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Platform Automation Engineer Python, Kubernetes, AWS - Hybrid in Plano, TX - W2

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Optomi
Full Time, Contract position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Platform Automation Engineer - (Python, Kubernetes, AWS) - Hybrid in Plano, TX - W2 Contract-to-Hire

Platform Automation Engineer - (Python, Kubernetes, AWS) - Hybrid in Plano, TX - W2 Contract-to-Hire

Optomi, in partnership with a leading global provider of automotive financing, leasing, and insurance services, is seeking a Platform Automation Engineer to fulfill a contract-to-hire opportunity for a client based in Plano, TX.

This role will design and build Python-driven automation and lightweight internal tooling that abstracts Kubernetes complexity away from application teams. The goal is simple: developers should focus on their applications not on kubectl commands, jump boxes, or infrastructure tickets.

This position reports directly to the hiring manager and will be part of a foundational team responsible for defining how Kubernetes platforms are operated, secured, observed, and scaled.

What the Right Professional Will Enjoy!
  • Building a platform from the ground up, with real ownership and architectural influence
  • Removing manual, error‑prone Kubernetes processes through automation
  • Designing internal tooling and UI‑based workflows that developers actually want to use
  • Working on EKS Auto Mode and autoscaling strategies to simplify patching and cluster operations
  • Translating complex infrastructure workflows into clean, repeatable Python automation
  • Partnering closely with application teams, SREs, and platform engineers to improve developer experience
  • Seeing immediate impact as automation replaces hours of manual effort with minutes of execution
Apply Today If Your Background Includes:
  • Strong Python development experience, particularly for automation and platform tooling
  • Solid understanding of Kubernetes fundamentals, including name spaces, services, deployments, and cluster behavior
  • Hands‑on experience with Amazon EKS, including managed node groups and cluster operations
  • Experience interacting with infrastructure via APIs rather than manual CLI‑driven workflows
  • Familiarity with Terraform and Infrastructure as Code concepts (modules, state, environments)
  • Comfort working in AWS environments, including IAM, networking, and compute services
  • Experience integrating observability and alerting tools (e.g., Dynatrace, logging pipelines) into automated workflows
  • Ability to think like a platform owner—designing systems that are reliable, secure, and scalable
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