Minimum 7 years of work experience as an SRE (not Traditional Production Support) covering integration platforms on cloud-based deployments
Coding / automation scripting experience in any programming language, particularly for integration tier and middleware
Working as a DevOps Engineer or SRE in mission critical applications and infrastructure
Working experience with GCP (Google Cloud), particularly with GKE is important
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

Core Capabilities
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
GCP and private-cloud operational support / administration activities such as provision, capacity management, reliability management, monitoring, restoration, etc
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 24 / 7 on-desk operation

Qualification

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