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AI Ops Engineer
3 months ago
Title: AIOps Engineer
Location: Hartford, CT
Type: Fulltime/Contract
Key Responsibilities:
- Design, develop, and deploy AIOps solutions to improve IT operations efficiency.
- Integrate AI and machine learning technologies into existing IT infrastructure for enhanced monitoring, incident management, and automation.
- Monitoring and Analysis: Implement and maintain advanced monitoring tools and platforms.
- Analyze system performance, identify trends, and provide actionable insights to optimize operations.
Incident Management:
- Develop and manage automated incident response and resolution processes.
- Utilize AI-driven tools to detect, diagnose, and resolve IT issues proactively.
- Collaboration and Support:
- Work closely with IT operations, development, and data teams to understand requirements and deliver effective AIOps solutions.
- Provide technical support and expertise for AIOps tools and platforms.
Continuous Improvement:
- Stay updated on the latest AIOps trends, tools, and technologies.
- Propose and implement improvements to existing AIOps practices and tools.
- Documentation and Training:
- Create and maintain comprehensive documentation for AIOps processes and tools.
- Train team members and stakeholders on AIOps best practices and tools.
Qualifications:
- Proficiency in AIOps tools and platforms (e.g., Moogsoft, Splunk, Dynatrace, etc.).
- Strong understanding of machine learning and AI technologies.
- Experience with programming/scripting languages (e.g., Python, Java, Shell scripting).
- Knowledge of IT infrastructure components (e.g., servers, networks, databases).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes) is a plus.