DevOps Engineer/AWS/Python/Remote
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-02-22
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IT/Tech
Systems Engineer -
Engineering
Systems Engineer
This is a Remote (U.S. – CST or EST preferred) Contract-to-Hire opportunity with a large enterprise technology organization supporting complex AWS-based infrastructure environments. The team is seeking a Dev Ops / Infrastructure Automation Engineer with strong Python experience to help evolve and modernize a highly customized automation platform running primarily in EC2 environments. This role is contract-to-hire with strong intent to convert to full-time.
The #1 feature of this opportunity is ownership and impact. This is not a surface-level Dev Ops role — they need a true engineer who can read, understand, and enhance a complex Python-based templating engine that programmatically generates Terraform configurations. You’ll be working in a small, highly technical team where your contributions directly influence long-term modernization efforts. It’s a great fit for someone who enjoys solving hard infrastructure problems, improving partially manual environments, and wants meaningful engineering work rather than ticket-based operations.
RequiredSkills & Experience
- 4+ years of AWS infrastructure experience
- Strong production-level Python programming experience
- Hands-on experience with Terraform and Infrastructure as Code
- Experience working within EC2-based environments
- Solid understanding of networking fundamentals (VPC, load balancers, IP addressing)
- Experience maintaining and enhancing complex codebases
- Ability to debug and refactor code written by others
- Experience supporting enterprise-scale infrastructure
- Experience in hybrid legacy / modernization environments
- Background in automation-heavy Dev Ops environments
- Experience contributing to long-term platform migrations
- Strong ownership mindset and ability to work with minimal oversight
- 35% Python
- 30% AWS (EC2, networking, load balancers)
- 20% Terraform / Infrastructure as Code
- 15% Automation platform enhancements
- 70% Hands On Engineering
- 10% Architecture & Design Input
- 20% Team Collaboration
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