architecture, and best practices.
Containerization and Orchestration : Hands-on experience with Docker, Kubernetes, and related tools.
Infrastructure as Code (IaC) : Familiarity with tools like Terraform, CloudFormation or Azure CLI.
Monitoring and Observability : Experience with tools like Splunk, New Relic or Azure Monitoring.
CI / CD : Experience with continuous integration and continuous delivery pipelines, GitHub, GitHub Actions.
Knowledge in supporting Azure ML, Databricks and other related SAAS tools.
Soft Skills :
Problem-Solving : Ability to troubleshoot and debug complex distributed systems independently.
Communication : Strong written and verbal communication skills to collaborate with development and operations teams, and able to write documentation like Runbook Experience :
Incident Management : Experience with incident response, root cause analysis, and post-incident reviews.
Scalability and Performance : Understanding of scalability, availability, and performance monitoring for
large-scale systems.
Automation : Experience in automating repetitive tasks and workflows.
Preferred Qualifications :
Experience with specific cloud platforms (AWS, Azure).
Certifications related to cloud engineering or DevOps.
Experience with microservices architecture including supporting AI / ML solutions.
Experience with large-scale system management and configuration.
(ref : hirist.tech)
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Site Reliability Engineer • Delhi, IN
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