Date Posted: 20-Jul-2024 | Qualification: B.E/B.Tech, MCA, ME/MTech
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Position: Moogsoft Lead
Skills Required: Moogsoft, AWS, Netcool, Splunk
Employment Type: Full Time
Location: India
Job Mode: Work from Home
Experience: 6 - 10 (years)
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JD for Moogsoft Lead role Key responsibilities
Configure and maintain the Moogsoft AIOps platform to meet business requirements.
Develop and implement event management and correlation rules to identify and respond to incidents proactively.
Integrate Moogsoft with various monitoring tools and systems to consolidate alerts and events.
Monitor the performance and health of the Moogsoft platform, ensuring high availability and reliability.
Collaborate with IT operations and development teams to design and implement automated workflows and remediation actions.
Analyze incident data and provide insights to improve system performance and reduce downtime.
Provide technical support and training to internal teams on using the Moogsoft platform.
Stay updated with the latest developments in Moogsoft and AIOps technologies and recommend improvements. Must
6+ years of hands-on experience in AWS, specifically with Moogsoft or any Event management tool. Experience with other AIOps or ITSM platforms.
Knowledge of machine learning and data analysis techniques.
Experience with DevOps practices and tools.
Proven ability to lead and mentor a team.
Strong experience in ServiceNow and integration across various platforms.
Familiarity with AWS services, Data ingestions pipelines and other services.
Strong problem-solving skills and the ability to think critically.
Excellent communication skills, both written and verbal.
AWS Cloud formation knowledge (Continuous Integration, Continuous Deployment, Continuous Testing)
Perform processing on unstructured data and do text analytics.
Self-management skills with a focus on results for timely and accurate completion of competing deliverables
Ability to analyze, design, and implement components by applying best practices and coding standards
Demonstrated problem solving ability and attention to detail Good
Knowledge of analytics and machine learning lifecycles is beneficial. Python Java knowledge is preferred
Comfortable using GitHub and Python programming language
Bachelor's degree in Computer Application/Engineering preferred
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