Application Support Lead

Responsibilities Have a solid technical skill with diversity of thought and creative solutions that are in the best interests of our customers globally. Develop, test, and debug automated tasks (Apps, Systems, Infrastructure). Troubleshoot priority incidents and facilitate blameless post-mortems. Work with development teams throughout the software life cycle to ensure sustainable software releases. Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions. Build and drive adoption for greater self-healing and resiliency patterns. 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. Collaborate with global teams, product owners, and business teams to develop, build, and support applications. Communicate and collaborate on development items with global teams, and raise/work to resolve issues impacting development. Provide post-production application support. Participate in quality assurance, peer reviews, and code reviews. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Have a good understanding of networking protocols and cybersecurity best practices in a public cloud environment. Possess advanced working SQL knowledge and experience with RDBMS, Hadoop, and NoSQL DB. Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. A successful history of manipulating, processing, and extracting value from large datasets. Have 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. Strong understanding of DevOps practices, tools, and techniques. A degree in Computer Science/IT or other related fields. Experience deploying applications in a containerized environment using Docker/Kubernetes/PCF/OpenShift/AWS, etc. In-depth OS experience (RHEL, Ubuntu, Windows Server) with strong debugging, troubleshooting, and problem-solving skills. Experience in site reliability engineering in one of the following languages: Python, Java, PowerShell, or shell scripting. Hands-on experience with cloud-based technologies and tools, especially in deployment, monitoring, and operations, such as Prometheus, Splunk, Elasticsearch, and Grafana. Strong working knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins. #J-18808-Ljbffr