- 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.
- Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands.
- 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.
- 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.
- 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.
- 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 and experienced deploying application in a containerized environment using Docker/Kubernetes/PCF/Openshift/AWS etc.
- Hand-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Prometheus, Splunk, Elasticsearch, Grafana
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