Platform Engineer/Python Engineer
19 hours ago
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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