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Cisco Staff Service Reliability Engineer India, Karnataka, Bengaluru 924838444
Yesterday
We are seeking a highly skilledto lead the deployment and optimization of Splunk for monitoring non-production, Engineering research and development equipment and workloads. This individual contributor role requires a strategic thinker with extensive experience in diverse IT environments and a comprehensive understanding of various hardware and operating systems, including testing equipment.
Your Impact
- Splunk Deployment: Lead the deployment and ongoing management of Splunk to monitor non-production research and development resources in labs.
- Dashboard Optimization: Design and optimize dashboards to enhance data visualization and provide actionable insights.
- Data Feed Integration: Manage the integration of multiple data feeds into Splunk to ensure effective monitoring and analysis.
- AI Utilization: Leverage AI technologies to analyze alerting data, identify trends, and generate meaningful insights for operational improvements.
- Best Practice Implementation: Implement industry best practices in monitoring and observability to enhance system reliability and performance.
- Collaborative Engagement: Engage with cross-functional teams to align monitoring solutions with organizational objectives. Lead and/or participate in global cross-functional meetings and discussions. Flexible (non-India Standard Time (IST)) hours may be required.
- Documentation: Develop and maintain comprehensive documentation of monitoring processes and system configurations.
Minimum Qualifications
- Experience : BE/M.tech with 14+ years of experience in managing IT systems across a range of environments with diverse hardware and operating systems.
- Splunk Expertise : Proven expertise in Splunk administration, including dashboard creation and data integration.
- Problem Solving : Strong problem-solving skills with the ability to address complex technical challenges.
- Communication : Excellent communication skills to effectively convey technical concepts to various stakeholders.
- Team Collaboration : Ability to work collaboratively with team members and contribute to a positive team dynamic.
Preferred Qualifications
- B.E / M.Tech in Computer Science or Information Technology with 14 – 17 years of hands on experience
- Proficiency in Python with hands-on experience and exposure in developing machine learning, deep learning and data science
- Demonstrated expertise in Python scripting for developing, automating, and integrating scalable solutions.
- Proven proficiency in Java with a solid foundation in object-oriented design and application development.
- Extensive experience in implementing and tuning machine learning algorithms to solve complex problems.
- Ability to integrate machine learning models within both Python and Java-based applications for seamless functionality.
- Strong analytical skills with a proven track record of leveraging programming and ML techniques to drive data-driven decision making.
- Demonstrated proficiency in SQL for data manipulation and extraction, with a focus on optimizing complex queries for performance.
- Extensive experience in designing, maintaining, and scaling relational databases to support enterprise applications and machine learning workflows.
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