Junior AI Platform Support Engineer
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Key Responsibilities
Provide L1/L2 support for applications and infrastructure in production environments. Monitor, investigate, troubleshoot, and resolve technical incidents while ensuring service continuity. Perform incident analysis, identify root causes, and ensure appropriate resolution or escalation. Apply DevOps principles and practices to support day-to-day production operations. Leverage AI tools and technologies to improve support operations, troubleshooting, and issue resolution. Work with modern AI and LLM technologies and adapt to evolving platforms and technical environments. Collaborate with technical teams to diagnose issues and maintain stable and reliable production services. Support cloud-based environments and contribute to continuous operational improvements. Required Qualifications University or college degree in engineering, computer sciences, physics, mathematics or relevant experience in an equivalent domain Excellent communication skills in English 1 to 3 years of experience in DevOps, application support, infrastructure support, or a similar technical role. Hands-on experience supporting applications and/or infrastructure in production environments. Strong troubleshooting, problem-solving, and incident management skills. Solid understanding of DevOps principles, tools, and operational support practices. Familiarity with AI technologies and Large Language Models (LLMs). Experience with cloud environments; Google Cloud experience is preferred, while experience with other cloud platforms is also valuable. Exposure to tools and technologies such as Gemini and GitHub is considered an asset. Ability to quickly learn and adapt to new tools, platforms, and technologies.
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DATA ENGINEER
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