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Jobs(30,434)/Full Stack Engineer Role(430)/Aura (5) - Senior Full Stack Engineer
Aura

Aura - Senior Full Stack Engineer

Remote - USA1w ago
RemoteSeniorNAArtificial IntelligenceArchitectureFull Stack EngineerSenior Full Stack DeveloperSCSSFull StackReact NativeReactReduxTypeScriptGraphQLClaudeCursorDocumentationTalent Acquisition

Requirements

• 5+ years of software engineering experience. • 1+ year of React Native experience. • Production experience with React, Redux, and TypeScript. • Strong knowledge of HTML, CSS, and SCSS. • Experience working with GraphQL APIs and typed frontend/backend contracts. • Good understanding of backend development concepts; NodeJS and NPM experience is a plus. • Strong debugging skills across frontend, API, backend, logs, and data/event flows. • Product mindset with the ability to reason through customer impact, edge cases, rollout risk, and operational behavior. • Security-minded engineering judgment, especially around identity, device state, access control, permissions, and auditability. • Strong knowledge of data structures, algorithms, architectural design, design patterns, and design anti-patterns. • Solid Computer Science background. • Ability to work with ambiguous requirements and turn them into clear technical plans. • Strong ownership: able to drive work from discovery through implementation, QA, release, and production follow-up. • Clear, direct communication and strong collaboration with QA, Product, and cross-functional engineering teams. • Active experience using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or similar tools in daily development. • Understanding of prompt engineering and ability to communicate tasks effectively to AI agents. • Experience with LLM-powered tools for code generation, code review, debugging, documentation, and test creation. • Willingness to work in an AI-first development paradigm where AI agents are a primary development tool. • Experience with Native iOS or Android development is a plus. • Experience with MCP and configuring AI agent environments is a plus. • Upper-Intermediate English level or higher. • AI IDEs and agentic tools: proprietary AI tools, Cursor, Claude Code, GitHub Copilot • Aura is proud to be an equal employment workplace. All qualified applicants will be considered for employment without regard to, and will not be discriminated against based on race, color, ancestry, national origin, religion, age, sex, gender, marital status, sexual orientation, gender identity, disability status, veteran status, or any protected category. Beyond equal employment opportunity, Aura is committed to being an inclusive community where all feel welcome. • Aura is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please let your Talent Acquisition Partner know. • Important privacy information for United States based job applicants can be found here.

Responsibilities

• Improve the product experience by delivering high-quality features. • Develop secure, well-tested, performant product features across React Native, React, GraphQL, and backend/service integrations. • Work in a cross-functional team that collaborates closely with Product, QA, backend, mobile/desktop, cloud, and release/UAT partners. • Own features end-to-end: clarify requirements, design the technical approach, implement, test, support release, and verify production behavior. • Debug issues across the full stack, including frontend state, API contracts, backend services, event flows, logs, and third-party integrations. • Bring a security and product mindset to device-related experiences, including enrollment, device posture, access control, policy behavior, and edge cases. • Be proactive in suggesting pragmatic engineering improvements, architecture refinements, and best practices without overengineering. • Maintain AI-native working surfaces: tests, documentation, prompts, scripts, and configuration that allow AI agents to work effectively with the codebase. • Contribute to the team’s AI workflow improvements by creating and sharing skills, automation templates, prompts, and development best practices.

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