Science gateways provide an easy-to-use computational platform for research and educational purposes, abstracting underlying infrastructure complexities while promoting an intuitive interface. In the last 15 years, quite a few mature science gateway frameworks and Application Programming Interfaces (APIs) have been developed fostering distinct communities and strengths that meet a diverse set of needs. Examples such as HUBzero, Tapis, Galaxy, and OneSciencePlace are well-sustained science gateway frameworks that create production quality gateways that facilitate collaborative workspaces. These gateways enhance the research process by democratizing access to computational resources and supporting users in their exploration of research. Researchers benefit from streamlined access to various resources, such as high-performance computing (HPC) systems, data repositories, and specialized software tools. The shared workspaces enable collaborative projects, facilitating communication and cooperation across different disciplines. Interdisciplinary collaboration is crucial to addressing many grand scientific challenges such as climate modeling, genomics, or materials sciences. The standardized environments these gateways provide promote data sharing and set the stage for the reproducibility of computational experiments, a cornerstone in science.For research software engineers, engagement with science gateways offers numerous advantages. These frameworks provide standardized interfaces and mechanisms to interact with software libraries and tools, streamlining the development process and ensuring compatibility. This reduces development time and complexity, allowing engineers to focus on each community's unique requirements without dealing with low-level technical details. Automated deployment features supported by many gateways further ease the process.Beyond the technical benefits above, engaging within a science gateway framework also means engaging with a larger community of developers and users. This collaborative environment leads to shared knowledge, rapid issue resolution, and the opportunity to participate in joint development efforts. Continuous user feedback from researchers using the tools allows continuous improvement, ensuring the software evolves to meet evolving user needs.From a professional development perspective, active participation in science gateway frameworks exposes engineers to cutting-edge computational methodologies, cloud computing principles, and big data techniques. This both enhances their skills and keeps them up-to-date with the latest technological advancements. Furthermore, experience with science gateways and the relevant tech stacks being used, can open up career opportunities in academia and industry, given the growing demand for expertise in these areas.In summary, science gateway frameworks play a pivotal role in accelerating scientific research, providing enhanced accessibility and collaboration. For research software engineers, these frameworks offer a rich environment for skill development, collaboration, and career advancement. As scientific research increasingly relies on collaborative, data-intensive approaches, the role of science gateways will continue to expand in the research ecosystem.