Full-Stack Engineer

Full-Stack Software EngineerWe are seeking a Full-Stack Software Engineer to help develop and scale a creative platform for design-intensive workflows. This role sits at the intersection of rich, interactive frontend experiences and high-performance, resilient backend systems, spanning everything from pixel-perfect UI to production infrastructure.This role involves full ownership of complex features and systems. You will develop throughout the entire stack to provide fast, reliable, and scalable user experiences. You will contribute to growing platform capabilities by converting requirements into maintainable systems that uphold quality and reliability for a large, varied audience. The environment prioritizes a high-speed engineering culture emphasizing continuous integration and delivery, developer tooling, and AI-assisted development methods.ResponsibilitiesOwn full-stack implementation across the platform, from API surfaces and backend services to client runtimes and rich, design-heavy frontend experiences on web.Take end-to-end responsibility for features across the full lifecycle: from building and development through testing, documentation, deployment, and maintenance.Compose and develop fast, responsive, and visually rich frontend interfaces that meet high design fidelity standards, using modern web frameworks and component-based architecture.Architect and develop backend services capable of handling heavy traffic loads, with a focus on reliability, performance, and fault tolerance.Build, manage, and maintain sandbox-based environments for development, testing, and isolation of platform instances.Own deployment pipelines and infrastructure on Kubernetes-based clusters, ensuring smooth, repeatable, and observable rollouts.Apply AI-assisted engineering tools like Claude Code, Cursor, and Codex as a core part of your development workflow. You will also help guide the team's approach to these techniques.Collaborate with product, build, platform, and security teams to translate requirements into well-engineered, user-facing features. Surface constraints early and ensure scope is based on accurate technical understanding.Participate actively in code reviews, contribute to shared engineering standards, and help maintain a high bar for code quality across the team.RequirementsBachelor's degree or relevant experience, or a graduate degree or relevant experience in Computer Science, Software Engineering, or a closely related field.Proficiency in modern frontend development, including frameworks such as React, with experience building interactive, design-heavy, high-performance UIs.Backend engineering experience building and operating scalable, production-grade services (e.g., Node.js, Java, Python, Go, or similar).Experience deploying and operating services on Kubernetes-based infrastructure, including container orchestration, service configuration, and cluster management.Direct experience with AI-supported engineering tools (Claude Code, Codex, Cursor, or similar) and demonstrated success in embedding them into genuine development cycles. True excitement about the potential of AI-boosted engineering.Practical experience with CI/CD pipelines and ease operating in rapidly evolving engineering settings.Good engineering craft: readable, well-structured, production-quality code; opinionated views on testing, local dev ergonomics, and keeping a codebase maintainable as it grows.Familiarity with web performance, API development, and distributed systems fundamentals.Good written and verbal communication skills, with the ability to articulate technical decisions and collaborate effectively across various fields.Comfortable working in a fast paced setting where demands change frequently, with the capability to make practical choices and uphold code quality under stress.Nice to HaveExperience building or managing sandbox-based instance environments for multi-tenant or isolated workloads.Experience with build systems, component libraries, or close collaboration with teams that develop implementation quality.Experience with observability tooling (logging, tracing, alerting) in production environments.Contributions to developer tooling, internal platforms, or infrastructure that improved team-wide engineering velocity.