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3 to 5 years of work experience as an SRE (not Traditional Production Support) covering integration platforms on cloud-based deployments.
Coding experience in any programming language, particularly for integration tier and middleware.
Working in a 24x7 operations support model for mission critical applications and infrastructure using ServiceNow as the ITSM ticketing tool.
Working with AppDynamics and Splunk for monitoring and setting up observability is key.
CI/CD tool-chains, setting up and running deployment pipelines and propagating changes on different environments.
Maintaining middleware such as Kafka (open-source) and MQ as well as application servers (Tomcat).
Maintain Hazelcast Data storage platform clusters and Control M job schedulers.
Kubernetes cluster management, monitoring and remediation. Knowledge of Docker is important.
Automating deployments and scripting self-healing workflows based on telemetry.
Define SLIs and configure SLOs, respond to threshold alerts and optimize monitoring capability.
Work with code as well as configuration artifacts to debug and fix issues that may arise.
Knowledge of applying SRE practices to daily operations is key.
Must be inclined to work on proof-of-concept solutions to optimize reliability such as those incorporating AI models for event correlation and assisted triaging.
Ability to work in shifts in office is mandatory; this is a 24x7 on-desk operation. Computer Science and/or Engineering degrees are preferred.
SRE Foundation certification by DevOps Institute or any other equivalent certification on SRE by a recognized body is mandatory.
CKA certification.
GCP Cloud Digital Leader certification at a minimum is mandatory; Cloud Engineer level is a bonus.
Hazelcast Platform Operations certification badge.
3 to 5 years of work experience as an SRE (not Traditional Production Support) covering integration platforms on cloud-based deployments.
Coding experience in any programming language, particularly for integration tier and middleware.
Working in a 24x7 operations support model for mission critical applications and infrastructure using ServiceNow as the ITSM ticketing tool.
Working with AppDynamics and Splunk for monitoring and setting up observability is key.
CI/CD tool-chains, setting up and running deployment pipelines and propagating changes on different environments.
Maintaining middleware such as Kafka (open-source) and MQ as well as application servers (Tomcat).
Maintain Hazelcast Data storage platform clusters and Control M job schedulers.
Kubernetes cluster management, monitoring and remediation. Knowledge of Docker is important.
Automating deployments and scripting self-healing workflows based on telemetry.
Define SLIs and configure SLOs, respond to threshold alerts and optimize monitoring capability.
Work with code as well as configuration artifacts to debug and fix issues that may arise.
Knowledge of applying SRE practices to daily operations is key.
Must be inclined to work on proof-of-concept solutions to optimize reliability such as those incorporating AI models for event correlation and assisted triaging.
Ability to work in shifts in office is mandatory; this is a 24x7 on-desk operation. Computer Science and/or Engineering degrees are preferred.
SRE Foundation certification by DevOps Institute or any other equivalent certification on SRE by a recognized body is mandatory.
CKA certification.
Hazelcast Platform Operations certification badge.
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