Staff Service Reliability Engineer - Python, Splunk & Datascience

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.