Principal Software Engineer

About the job Principal Software Engineer Principal Software Engineer Location: Annapolis, MD We're in search of a highly adept Principal Software Engineer to lead and guide our team of software engineers in crafting intricate software systems. This role involves spearheading the design, development, and implementation phases of these systems. Our client specializes in Software & System Engineering, focusing on Enterprise and Cyber Security solutions. Utilizing Agile Software Development principles, we excel in delivering stable and dependable software solutions with quick turn‑around times. We pride ourselves on integrating industry-standard software stacks into our interactive applications. Desired Skills Lead and oversee the design, development, and implementation of complex software systems. Offer technical mentorship to ensure adherence to software development best practices. Collaborate with stakeholders to analyze requirements and enhance existing systems. Create scalable and maintainable software solutions of the highest quality. Ensure timely project completion within allocated budgets. Foster integration with other systems and platforms through team collaboration. Explore and assess new software technologies to enhance development processes. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Over 10 years of hands‑on experience in software engineering, emphasizing design, development, and implementation. Proven leadership and team management abilities, including experience leading software engineering teams. Proficiency in various programming languages such as Java, Python, or C++. Expertise in software architecture and design, including complex system implementation. Familiarity with Agile methodologies. Strong problem‑solving skills and analytical capabilities. Excellent communication and interpersonal skills. Active TS/SCI-FSP clearance. Preferred Qualifications Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud. Experience with containerization technologies such as Docker and Kubernetes. Knowledge of big data technologies such as Hadoop and Spark. Exposure to machine learning and artificial intelligence technologies. #J-18808-Ljbffr