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.

#WeAreCisco (This is the Standard and cannot be changed)

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. 

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. 

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! 

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!