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Staff Service Reliability Engineer - Python, Splunk & Data science Cisco

14.0 - 18.0 years

18 - 22 Lacs

Bengaluru

Work from Office

Meet the Team We are seeking a highly skilled Staff Service Reliability Engineer to 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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Hiring Alert- Splunk Engineer PAN India (Immediate Joiners) Mount Talent Consulting

4.0 - 9.0 years

4 - 9 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

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Proven experience as a Splunk Engineer with a focus on Splunk Cost Management, Performance Bottlenecks, search and dashboard optimization. Optimize search queries and ensure efficient use of resources within the Splunk environment Strong understanding of Splunk architecture, search processing language (SPL), and data models Proficiency in system monitoring and triaging with monitoring tools Proficiency in scripting languages such as Python. Excellent problem-solving and analytical skills. Excellent Communication skills and ability to handle multiple teams / stakeholders. Roles & Responsibilities: List down all Splunk Dashboards across all apps Perform clean-up of unused ones Optimize Splunk Queries for heavy usage dashboards Splunk Index level access to be tracked and understand the usage cost (Users vs Cost) Revisit all standard queries and publish optimized Splunk queries Educate and groom team on these practices All this to be done for 80-100 Splunk indexes and direct 240+ RTS team Please also note that Build users also access Splunk Pls share cvs at [HIDDEN TEXT]

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