Senior Application Support Engineer

About the role

Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions. Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands. Adhere to firm-wide architecture standards, risk management and security policies. Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application. Develop, test, and debug automated tasks (Apps, Systems, Infrastructure) Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally. Troubleshoot priority incidents, facilitate blameless post-mortems. Work with development teams throughout the software life cycle ensuring sustainable software releases. Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development. Participate in quality assurance, peer reviews and code reviews Qualifications. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Experience supporting and working with cross-functional teams in a dynamic environment. Up to date with latest ongoing technologies in the industry Well-spoken/Articulate and Emotionally intelligent Well connected to industry members, attends developer and tech meetups. Strong understanding of DevOps practices, tools, and techniques. Degree in Computer Science/ IT or other related fields Experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc. Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, shell scripting. Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Good understanding of networking protocols and cybersecurity best practices in public cloud environment Advanced working SQL knowledge and experience working with RDBMS, Hadoop, and NoSQL DB. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. In-Depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills. Hand-on experience especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana

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Company Intel

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