<p><strong>Site Reliability Engineer</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p>Robert Half is partnering with an Austin-based client to hire a Site Reliability Engineer. This position offers an exciting opportunity to work with a rapidly growing team, ensuring the reliability, performance, and scalability of critical systems. The ideal candidate will bring technical expertise in Azure infrastructure and scripting languages, along with a proactive approach to automation and problem-solving.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Monitor, maintain, and optimize Azure infrastructure to ensure high performance, availability, and reliability across IaaS, PaaS, and SaaS environments.</li><li>Define, measure, and continuously improve Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using tools such as Azure Monitor, Application Insights, Log Analytics, and API Management.</li><li>Design and develop automation tools and scripts using PowerShell, Bash, Python, and C# to eliminate manual processes and improve operational efficiency.</li><li>Participate in a 24/7 on-call rotation, leading incident response efforts, performing root cause analysis, and implementing long-term preventive and reliability improvements.</li><li>Partner closely with software engineering, QA, and other technology teams to ensure systems meet reliability, scalability, and performance standards.</li><li>Support capacity planning, load testing, and performance tuning initiatives within a microservices architecture built on .NET and React.</li><li>Troubleshoot complex system issues, including integrations with third-party platforms and APIs.</li><li>Create, maintain, and enhance technical documentation, operational runbooks, and system diagrams to support knowledge sharing and operational excellence.</li></ul>
<p><strong>Data Engineer</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and optimize data architectures for data lakes, warehouses, and analytics platforms</li><li>Ingest, transform, and integrate data from multiple sources (databases, APIs, streaming systems)</li><li>Ensure data quality, reliability, and performance across data systems</li><li>Collaborate with data scientists, analysts, and business stakeholders to support reporting and analytics needs</li><li>Optimize database performance, queries, and data storage strategies</li><li>Implement data governance, security, and compliance best practices</li><li>Automate data workflows and monitoring processes</li><li>Troubleshoot and resolve data pipeline failures and performance issues</li><li>Document data models, workflows, and technical processes</li></ul>