Cloud Engineer will be working on developing and maintaining the corporate messaging infrastructure ensuring message delivery, security, retention, and recoverability of the topics and messages. The role will have opportunities to work on various platforms managed by the team including Kafka, Apigee, Kong and Sonic MQ deployed on Cloud as well as on premise datacenters. The role will also work on on-call support, troubleshooting issues reported by client teams and provide resolutions.
Work on large scale multi-nodes Kafka clusters residing on AWS and on-prem Datacenters.
Perform high-level, day-to-day operational maintenance, support, and upgrades for the Kafka Cluster.
Monitor key performance metrics, measuring the utilization, and overall health of the cluster.
Research and recommend innovative, and where possible, automate key administration tasks.
Ability to closely collaborate with application teams on code releases and troubleshooting issues.
Perform high-level, day-to-day operational maintenance, support, and upgrades for the Kafka cluster
Work on developing and maintaining API Gateway platforms such as Apigee, Kong and Axway.
Hands-on experience with Kafka clusters hosted on AWS and on-prem infrastructure.
Experience in open source or Confluent Kafka, zookeepers, Kafka connect and schema registry.
Experience in High availability cluster setup, maintenance and ongoing 24/7 support
Establish best practice standards for configuring Kafka brokers, topics and consumer groups.
Hands on experience in standing up and administrating Kafka platform from scratch which includes creating a backup & mirroring of Kafka Cluster brokers, broker sizing, topic sizing, h/w sizing, performance monitoring, broker security, topic security, and access management (ACL)
Ability to concentrate on a wide range of loosely defined complex situations, which require creativity and originality, where guidance and counsel may be unavailable.
Demonstrate a product mindset with an ability to set forward thinking and direction.
Good Knowledge on API Gateways such as Apigee and authorization frame works.
Experience in building Kafka pipelines using Terraform, Ansible, and Cloud formation templates
Experience in setting up Prometheus/Grafana or ELK monitoring tools is a plus.
Experience as Linux (RHEL) /Unix administrator is huge plus.
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $68,300 - $155,900 . Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive bonus/a sales commission plan.
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