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Site Reliability / Platform Engineer (Expert)

Remote, US

Posted: 10/06/2023 Job Number: RB509515106-1

Job Description

Description:Site Reliability / Platform Engineer (Expert) What you will do is why you should join us:Be a critical senior member of a platform engineering team focused on creating processes, tools, infrastructure and shared code in support of high throughput, low latency data services.Take pride in software craftsmanship, and continuously improve and innovate a platform serving multiple development teams solving complex problemsWork with other top-level talent solving a wide range of complex and unique challenges that have real world impactExplore relevant technology stacks to find the best fit for each datasetPursue opportunities to present our work at relevant technical conferencesGoogle Cloud Next 2019: https://www.youtube.com/watch?v=fqvuyOID6v4GraphConnect 2015: https://www.youtube.com/watch?v=6KEvLURBenMGoogle Cloud Blog: https://cloud.google.com/blog/products/containers-kubernetes/google-kubernetes-engine-clusters-can-have-up-to-15000-nodes• Project your talent into relevant projects. Strength of ideas trumps position on an org chart If you share our values, you should have:At least 5 years experience in software engineering or site reliability engineeringAt least 5 years experience with Go, Python or other mainstream programming languageAt least 3 years of experience with infrastructure as code implementations, such as Hashicorp Terraform.At least 3 years of experience with one or more cloud platforms, GCP preferred.At least 2 years of experience deploying, and managing applications in Kubernetes.Experience with application and environment observabilityFamiliarity with SLO terminology, error budgets, etc.Expertise in tuning resource allocation in production environments   Bonus points for:• Experience with protocol buffers and gRPC• Experience working with scientific datasets, or a background in the application of quantitative science to business problems• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

Additional Information

Envision, LLC is proud to be an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Meet Your Recruiter

Nick Maranan
Sr. IT Recruiter

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