Java + SRE Engineer with AI Knowledge
Job Description
About this kind of role
What a Java + SRE Engineer with AI Knowledge usually does. The employer's own details are in the listing.
Typically does: This role combines software engineering and site reliability engineering responsibilities, focusing on Java-based applications. It involves developing, testing, and deploying code while also ensuring the stability, performance, and scalability of systems. Troubleshooting production issues, automating infrastructure tasks, and implementing monitoring solutions are also common duties. A key aspect is integrating artificial intelligence or machine learning components into the application and infrastructure.
Tools and skills: Proficiency in Java, experience with cloud platforms (like AWS, Azure, or Google Cloud), scripting languages (Python, Bash), containerization technologies (Docker, Kubernetes), and familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack) are generally required.
Good fit for: Individuals with a strong background in both software development and systems administration, and an interest in applying AI principles to improve system reliability, will likely thrive in this position.
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