§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
§ A bachelor’s degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
§ 4\+ years proven experience with Python, Bash, PowerShell, JavaScript, C\#, and Golang.
§ 3\+ years of hands\-on experience in implementing and administering monitoring solutions (Dynatrace, Grafana, Cloud Watch, Azure Monitor).
§ 4\+ years of hands\-on experience in hosting highly available cloud native applications, using auto\-scaling, self\-resilient architectures, across various cloud service providers such as Azure, AWS and GCP.
§ 2\+ years of hands\-on experience with troubleshooting application and infrastructure issues in production environment, with high accuracy, conducting root cause analysis, providing preventive measures based on RCA on multiple cloud providers.
§ 2\+ years of experience in defining SLO and SLI for cloud native applications, measuring, reporting and alerting using custom scripts or monitoring solutions.
§ 1\+ years of experience with AI/ML, GenAI, and specifically AIOps.
§ Prior experience with cloud providers security practices, networking, cloud administration, database technologies and maintenance, firewalls, and load balancers.
§ Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
§ Prior experience using methodologies \& tools such as XP, Lean, SAFe, DevSecOps, CI/CD, SRE, ADO, GitHub, SonarQube, etc. to deliver high\-quality products rapidly.**Other:**
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