Technology Development Program - TECDP - Software Engineering Track - Start Date: July 12 - 2027

## Technology Development Program (TECDP) – Software Engineer Track – Full-Time Associate Our Technology Development Program (TECDP) is a two-year program designed to build technical expertise and a holistic understanding of how technology fuels transformation across the healthcare industry. Associates join a technical track aligned to their interests and career goals, gaining hands-on experience, expanding their technical acumen, and collaborating across disciplines to solve real-world challenges in healthcare. This role is designed to support your transition from academia to industry. The program is ideal for recent graduates and early‑career professionals who are curious, motivated, and eager to apply their academic knowledge in a real-world setting. The Software Engineer Track is designed for individuals passionate about building and maintaining applications that drive better healthcare outcomes. ## What you’ll do - Meaningful Work: Design and deliver scalable software solutions that drive innovation and improve healthcare outcomes as part of The Cigna Group’s Software Engineering track. - Learn by Collaborating: Learn by doing alongside peers, mentors, and cross‑functional partners through hands‑on projects, recruiting support, innovation efforts, community initiatives, and onboarding experiences. - Structured Learning: Grow through a blend of core and track‑specific curriculum, including technical training, leadership development, and business exposure to support your development as a well‑rounded technologist. - Community & Connection: Build strong relationships across the organization through networking, mentorship, cross‑functional collaboration, and informal peer engagement that support both personal and professional growth. ## Qualifications - Education: Full time candidates must have completed a bachelor’s or master’s degree in a technical program at the time of hire. Preferred degrees include Computer Science, Computer Engineering, and Software Engineering. - Additional degrees such as Data Science, Artificial Intelligence, Math, Bioinformatics, or Healthcare Analytics will be considered if paired with strong coding experience and exposure to software development principles. - Technical Skills: Familiarity with programming languages and tools such as Python or other coding languages, prompt engineering, JavaScript, SQL. - Courses & Experiences: Academic coursework, research, or internships focused on machine learning, natural language processing, computer vision, or generative AI. Exposure to real-world applications of AI in healthcare or other industries is a plus. - AI Forward Mindset: Demonstrated curiosity and enthusiasm for emerging AI technologies and their potential to reshape industries. Interest in ethical AI, responsible innovation, and the intersection of AI and human-centered design. - Well Rounded: Leadership or involvement in clubs, organizations, or technical competitions such as Hackathons, AI challenges, or research symposiums.