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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Scion Staffing, Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $190,000.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, Automation of Tests, Cloud Computing, Software Quality, Code Review, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Python (Programming Language), Reliability Engineering, Data Logging, GitHub Copilot, Delivery Pipeline, Terraform, Serverless Computing - **Published:** September 2, 2026 - **Apply:** https://scionstaffing.com/apply-with-scion-staffing/ ## About the Role * At least 5+ years of professional Platform Engineering, DevOps, SRE, or cloud infrastructure experience; * Hands-on experience operating production cloud infrastructure, preferably AWS, with exposure to GCP beneficial. * Strong Terraform expertise or comparable infrastructure-as-code experience, including reusable patterns, standards, state alignment, and deployment consistency. * Demonstrated experience designing, building, or significantly improving CI/CD systems and automated software delivery workflows. * Experience supporting containerized or serverless production workloads and implementing observability through metrics, tracing, logging, and alerting. * Daily, enthusiastic use of AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar tools to accelerate engineering, testing, learning, and code review. * Comfortable reading and debugging application code, with Python experience beneficial; strong ownership, technical communication, curiosity, and a collaborative approach are essential. ## Description The Senior Platform Engineer will serve as the dedicated platform and DevOps lead supporting a large-scale, cloud-based streaming environment. This hands-on position will strengthen infrastructure, delivery pipelines, observability, and AI-enabled engineering workflows while establishing consistent platform practices across multiple development teams. The ideal candidate is a curious and collaborative engineer who is excited about using AI coding tools and comfortable taking ownership across DevOps, cloud infrastructure, SRE, and developer enablement., * Own and improve cloud infrastructure across a primarily AWS environment with some GCP services, emphasizing scalability, reliability, and operational simplicity. * Lead the infrastructure-as-code practice by developing reusable Terraform patterns and ensuring declared configurations remain aligned with production environments. * Design, maintain, and optimize CI/CD pipelines, build infrastructure, deployment processes, and the overall path from code commit to production. * Create AI-enabled engineering workflows that strengthen automated testing, code review, development velocity, and software quality before production releases. * Establish shared platform and deployment standards across three engineering teams to improve consistency and reduce duplicated solutions. * Strengthen observability and resilience through effective metrics, tracing, logging, alerting, safe deployment practices, incident response, and root-cause remediation. * Participate in an on-call rotation of approximately one week per month, support escalated production issues, and troubleshoot application code when platform concerns extend into the application layer. ## Related Videos - [Platform Engineering vs. DevOps Why not both?](https://www.wearedevelopers.com/videos/885-platform-engineering-vs-devops-why-not-both) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)