As an Engineering Leader at Crop.photo, you will play a crucial role in shaping the future of brand consistency through AI technology. With a focus on building a high-performing engineering team, you will not only lead by example through hands-on coding but also provide guidance to ensure the success of our projects. Your responsibilities will encompass a wide range of tasks, from architecting and developing our AWS-based microservices infrastructure to collaborating with product management on technical decision-making. You will be at the forefront of backend development using Java, Node.js, and Python within the AWS ecosystem, while also contributing to frontend development using React and TypeScript when necessary. Your expertise will be essential in designing and implementing scalable AI/ML pipeline architectures, establishing engineering best practices, and mentoring junior engineers to foster a culture of engineering excellence. Additionally, you will be responsible for system reliability, performance optimization, and cost management, ensuring that our platform delivers high-quality solutions for our marketing professionals. To excel in this role, you must have a minimum of 8+ years of software engineering experience, including at least 3 years of experience leading engineering teams. Your technical skills should cover a wide range of AWS services, backend development, frontend development, system design & architecture, as well as leadership & communication. Your ability to drive architectural decisions, identify technical debt, and lead initiatives to address it will be key to the success of our projects. Working at Crop.photo will provide you with the opportunity to take true technical ownership of a rapidly growing AI platform, shape architecture from an early stage, work with cutting-edge AI/ML technologies, and have a direct impact on product direction and engineering culture. Your success in this role will be measured by the implementation of scalable, maintainable architecture, reduction in system latency and processing costs, successful delivery of key technical initiatives, team growth, and engineering velocity improvements, as well as system reliability and uptime metrics. If you are passionate about building scalable systems, have a proven track record of technical leadership, and thrive in an early-stage environment where you can make a significant impact on both technology and team culture, we encourage you to apply for this exciting opportunity at Crop.photo.,
You will lead the architectural transformation of Evolphin's established Media Asset Management (MAM) platform from a hybrid, single-tenant system into a modern, multi-tenant Software as a Service (SaaS) solution. This role requires a combination of deep technical leadership and strategic planning as you will be responsible for modernizing the existing platform and architecting the foundation for integrating advanced AI-powered brand consistency features. - Design and implement the modernization strategy for the existing Java-based MAM platform. - Architect scalable cloud infrastructure on AWS to support current and future capabilities. - Lead the architectural transformation from a hybrid single-tenant system to a cloud-native multi-tenant SaaS solution. - Create migration paths and tools to assist current enterprise customers in transitioning from single-tenant to multi-tenant deployment in the cloud. - Integrate AI-powered brand consistency features from the Crop.photo brand. - Establish architectural patterns for the decomposition of existing monolithic components into microservices. - Lead the development of cloud-native services using a modern tech stack including Java, Node.js, and React. - Guide the team in implementing industry best practices for cloud-native development. - Collaborate with product management to balance technical debt reduction with feature delivery. - 10+ years of software engineering experience with at least 5 years leading complex platform transformations. - Proven track record of modernizing enterprise applications to cloud-native architectures. - Deep expertise in both traditional enterprise and modern cloud development, including Java enterprise application development, modern backend technologies (Node.js, Python, Go), cloud-native development patterns and practices, RESTful API design and implementation, and strong AWS platform expertise. - Strong experience with media processing pipelines, infrastructure as code, system design & architecture, leadership, and communication skills.,