Sr. Software Engineer

Cengage Group•Virtual US NY, NY

2d•Remote

About The Position

We believe in the power and joy of learning. At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose – driving innovation that helps millions of learners improve their lives and achieve their dreams through education. Cengage's portfolio of businesses supports student choice by providing a range of pathways that help learners achieve their goals and lead a choice-filled life. Our culture values inclusion, engagement, and discovery. Our business is driven by our strong culture, and we know that creating an inclusive workplace is critical to the success of our company and our learners, as well as our individual well-being. We recognize the value of diverse perspectives in everything we do, and strive to ensure employees of all levels and backgrounds feel empowered to voice their ideas and bring their authentic selves to work. We achieve these priorities through programs, benefits, and initiatives that are integrated into the fabric of how we work every day. To learn more, please see https://www.cengagegroup.com/about/inclusion-and-belonging/.

Requirements

Bachelor’s degree in Computer Science or a related field, or an equivalent combination of education and recent, relevant work experience.
Minimum 5 years software development experience using Java/Spring/Maven and related technologies.
Strong analytical and problem-solving ability.
Ability to perform root cause analysis, technology evaluation, and design spikes.
Strong testing skills and a focus on identifying edge cases.
Solid understanding of AI concepts, technologies and methods, including machine learning, Language, Reasoning & multimodal models, prompt & context engineering, developing and using skills & agent frameworks, RAG, and vector databases.
Hands-on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., coding assistants, OpenAI, Hugging Face, LangChain).
Experience in maintaining and/or modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies.
Ability to design and develop APIs that integrate legacy systems with modern solutions.
Comfortable designing and deploying cloud native solutions on AWS, GCP, or Azure, using containers, serverless, and cloud storage/compute services.
Proven ability to build secure, resilient, scalable, high-availability enterprise systems for global user bases.
Strong experience with agile delivery (Scrum, Kanban, SAFe) and tooling such as Jira or Azure DevOps
Demonstrated skills in working with cross-functional teams in distributed, remote-first environments.
Ability to clearly communicate complex technical concepts to both technical and non-technical audiences, including executives.

Responsibilities

Develop, update and optimize data transformation and delivery scripts, using Python and AI tools (such as Codex)
Partner with colleagues in Portfolio to modernize key editorial support systems
Manage a customer-facing, cloud-based application
Collaborate with product and design teams in your role as senior software engineer, focusing on improving customer outcomes through frequent stakeholder engagements and data-driven insights.
Reimagine and optimize content creation workflows using modern platforms, automation, and generative AI.
Engage in driving POM Discovery activities including continuous customer engagement, both internal and external, to derive solutions that meet end user, company, and technology goals.
Balance technical debt and other maintenance activities alongside new feature development within each sprint.
Work with partners and customers to establish and handle product backlogs, product estimates and budgets.
Know the latest on emerging technologies and industry trends to inject continuous innovation into our product roadmaps.