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Title- Senior Platform Engineer / Software Engineer
Location: Seattle, WA - Hybrid from day 1
The team needs a IAAS focused python Engineer. The team uses azure, but AWS experience is ok as well. This is a hybrid role, 3 days a week in office.
Opening / Selling Statement - Our client is seeking a Senior Platform Engineer / Software Engineer to join their engineering team. Perfect for a skilled software engineer who also has cloud and infrastructure experiences and looking to grow. Great opportunity for software tooling.
Job Duties -
• Platform Engineering: provisioning and deprovisioning of Azure resources using Terraform
• Building automation tasks using Python
• Architecting and building internal software tools.
• 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, ADO / Azure Devops 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.)
Job Requirements -
• 8 years software engineering
• 4+ years of software engineering in App Dev capacity
• 4+ years of automation and scripting 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
• 8+ years of experience of building CI/CD pipelines using ADO (Azure DevOps)
• 6+ years of experience with deployment of production code leveraging Docker containers
• 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
• Strong background in Linux administration and network administration
Date Posted: 07 April 2025
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