Senior Full Stack Engineer

We are seeking an experienced Senior Fullstack Developer who excels in both hands-on engineering and leading projects. This role is ideal for someone who has led projects, mentored engineers, and made architecture-level decisions. You will play a key role in designing, building, and improving our software platform, driving technical excellence, and shaping engineering best practices across the team. Responsibilities: Design, develop, and maintain high-quality, scalable web applications and platform services. Build robust backend services and APIs using modern frameworks and cloud-native patterns. Develop user-friendly, performant frontend interfaces that deliver an exceptional user experience. Ensure code quality through best practices, automated testing, and continuous integration. Provide architectural direction, evaluate technical trade-offs, and guide long-term platform evolution. Establish engineering standards and promote best practices in software design, testing, and documentation. Collaborate with cross-functional teams—including product, QA, ML, and systems—to deliver high-impact features. Drive technical discussions, identify risks, and proactively remove blockers to ensure delivery timelines are met. Work closely with stakeholders to understand requirements and translate them into technical solutions. Participate in sprint planning, backlog refinement, and team-wide retrospectives to continuously improve workflow. Implement scalable, secure, and high-performance architectures across the stack. Monitor and optimize system performance, triage production issues, and drive root-cause analysis. Contribute to the evolution of deployment pipelines, observability tools, and platform operational excellence. Qualifications: 8-10+ years of fullstack engineering experience, with strong proficiency in modern backend (Node.js) and frontend (React, typescript) technologies. Demonstrated experience leading engineering projects or teams in a fast-paced, product-driven environment. Strong understanding of system design, API architecture, cloud environments (AWS/GCP/Azure), and CI/CD pipelines. Experience building scalable platforms handling large datasets or complex workflows (bonus for AI/ML systems). Excellent communication, collaboration, and problem-solving skills. Experience working with data-intensive applications, imagery/video pipelines, or AI-integrated systems. Familiarity with microservices architectures, containerization, and distributed systems. ** Keystone AI does not provide sponsorship for work authorizations in the United States at this time * Originally posted on Himalayas