What are the responsibilities and job description for the Platform Engineer/Python Engineer position at Saxon Global?
Platform Engineer / Python Engineer
Client : Starbucks
Location : Seattle, WA - locals
Visa : USC / GC Only
Rate : $70 / hr C2C
Duration : 6 months contract
URGENT ROLE NEED CANDIDATES ASAP!!
Hybrid role and must be local
candidates have lacked the IAAS and PAAS experience
Our client is seeking a Senior Platform Engineer / Python Engineer to join their engineering team. This engineer will also need to be skilled with Infrastructure As A Service and the supporting / enabling tools.
Required Skills - Python, Platform engineering, Infrastructure As A Service
Job Duties -
Platform Engineering using Python
Strong understanding of Continuous Delivery and Integration frameworks including deployment automation, configuration management, test, and source code / git repositories; experience with containers desired
Experience using Git and continuous delivery build systems (build / test / release infrastructure, Jenkins preferred)
Experience and preference for working within an Agile / Scrum environment Knowledge of core internet protocols including, but not limited to TCP / IP, DNS, HTTP
Knowledge of network administration including, but not limited to Load balancers, VLAN, IP sub netting, proxies and firewalls, architecture, and core technologies (DNS, routing, iptables etc.)
Experience supporting LDAP services in an enterprise environment"
Job Requirements -
8 years software engineering using Python
8 years of experience building automation / configuration management infrastructure such as Ansible, Terraform, Chef, and / or Puppet Experience leveraging Docker within a local development workflow
6 years of experience with deployment of production code leveraging Docker containers
3 years of experience of building CI / CD pipelines using ADO (AzureDevOps)
3 years of experience in Java, Perl, and / or Ruby
Strong background in Linux administration and network administration
Experience using cloud services (AWS and Azure preferred); public cloud IaaS and PaaS services
Experience with large-scale distributed systems architectures. Examples include Java / Spring Boot, CQRS, event streaming, Kafka, Spark Knowledge in databases"
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