Technology Development Program TECDP - Software Engineering Track - The Cigna Group
Software Engineer
We're looking for a Software Engineer focused on designing and building scalable technical solutions. This mid level role requires 3+ years of relevant experience.
About the role
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.
Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.
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.
Clear Communication: Effectively share ideas with technical and non‑technical audiences.
Collaboration Inclusion: Build strong relationships and work well on diverse teams.
Critical Thinking: Analyze complex problems and create innovative solutions.
Curiosity: Understand how technology supports healthcare and connects to business goals.
Strength-Based Leadership: Leverage personal and team strengths to drive results.
Growth Mindset: Pursue continuous learning and career development.
Technology Fluency Ethics: Use foundational and emerging technologies responsibly to deliver value.
Skills
machine learningnatural language processingcomputer visiongenerative aipythonjavascriptsql