Solutions for Information Design, Inc.

QA Automation Engineer

• Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar platforms.
• Automate application and data deployments, testing, and operational processes.
• Develop backend applications and APIs using C#, .NET, and Azure services.
• Build and optimize data pipelines, integrations, and database solutions.
• Implement automated testing and quality practices across applications and services.
• Monitor system performance, reliability, and security through modern DevOps practices.
• Collaborate with cross-functional teams in an Agile environment.
• Mentor team members and promote best practices in software engineering, DevOps, and automation.
• Perform other related duties as assigned.

Senior Azure Data – Automation Engineer

Full-stack Engineer

• Candidate is expected to have a complete understanding of software engineering principles, theories, and concepts
• Candidate is required to understand standard .Net web application and service architecture
• Candidate must be able to provide technical solutions to a wide range of complex problems in the application where analysis of data requires evaluation of identifiable factors
• Requires the ability to quickly understand legacy code, tools and technologies
• Candidate should have experience in the application release lifecycle (building, deploying, testing)
• Collaborate with cross-functional teams (Development, Requirements, QA, Operations) to ensure seamless integration and delivery of software
• Anticipate challenges and mitigate risks related to deployment and operational issues
• Provide hands-on technical leadership to Junior Development team members, including guidance in system troubleshooting and support
• Foster a culture of innovation, collaboration, and customer-centricity within the Development team.

Software Engineer – Active Secret Clearance Required

Machine Learning Engineer

• Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
• Refine data collection processes and improve data quality.
• Design and develop scalable machine learning solutions for various applications.
• Work with software developers to integrate machine learning models into production systems.
• Conduct research to identify new approaches and methods for machine learning and AI.
• Stay updated with the latest trends and advancements in machine learning and AI.
• Document processes, codes, and workflows for future reference and reproducibility.
• Provide support and maintenance for deployed machine learning systems.

Senior Azure Data – Automation Engineer

Software Engineer – Active Secret Clearance Required

Machine Learning Developer – Active Secret Clearance Required