> Markdown version of [/jobs/ext/4540009-staff-software-engineer-full-stack](https://www.wearedevelopers.com/jobs/ext/4540009-staff-software-engineer-full-stack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Full Stack - **Company:** Egnyte, Inc. - **Location:** Mountain View, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Multitier Architecture, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Software Quality, Code Review, Continuous Integration, Cursor, Linux, Programming Tools, Distributed Systems, Python (Programming Language), Enterprise Messaging Systems, NoSQL, Open Source Technology, Software Architecture, Software Tools, Software Engineering, TypeScript, Enterprise Software Applications, GitHub Copilot, ReactJS, Large Language Models, Software Security, Caching, Backend, Event Driven Architecture, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Graphql, Claude, Restful APIs, GPT, Docker, Microservices - **Published:** November 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pwo6xhtdwj ## About the Role * Bachelor's or master's degree in computer science or a related field with 8+ years of professional software engineering experience. * Strong expertise in Python backend development with good working knowledge of Java. * Deep understanding of distributed systems, microservices, event-driven architectures, REST APIs, and modern software architecture principles. * Hands-on experience with cloud platforms (AWS/Azure/GCP), Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, Linux, observability, production troubleshooting, and application security. * Experience with relational and NoSQL databases, messaging systems, caching technologies, and asynchronous processing. * Proven ability to design scalable, resilient, secure, and highly available enterprise systems. * Experience using modern AI development tools (such as GitHub Copilot, Claude, Cursor, ChatGPT, or similar) to improve engineering productivity while maintaining high standards for quality, reliability, and security. * Experience with React and TypeScript, GraphQL, or enterprise SaaS platforms is a plus. * Exposure to AI/LLM-powered applications, developer productivity platforms, or contributions to open-source projects is desirable. * Excellent communication, technical leadership, mentoring, and cross-functional collaboration skills. ## Description * Own the architecture and technical direction of large-scale, distributed enterprise applications. * Design and develop scalable, secure, and highly available backend services primarily using Python. * Contribute to Java-based services and help evolve the overall platform architecture. * Drive architectural decisions, technical strategy, and engineering standards across teams. * Mentor engineers through technical guidance, design reviews, and code reviews. * Champion software craftsmanship through clean architecture, automated testing, security, observability, and operational excellence. * Leverage modern AI-assisted engineering tools and workflows to accelerate development, improve software quality, automate repetitive tasks, and enhance engineering productivity while applying sound engineering judgment. * Drive continuous improvements in developer experience, platform capabilities, automation, reliability, and operational excellence.