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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps / Platform Engineer - **Company:** Scion Staffing, Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $166,400 - **Contract:** Contract - **Skills:** PHP (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, Botnet, Cloud Computing, Cloud Engineering, System Configuration, Continuous Integration, DevOps, Domain Name System (DNS), Github, Identity and Access Management, Automation of Marketing, Reliability Engineering, Software Tools, Akamai, Software Deployment, Web Platforms, Web Services, Datadog, Software Security, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), AWS ECS, Rate Limiting, Amazon Relational Database Service, Containerization, Git Flow, Infrastructure Automation Frameworks, Deployment Automation, Cloudflare, Terraform, Docker, Jenkins - **Published:** November 7, 2026 - **Apply:** https://scionstaffing.com/apply-with-scion-staffing/ ## About the Role * Collaborative & Flexible Environment: Enjoy a hybrid schedule in Austin, TX, while collaborating with experienced engineers and external development partners on meaningful technical initiatives., * Minimum 6 years of professional experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Engineering. * Strong hands-on AWS expertise, including provisioning, configuring, maintaining, securing, and troubleshooting production cloud infrastructure, with experience across services such as ECS, EC2, Lambda, RDS, IAM, VPC networking, and related AWS technologies. * Advanced hands-on Terraform experience, including developing and maintaining Infrastructure as Code, provisioning new infrastructure, managing multiple environments (development, testing, and production), implementing Git-based workflows, and automating infrastructure deployments. * Experience with containerization and cloud infrastructure modernization, including Docker, AWS ECS, or comparable container technologies; experience migrating EC2 workloads to ECS is highly valued. * Strong experience building, maintaining, and improving CI/CD pipelines, preferably using GitHub Actions or Buddy.Works; experience with comparable automation platforms, including Jenkins, will also be considered. * Experience with cloud networking, application security, and production operations, including DNS, CDN, WAF, rate limiting, security hardening, bot mitigation, and incident response. Experience with Cloudflare, Akamai, Fastly, AWS CloudFront/WAF, or comparable technologies is acceptable. * Experience with observability, monitoring, and production troubleshooting using Honeycomb, Datadog, or comparable tools, along with supporting application deployments, API services, and production change management. * Demonstrated experience incorporating AI-assisted development and engineering tools into daily workflows to improve infrastructure automation, Terraform development, CI/CD processes, troubleshooting, documentation, and overall engineering productivity. Must be comfortable using AI responsibly, independently validating AI-generated solutions, exercising sound technical judgment, and collaborating effectively with engineering teams and external partners. AWS certifications are a plus. ## Description Scion Staffing has been engaged to conduct a search for a DevOps / Platform Engineer for an established, technology-driven company in the entertainment and hospitality industry that is investing in modernizing its digital platforms, customer-facing applications, and cloud infrastructure to enhance the overall guest experience. This is a 6+ month, hybrid opportunity based in Austin, TX (2 days / week onsite)., The DevOps / Platform Engineer will play a key role in building and modernizing AWS cloud infrastructure, improving deployment automation, and supporting the development of a new customer-facing application. This hands-on position will focus on Terraform infrastructure management, container migrations, CI/CD optimization, cloud networking, security, and observability while collaborating with internal engineering teams and external development partners. The ideal candidate brings strong AWS and Terraform expertise, demonstrated experience leveraging AI-assisted engineering tools, and the ability to independently own infrastructure initiatives while delivering secure, scalable, and reliable production environments., * Modern Technology & AI Innovation: Work extensively with AWS, Terraform, containerized environments, CI/CD automation, and AI-assisted engineering tools to improve infrastructure efficiency and reliability., * Design, build, maintain, and optimize AWS cloud infrastructure, including ECS, EC2, Lambda, RDS, ECR, S3, CloudFront, IAM, VPC networking, and AWS WAF, supporting secure and reliable production applications. * Develop, manage, and enhance Terraform Infrastructure as Code (IaC), including separating development, testing, and production environments, creating new service stacks, managing GitHub pull request workflows, executing Terraform plan/apply processes, and resolving infrastructure drift. * Lead infrastructure modernization efforts, including migrating EC2 workloads to ECS/containerized environments, improving scalability, deployment consistency, and operational efficiency. * Build, maintain, and streamline CI/CD pipelines using GitHub Actions, Buddy.Works, or comparable technologies, including automating Terraform deployments, improving release processes, and reducing manual infrastructure tasks. * Support cloud networking, security, and production reliability, including DNS, CDN/WAF configurations, custom security rules, rate limiting, Cloudflare Tunnels (cloudflared), Workers, security rules as code, bot and credential-stuffing mitigation, security hardening, and incident response using Cloudflare or comparable technologies. * Implement and improve observability, monitoring, and troubleshooting using Honeycomb, Datadog, or comparable tools, while supporting production deployments, API services, PHP/Craft CMS application environments, and established production change-management processes. * Independently drive infrastructure improvements, collaborate with internal engineering teams and external development partners, and maintain technical documentation while actively leveraging AI-assisted engineering tools to accelerate infrastructure development, Terraform automation, CI/CD improvements, troubleshooting, and problem-solving, ensuring AI-generated solutions are validated, secure, and aligned with engineering best practices.