We are looking for an experienced ServiceNow Platform Engineer to support and strengthen enterprise platform operations in Texas. This role focuses on improving stability, scalability, and overall system performance while partnering with architecture, cybersecurity, infrastructure, and support teams. The ideal candidate brings strong engineering judgment, hands-on platform expertise, and a continuous improvement mindset to deliver reliable, high-performing ServiceNow solutions.<br><br>Responsibilities:<br>• Monitor platform behavior, investigate recurring issues, and implement corrective actions that improve availability, efficiency, and long-term reliability.<br>• Define operational standards, establish service health metrics, and use capacity insights to guide performance planning and infrastructure optimization.<br>• Work closely with architecture, cybersecurity, infrastructure, and other technical teams to ensure the ServiceNow environment aligns with enterprise expectations and technical standards.<br>• Lead complex incident investigation and advanced troubleshooting efforts, including escalated platform issues, while coordinating with vendor support when deeper technical resolution is required.<br>• Improve support procedures, technical documentation, and recovery practices to reduce downtime and strengthen operational readiness.<br>• Direct platform upgrades, release coordination, backup planning, and recovery testing to maintain service continuity and support new feature adoption.<br>• Review utilization and performance trends, prepare actionable findings, and drive enhancements that improve system health over time.<br>• Assess emerging ServiceNow capabilities and oversee the design and configuration of scalable, resilient solutions that follow established engineering best practices.<br>• Build and maintain knowledge resources such as troubleshooting materials, configuration guidance, and technical standards while mentoring entry-level engineers and encouraging cross-team learning.
<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>