Staff Full-Stack Engineer, Maze

• You'll have a proven track record of enabling teams to move faster and deliver higher quality through technical leadership, developer tooling, and infrastructure improvements
• 8+ years of software engineering experience with a track record of building scalable, production systems
• 3+ years of experience specifically in Developer Experience or Platform Engineering
• Experience with teams working in a TypeScript monorepo that have built complex web applications
• Strong AWS Cloud experience and architectures
• Proven track record of enabling team velocity and quality through technical leadership and tooling improvements
• Demonstrated ability to make teams faster and more productive through technical improvements
• Experience mentoring engineers and raising the technical bar across an organization
• Strong communication skills with ability to explain complex technical concepts to diverse audiences
• Track record of making pragmatic technical decisions that balance innovation with stability
• Experience influencing technical strategy and driving adoption of best practices across teams
• Hands-on experience with conceived the deployment, monitoring, and lifecycle management of complex web applications
• Understanding of AI model optimization and production challenges
• Knowledge of modern TypeScript tooling, build systems, and testing frameworks
• Experience crafting, fine tuning and optimizing developer setup and tools, internal platforms, or infrastructure systems
• Bias for action with ability to move quickly in a fast-paced, ambiguous environment
• Passion for developer experience and building tools that enable others to be productive
• Growth mindset with eagerness to learn and adapt in the rapidly evolving AI landscape
• Collaborative approach with ability to work effectively across time zones in a remote-first environment
• Strong problem-solving skills with focus on pragmatic solutions that deliver business value
• Knowledge of AI safety, bias detection, and responsible AI practices

Desirable

• As a Staff Engineer on the Developer Experience team, you'll be the technical enabler of our AI future
• You'll work at the intersection of infrastructure, tooling, and AI systems to create the developer experience that allows our engineering teams to build, deploy, and iterate on AI features at scale
• This is a hands-on technical leadership role where you'll both architect solutions and write code while mentoring engineers across the organization
• Design and build developer tools, frameworks, and infrastructure that enable rapid software development
• Architect scalable pipelines, low-latency infrastructure, and testing platforms; preferably using AWS services
• Lead technical decisions around AI tooling, and developer workflows
• Drive technical standards and best practices for AI development across engineering teams
• Help establish technical roadmaps that balance innovation with stability and developer productivity
• Ensure the local development environment is developer-friendly, and that onboarding and documentation for services are up to date
• Establish CI/CD pipelines optimized for AI workloads
• Design monitoring, observability, and debugging tools for AI systems that improve developer velocity
• Build automation and tooling that reduces manual work and accelerates feature delivery
• Identify and eliminate friction points in the development process that slow down engineering teams
• Build and optimize development workflows, testing frameworks, and deployment processes
• Create self-service tools and platforms that enable teams to be autonomous and move faster
• Implement metrics and monitoring to measure and improve team velocity and code quality
• Drive adoption of best practices that improve both development speed and software quality
• Partner with product teams to understand their requirements ensure they have the necessary infrastructure in place to succeed
• Collaborate with infrastructure teams to ensure scalable AI infrastructure on AWS
• Mentor and guide engineers across teams on AI best practices, tooling, and JavaScript/TypeScript monostack development
• Influence technical strategy across the organization through technical leadership and expertise
• Research and evaluate emerging AI technologies, frameworks, and development practices
• Prototype new developer tools and workflows that improve AI development velocity
• Drive adoption of best practices for AI model lifecycle management, versioning, and governance
• Contribute to technical strategy and roadmap for AI infrastructure and tooling