• 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, facilitate blameless post-mortems.
• Work with development teams throughout the software life cycle ensuring 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.
• Team player and ability to work in Global Team setup, product owners and business team to develop, build & support application.
• Communicate and collaborate on development items with global team, as well as raise/work to resolve issues impacting development.
• Postproduction application support
• Participate in quality assurance, peer reviews and code reviews Qualifications.
• 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.
• 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.
• 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.
• 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, shell scripting.
• Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Terraform and Jenkins.