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Principal Software Engineer

Job in Hopkinsville, Christian County, Kentucky, 42241, USA
Listing for: Cengage
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Responsibilities

Lead all aspects of critical systems for delivering innovative education technology platforms. Specifically, you will lead technology teams in our Internal Operations business unit which includes our Content Systems, content workflows and content AI platforms.

As a successful technology leader, you will build and lead remote software engineering organizations using agile principles to architect and deliver high-availability enterprise software. You will partner closely with product and design teams and lead through data-driven insights.

Obsess over customer outcomes in every decision and drive measurable improvements in user engagement. Balance your time between technical composition and product building for software development teams that work on content workflow automation, application development, and platform support.

Work jointly with other technology and product leads to provide direction and leadership to the agile teams. Design, architect, and implement new features and functionality with the expectation to own and drive development using an iterative methodology and deliver products that scale to support millions of customers.

Collaborate with product partners, customers and other technologists to understand customers’ content, learning and technological needs; provide guidance on technology solution options. Communicate sophisticated technical information clearly across product and technology teams, learning designers, interface designers and domain authorities.

Supervise product performance, analyze performance data, and gather user feedback to continuously iterate and improve the product to provide a consistently reliable and high-performing experience with our platforms, available 24/7. Conduct post-release evaluations, retrospectives, and A/B testing to advise future product enhancements and strategic decision-making.

Adopt agile methodologies and the principles of a customer-centric product model to drive iterative development, continuous improvement, and rapid time-to-market. Work closely with multi-functional teams to define user stories, prioritize backlog items, and ensure timely and high-quality product releases.

Stay up to date with emerging technologies and industry trends and integrate relevant advancements into our product roadmaps. Cultivate a high-performance, transparent culture of continuous improvement focused on accountability and results.

Qualifications
  • Education & Experience
    • Bachelor’s degree in computer science or related field, or an equivalent combination of education and recent, relevant work experience.
    • 5 years of technology leadership experience, including developing technology strategies, fostering innovation, and influencing distributed teams across multiple time zones.
  • Generative AI & Emerging Technologies
    • Solid understanding of generative AI concepts and frameworks, such as LLMs, multimodal models, prompt engineering, AI agent orchestration, retrieval augmented generation, and vector databases.
    • Hands‑on experience integrating or experimenting with commercial and open-source GenAI technologies and toolkits (e.g., OpenAI, Hugging Face, Lang Chain).
    • Familiarity with agentic workflows and AI‑enabled automation for applications such as content management, search, personalization, or workflow optimization.
    • Knowledge of AI safety, responsible AI practices, and content moderation systems.
    • Motivation to stay up-to-date with advancements in GenAI, MLOps, and digital transformation.
  • Enterprise Architecture, Software Engineering & Product Delivery
    • Experience modernizing legacy or monolithic architectures, migrating systems to modular, cloud-native platforms, and implementing hybrid cloud strategies.
    • Track record of architecting and deploying solutions on public cloud platforms (AWS, GCP, or Azure), including storage (S3), compute (EC2, Lambda), containerization (Kubernetes, Docker), and serverless computing and event-driven systems.
    • Understanding of Infrastructure as Code tools (e.g., Terraform, AWS CDK) for automated, scalable deployments and Git Ops / AIOps practices.
    • Experience implementing the AWS Well-Architected Framework across all six pillars.
    • Skilled in…
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