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3 results for Infrastructure Architect in Georgetown, TX
- Austin, TX
- onsite
- Temporary to Hire
- 39.5865 - 45.837 USD / Hourly
- <p>We are looking for a <strong>Network Architect</strong> to support our client's team here in Austin, Texas. This will be a contract opportunity with potential to become permanent. This position focuses on designing and maintaining reliable network environments while providing hands-on engineering support for controller troubleshooting and repair. The role is well suited for someone who can balance architecture planning with field-level problem solving and is comfortable with travel as part of project and support needs.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Design and improve network architecture that supports renewable energy systems and related operational infrastructure.</p><p>• Provide engineering support for controller diagnostics, troubleshooting, and break-fix activities in live environments.</p><p>• Evaluate network performance and implement changes that strengthen stability, connectivity, and overall system reliability.</p><p>• Partner with technical teams to align infrastructure decisions with application, security, and operational requirements.</p><p>• Support integration efforts involving cloud platforms, APIs, and connected systems where network architecture plays a critical role.</p><p>• Travel to project or operating sites as needed to investigate issues, support deployments, and assist with technical resolution.</p><p>• Document architecture decisions, support procedures, and remediation steps to promote consistency across environments.</p>
- 2026-11-03T00:00:00Z
- Austin, TX
- onsite
- Temporary / Contract
- 68 - 72 USD / Hourly
- <p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>DevOps Engineer</strong> <strong>(contract).</strong> In this role, you will focus on building scalable Kubernetes environments, improving CI/CD processes, strengthening cloud security, and enabling production-ready machine learning operations (MLOps). <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, deploy, and maintain cloud infrastructure using Infrastructure-as-Code (IaC) frameworks and automation best practices.</li><li>Build, manage, and optimize Kubernetes environments, ensuring reliability, scalability, security, and operational efficiency.</li><li>Develop and maintain deployment pipelines supporting both application and machine learning workloads.</li><li>Collaborate with engineering and data teams to operationalize ML models and AI-driven services in production environments.</li><li>Implement and enhance CI/CD pipelines, release automation, and deployment standards across multiple environments.</li><li>Establish platform standards, reusable tooling, and engineering best practices to improve consistency and operational maturity.</li><li>Integrate security controls, automated testing, dependency validation, and policy enforcement into delivery pipelines.</li><li>Improve observability through centralized logging, monitoring, tracing, alerting, dashboards, and operational runbooks.</li><li>Partner with cross-functional teams to increase application reliability, performance, resiliency, and recovery capabilities.</li><li>Support modern software delivery practices, including automated quality controls, secure release management, and developer enablement initiatives.</li><li>Create self-service tooling, templates, automation frameworks, and documentation that improve the overall developer experience.</li><li>Participate in incident response, root cause analysis, and continuous improvement efforts.</li><li>Drive automation initiatives that reduce manual effort and increase operational reliability.</li><li>Work closely with infrastructure, security, engineering, and data teams to support enterprise-scale cloud platforms and services.</li></ul>
- 2026-11-11T00:00:00Z
- Austin, TX
- onsite
- Temporary / Contract
- 65 - 70 USD / Hourly
- <p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Site Reliability Engineer (contract).</strong> In this role, you are responsible for the reliability, scalability, and operational excellence of enterprise workflow orchestration and automation platforms. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>Operations & Reliability (Approximately 50%)</p><ul><li>Act as a primary escalation point for workflow orchestration and enterprise scheduling platforms, supporting incident response, root cause analysis, and long-term resolution efforts.</li><li>Establish, manage, and continuously improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.</li><li>Monitor platform performance, health, and capacity while proactively identifying potential issues before they impact business operations.</li><li>Partner with application, data, and engineering teams to troubleshoot workflow failures, dependency issues, and scheduling challenges.</li><li>Perform platform maintenance activities, including upgrades, patching, and configuration management.</li><li>Collaborate with security teams to strengthen platform security, address vulnerabilities, and maintain compliance standards.</li><li>Participate in on-call rotations and maintain operational documentation, runbooks, and escalation procedures.</li></ul><p>Platform Engineering (Approximately 50%)</p><ul><li>Design and implement tooling, automation, and self-service capabilities that improve platform usability and reduce operational effort.</li><li>Lead or contribute to modernization initiatives, including workload migrations, deployment automation, infrastructure optimization, and adoption of cloud-native services.</li><li>Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform, Helm, Ansible, or similar technologies.</li><li>Create and enhance observability capabilities through dashboards, alerting, logging, and monitoring solutions.</li><li>Establish platform standards, governance models, and best practices to support adoption across engineering teams.</li><li>Participate in architectural reviews and contribute to the long-term platform strategy and roadmap.</li><li>Promote automation-first practices that improve reliability, consistency, and operational efficiency.</li></ul><p><br></p>
- 2026-11-11T00:00:00Z