Cloud Engineer (Full Time, San Mateo, CA)

Description:

This position is in a fast-growing company created to meet the global demand for local climate and weather information to protect and develop assets, and to manage risk in operations. You will work with data scientists, physical scientists, and software engineers to implement, interpret, and scale hydrologic and hydraulic modeling capabilities globally, with an emphasis on urban areas. An exceptional scientific and technical staff, with experience in environmental modeling, impacts, and machine learning will be part of the team deploying models in an elastic computing environment.

Summary

    • Build the infrastructure and pipelines for  ClimateScore Intelligence Platform
    • Build the Deployment and Development pipelines for our ClimateScore products
    • Standardize AWS development and Continuous Delivery for developer pipelines and workflows
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Duties and Responsibilities
    • Develop and deploy our current platform on AWS with velocity and portability
    • Enhance the portability of the current platform that uses Amazon Compute, Amazon Simple Storage Service, Amazon DynamoDB, Kinesis etc. as data stores to AWS and or Azure
    • Help build the next version of the application and the platform using automated pipeline to integrate model chain and data by using Amazon Kinesis, AWS Lambda, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Workflow Service (Amazon SWF)
    • Use Amazon ElastiCache and Amazon CloudFront to improve application scalability
    • Deploy applications and simulations using AWS Elastic Beanstalk and AWS CloudFormation
    • Manage continuous delivery
    • Travel Requirements : Minimal travel required

Attributes:
    • Deep understanding of managing large scale infrastructure
    • Deep understanding of building and managing large scale software deployments
    • Excellent understanding of system and cloud based Administration and Monitoring
    • Hands on experience with AWS or Azure
    • Hands on with Kubernetes and Helm
    • Deep understanding of challenges with orchestrating large-scale applications and or simulations
    • Experience with linux, pearl or python scripting
    • Some experience with Puppet, Chef or Ansible

Skills:

azure, elastic beanstalk, kubernetes, dev ops, elasticache, aws lambda, helm charts, helm
Please review all application instructions before applying.

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