We are looking for a skilled Software Engineer to contribute to the development, enhancement, and maintenance of software applications that drive our business operations. This role requires a motivated individual with a strong technical background and a passion for delivering high-quality solutions.<br><br>Responsibilities:<br>• Design and implement software applications tailored to business needs, ensuring optimal performance and reliability.<br>• Write clean, efficient, and well-documented code while adhering to best practices.<br>• Conduct thorough testing and debugging to identify and resolve software issues.<br>• Collaborate with cross-functional teams to understand requirements and deliver effective technical solutions.<br>• Stay informed about emerging technologies and tools to continuously improve development processes.<br>• Utilize version control systems, such as Git, to manage code effectively.<br>• Work with databases to design, query, and maintain data structures.<br>• Ensure software solutions are scalable and maintainable.<br>• Provide technical support and troubleshooting for deployed applications.
<p><strong>Position: DevOps Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>Robert Half is recruiting for an experienced DevOps Engineer for our client in the Madison, WI area. This position supports the organization’s DevOps environment by maintaining automation, deployment, and cloud infrastructure processes. The DevOps Engineer works on both client-related and internal initiatives, contributing technical expertise to ensure reliable and efficient delivery pipelines. </p><p><br></p><p><strong>This is a Direct Hire position that will require a hybrid in-office schedule in Madison, WI.</strong></p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with development and project teams to implement and manage CI/CD pipelines.</li><li>Design and maintain automation frameworks for build, testing, and deployment workflows.</li><li>Manage and support infrastructure for development, staging, and production systems.</li><li>Troubleshoot and resolve complex issues across applications and environments.</li><li>Provide tier-two support for DevOps and CI/CD related incidents through ticketing systems.</li><li>Identify opportunities to standardize and improve DevOps practices.</li><li>Participate in an on-call rotation to ensure production system uptime.</li><li>Monitor and optimize system and network performance, ensuring secure data operations.</li><li>Manage cloud-based infrastructure using AWS and Azure.</li><li>Utilize containerization tools to support scalable and efficient application deployments.</li><li>Maintain current knowledge of emerging DevOps technologies and methodologies.</li><li>Communicate effectively with technical and non-technical stakeholders to support smooth delivery of projects.</li><li>Perform other related duties as required.</li></ul>
We are looking for an experienced Data Engineer to join our team in Brookfield, Wisconsin. This role offers the opportunity to work in a dynamic environment, tackling diverse data engineering challenges while contributing to impactful projects. As a valued team member, you will leverage advanced tools and technologies to design, optimize, and implement data solutions that support organizational goals.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to ensure efficient data flow and integration.<br>• Design and implement data models and relational database systems to support analytics and reporting.<br>• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business needs.<br>• Utilize tools such as Apache Spark, Hadoop, and Kafka to process and manage large-scale data.<br>• Perform Extract, Transform, Load (ETL) operations to prepare data for analysis and decision-making.<br>• Create and maintain documentation for data architecture, processes, and workflows.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Integrate cloud-based data storage solutions like Snowflake or Azure into existing infrastructure.<br>• Work with data visualization tools, such as Power BI and Tableau, to provide actionable insights.<br>• Stay updated on emerging technologies and trends in data engineering to enhance system capabilities.
