Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures.
Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK).
Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.
Build automated tooling to deploy service requests to push a change into production. Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.
Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR
Lead availability blameless postmortem and own the call to action to remediate recurrences
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What experience you need
BS degree in Computer Science or related technical field involving coding or equivalent job experience required
5-7 years of experience in software engineering, systems administration, database administration, and networking.
2+ years of experience developing and/or administering software in public cloud
Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives.
Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js
Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.)
Proficiency with continuous integration and continuous delivery tooling and practices
Cloud Certification Strongly Preferred
What could set you apart
Cloud certification
Experience developing and/or administering software in the public cloud (GCP is preferred or AWS). GCE/ Data proc clusters (spark or map reduce) job creation /Dataflow apache beam with data encryption/decryption
Experience in languages such as Python, Ruby, Bash, Java, Go, Perl, JavaScript and/or node.js
Data proc/data flow tuning and GKE optimization.
* Exposure and experience in the cloud monitoring/logging(stack driver) design/data modeling, Cloud watch/Cloudability, Postgres and spark/map reduce/Big Query is a huge plus.
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