Our Technology Development Program (TECDP) empowers early‑career technologists to build meaningful skills while transforming how millions experience healthcare. 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.
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
- Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.
- 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.
Desired Skills & Competencies
- Clear Communication: Effectively share ideas with technical and non‑technical audiences.