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Software EngineeringJob Details
* Architect our approach to managing our services on different public cloud substrates
* Designing and building deployment automation and change pipelines
* Leading efforts to improve monitoring, alerting, and incident response
* Coaching other engineers on best practices for designing and operating reliable systems at scale
* Contributing to prominent open-source projects
* Measuring and improving the performance and availability of Kubernetes and Kafka
* Building deep expertise with public cloud substrates, Kubernetes and Kafka (or perhaps you already have this?)* Atleast 1-2 years of Lead/PMTS experience
* Atleast 3 years experience working on any one of BigData Distributed Services
* Minimum 8 years of experience as Software Engineer
* Experience with Java and any scripting language in a Linux/UNIX data center environment
* Experience in Distributed Systems
* Experience with one or more public cloud substrates e.g. AWS, Azure, GCP
* Experience with one or more of: Kafka, Spark, Kubernetes, Docker, Hadoop, Spinnaker, Terraform
* Experience owning and operating multiple instances of a mission-critical service
* Experience with Agile development methodology and Test-Driven Development
* Experience using telemetry and metrics to drive operational excellence
* Optional: Prior experience with Kafka as a service
* MS or BS in Computer Engineer/Science or related field, or
* Relevant work experience with demonstrated success in the above areas at scale
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