Industry Provide middleware support and configuration management for application dependant software i.e. important metrics about reliability and availability Support operational excellence goals through strong operations operations knowledge. Resolve escalated support topics as part of tier-3 DevOps role to ensure the highest highest availability of critical applications. Reference Number for this position is GZ58966 which is a
operationalise large scale enterprise data solutions and applications Analyse, re-architect and re-platform on-premise transition path to AWS cloud. Design, implement and support an analytical data infrastructure providing ad-hoc big data technologies and Kafka CC. Create and support real-time data pipelines built on AWS technologies
Management Coordination between development and support environments Translating and simplifying requirements tools, techniques and approaches used to build application solutions Working knowledge with software development tools, techniques and approaches used to build application solutions Cloud computing technologies, Business
the migration of services to AWS for applications and the support thereof. The manufacturing group works
and Oracle Kafka IIB AWS Cloud (migration of applications to the cloud, deployment on AWS, development deployments Logging and tracking tickets to external support Troubleshooting deployments Debugging remote services
analytics/warehouse capability and specialising in AI and applications and helping enterprise clients to extract business develop data warehousing and data lake solutions to support business needs Implement ETL processes using tools
trustworthy data to support high performing ML algorithms, predictive models and support real-time data visualisation
and maintaining the frontend and backend web applications which includes working with our customer facing low-latency, high-availability, and performant applications Implementation of security and data protection
the design and development of frameworks and applications, seamlessly integrating pieces in the CI/CD of Apache Spark Architecture and YARN (Spark application build will not be required) Bash scripting and
backend and frontend user stories and providing support for existing solutions (DevOps) If you want to