Propel operational success with your expertise in technology support and a commitment to continuous improvement. 

As a Technology Support III in the Corporate Sector, AI/ML & Data Platforms, you will be tasked with ensuring the operational stability, availability, and performance of our production application flows. Your responsibilities will include troubleshooting, maintaining, identifying, escalating, and resolving any interruptions in production service for all internally and externally developed systems. Additionally, you will be expected to promote a culture of continuous improvement to guarantee a seamless user experience.

Job responsibilities:

Provide resolution of all user and technology issues on the Production instance of the data solution application suite that involves tech troubleshooting on various systems and tools. Bring SRE mind-set to the application support Org. Follow 70-30 Prod Support & SRE hybrid model. Contribute on traceability and observability of the cloud based applications using CloudWatch and Datadog etc. Focus on Toil automation and Self-service tooling to avoid repetitive manual tasks. Support and Technology lifecycle management of the various Cloud and Linux based applications. Coordinate and execute all software deployments into Production environments with the help of automated CI/CD pipeline.' and 'Own major production incidents, working closely with other technology teams in order to resolve business-impacting issues Develop specialist knowledge in relevant systems, sharing that knowledge with team members and global partners Liaising with application development and infrastructure teams targeting on-going development, production activity and release management

Required qualifications, capabilities, and skills:

3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud Experience in observability and monitoring tools and techniques Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework AWS/Cloud based monitoring Experience supporting AWS cloud based applications Python/Shell Scripting AWS services– S3, EC2, Glue, Apache Spark, Snowflake, Argo Workflows, RDS Application Performance monitoring tools : Datadog/Splunk/AppDynamic/Dynatrace/Grafana Schedulers - Glue/Bridge/Step/Control-M / Autosys Monitoring - Geneos, Datadog / CloudWatch

Preferred qualifications, capabilities, and skills:

Strong written and verbal communication skills Strong problem solving skills- Ability to understand complex component/system/service interactions and look for causes and provide solutions. Self-driven & proactive Customer Service Orientation - build positive working relationships with customers at all times providing realistic information and managing their expectations Prior knowledge in JAVA is a plus