DevOps Domain SRE

Primary Responsibilities: 

• Identify key business critical flows and provide Core SRE recommendation to ensure 100% availability of applications from UAT to PERF and PROD.  
• Enable Production management processes in non-production environment to provide environment stability
• Serve as a Domain SRE to support the Problem management, risk management and Change management , CI/CD enablement pipeline for SRE function identified. 
• Partner with other DevOps and Engineering support teams to improve MTTR, MTTM, Other Operation Efficiency Targets and organizational Service Level Agreements. 
• Improve overall resilience and stability of non-production environment by implementing Monitoring and Observability Practices for anything and everything in the system. 
• Identifies and leads the implementation of Service Automation to reduce cost, reduce risk, improve efficiency and enable Service Management to keep up with the ever-increasing volume of with fast pace of newer technologies. 
• Work with USPB and Wealth DevOps Teams and App Dev Teams to conduct blameless post-mortem of major incidents, develop executive briefings, assess major incident impacts and drive service improvements to prevent repeat of an incident 
• Execute Robust Service Readiness process. Identify and classify the risks in the non-production estate, work with DevOps team members to create Service Improvement plans and drive them to closure. 
• Prepare SRE Data Visualization Reports and Metrics for Management and Represent DevOps team in Weekly/Monthly Operation Review Meetings.
• Adopt AIOps automation implemented by Production management. 

Qualifications:

• 3-6 years development or production support experience with North America Consumer applications. 
• Certified SRE Foundation Engineer by DevOps Institute (PeopleCert)
• Solid foundation and understanding of ITIL Concepts.
• Engineering Background in system admin, development, DevOps or equivalent field, preferably with experience in Distributed Consumer applications.  
• Experience/ familiarity with automation technologies, advanced analytics and predictive modeling using AI/ML. 
• Experience in programming in one of the following languages unix shell scripting, Java, Python etc. 
• Strong knowledge in Monitoring and Logging/Traceing Tools like Splunk, AppDynamics, ELK Kibana, Grafana.
• Knowledge of Microservices Architecture and Containerization Technologies like OpenShift, Kubenetes and Google Apigee.
• Knowledge/Certification in Public Cloud Implementation (AWS or Google Cloud) will be a plus.