A growing technology solutions firm is seeking a Software Engineer to design, develop, and maintain modern software applications and services. This role supports the development of scalable, cloud-native applications, microservices, and AI-enabled systems across both internal and customer-facing platforms. You will work in a cross-functional environment alongside engineering, cybersecurity, and DevOps teams to build and deploy high-quality software solutions. This is a hands-on role suited for an engineer who is comfortable working across the full development lifecycle and interested in integrating AI-driven capabilities into modern applications. Candidates may only reside in the following states: CA, CO, GA, IL, KY, MD, NC, NJ, NM, NY, OH, PA, SC, TX, VA & DC. *MUST be US Citizen Position Responsibilities: • Design, develop, test, and deploy scalable backend applications, APIs, and microservices • Build and integrate AI-enabled capabilities, including machine learning models, LLM integrations, and data-driven services • Participate in architecture and design discussions to ensure scalability, security, and performance • Develop cloud-native and containerized applications using Docker and Kubernetes • Integrate data pipelines, AI services, and backend systems into production environments • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders • Develop and maintain technical documentation including system architecture and API specifications • Maintain code repositories using modern version control and CI/CD pipelines • Apply secure coding practices and support DevSecOps workflows • Monitor and troubleshoot applications using logging and observability tools Minimum Security Clearance: • Must be eligible to obtain a DoD Top Secret clearance Required Qualifications and Skills: • Bachelor's degree in Computer Science, Software Engineering, Mathematics, or a related field from an accredited U.S. institution • Experience with Java (Spring Boot), Python, and modern backend development • Experience designing and developing microservices and RESTful APIs • Experience working in containerized environments using Docker and Kubernetes • Experience with cloud platforms such as AWS, Azure, or Google Cloud • Experience with AI or machine learning technologies and integrating AI capabilities into applications • Experience with relational databases such as MySQL or MariaDB • Understanding of distributed systems concepts and modern software architecture • Strong problem-solving skills and ability to work collaboratively in a team environment Additional Desired Qualifications: • Experience working with LLM frameworks or AI SDKs • Experience with CI/CD pipelines and DevSecOps practices • Familiarity with observability and monitoring tools • Experience with event-driven architectures or message queues Minimum Years of Experience: • 2 or more years of relevant experience