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 etc.
Specific 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.
Job Type: Full-time
Schedule:
Day shift
Work Location: In person
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