We are looking for a highly skilled Senior Python Engineer to join our team in Morrisville, North Carolina. In this role, you will play a critical part in developing innovative software tools and solutions to enhance application security. This is a long-term contract opportunity designed for professionals who are passionate about delivering high-quality results and contributing to a dynamic and collaborative environment.<br><br>Responsibilities:<br>• Develop robust, object-oriented Python applications that address new security requirements and align with client needs.<br>• Implement and maintain automated testing frameworks using Pytest to ensure software reliability and functionality.<br>• Build, deploy, and manage containerized applications using Docker and other containerization tools.<br>• Collaborate with cross-functional teams to design, develop, and deploy serverless solutions in cloud environments.<br>• Optimize application performance and scalability on AWS platforms, including EC2.<br>• Integrate microservices and REST APIs to support seamless communication between components.<br>• Contribute to the design and implementation of modern UI/UX solutions using React and relevant technologies.<br>• Apply DevOps best practices, including version control with Git and CI/CD pipelines with Jenkins.<br>• Participate in Agile/Scrum development processes, ensuring timely delivery and adaptability to evolving requirements.<br>• Stay updated on security and compliance frameworks to enhance the security of developed applications.
<p>We are looking for a skilled Cloud Engineer to join our team in Raleigh, North Carolina. This role requires an individual with a strong background in cloud technologies, particularly in Azure environments. You will play a key part in supporting developers within the cloud infrastructure and collaborating with other specialized teams as needed.</p><p><br></p><p>Responsibilities:</p><p>• Provide robust support for the cloud environment utilized by the development team.</p><p>• Collaborate with security and M365 teams to ensure seamless integration and operations.</p><p>• Implement and manage automation tools such as Ansible to optimize workflows.</p><p>• Oversee scaling processes, including auto-scaling mechanisms, to maintain system efficiency.</p><p>• Manage and maintain Azure DevOps services and pipelines to streamline development processes.</p><p>• Utilize expertise in Azure Admin Center to optimize cloud operations.</p><p>• Monitor cloud environments to ensure high availability and performance.</p><p>• Troubleshoot and resolve issues within cloud systems in a timely manner.</p><p>• Recommend and implement improvements to cloud infrastructure based on industry best practices.</p><p>• Stay updated on emerging cloud technologies and certifications to enhance operational capabilities.</p>
We are looking for an experienced Data Engineer to join our team in Raleigh, North Carolina. In this position, you will play a pivotal role in designing, developing, and managing data solutions that support organizational decision-making. The ideal candidate will have a strong background in data engineering and a desire to grow into Data Architecture responsibilities.<br><br>Responsibilities:<br>• Design and implement data pipelines to extract sales data and integrate it into Snowflake using Snowpipe.<br>• Collaborate with executive leadership and vendors to ensure data solutions align with business objectives.<br>• Develop and maintain APIs to connect various systems and streamline data flow.<br>• Optimize data security and access controls within Snowflake, ensuring compliance with organizational standards.<br>• Participate in data modeling updates, focusing on improving principles, solutions, and methodologies.<br>• Work closely with a small team of data analysts, engineers, and managers to address diverse engineering challenges.<br>• Monitor and enhance data pipeline performance through testing, governance, and continuous delivery.<br>• Provide input on enterprise data architecture strategies, including logical, conceptual, and physical data models.
