Infrastructure as Code Engineer/Python Engineer

  • Seattle, WA
  • Posted 4 days ago | Updated 3 days ago

Overview

On Site
Contract - W2
Contract - CON_W2

Skills

Python
Platform engineering
Infrastructure As Code
Automation Must have a software engineering/problem solving background.

Job Details

Job Title : Infrastructure as Code Engineer/Python Engineer
Location :Seattle, WA - Locals only
Duration : Long Term.


onsite interview required**


Required Skills -

Python, Platform engineering, Infrastructure As Code, Automation

Must have a software engineering/problem solving background.

Job Duties -

Platform Engineering: highly proficient with tools like Ansible, Docker, Kubernetes, and Terraform; deep experience building and maintaining CI/CD pipelines, automating deployments, and managing infrastructure as code
Strong scripting abilities, particularly in Python and shell scripting, for automation, data manipulation, and system administration tasks
Architecting and building internal software tools. Must have a software engineering/problem solving background.
Experience with Distributed Systems and Microservices: The roles and responsibilities involve working with complex, distributed systems and microservices architectures
Strong understanding of CI/CD including deployment automation, configuration management, test, and source code/git repositories
Experience with containers and orchestration
Experience with NoSQL and SQL databases, including at an administration and architecture level
Experience and preference for working within an Agile/Scrum environment
Experience with monitoring tools (Prometheus, Grafana for example) and the ability to diagnose and resolve performance and availability issues in distributed systems
A strong history of diving in and solving complex problems

Job Requirement :

8 years software engineering
4%2B years of software engineering in App Dev capacity
4%2B years of automation and scripting using Python
8%2B years of experience building automation/configuration management infrastructure such as Ansible, Terraform, Chef, and/or Puppet
8%2B years of experience of building CI/CD pipelines
6%2B 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


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