Staff Full-Stack Engineer

Summary

Join Maze as a Staff Engineer on the Developer Experience team and become a key player in shaping our AI future. You will design and build developer tools, frameworks, and infrastructure for rapid software development, architect scalable pipelines and low-latency infrastructure, and lead technical decisions around AI tooling. This hands-on role requires technical leadership, mentoring engineers, and driving technical standards and best practices. You will ensure a developer-friendly environment, establish CI/CD pipelines, and build automation to accelerate feature delivery. Furthermore, you will collaborate with product and infrastructure teams, mentor engineers, and contribute to the technical strategy. The position is remote with a preference for the USA (East Coast), the United Kingdom, or Portugal.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Background in user research, analytics, or related domains
• Experience with A/B testing frameworks and experimentation platforms
• Contributions to open-source AI/ML projects or developer tools
• Knowledge of AI safety, bias detection, and responsible AI practices
• Experience building production ready MCP servers

Benefits

• Health insurance with international coverage, vision, and dental: 100% of the team member premium paid
• For some locations, coverage options vary, please see our benefits pages for more information
• Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources
• Life and Disability Insurance, 100% of the team member premium paid
• Flexible time off
• Meaningful equity
• Company retreats, fully paid for by Maze
• New MacBook (laptop), paid for by Maze
• Paid Family leave: 16 weeks for birth or adoptive parents
• $500/month to be used for dependent health insurance coverage
• If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever!
• $1,500 remote work setup fund to ensure you can set up a productive work space
• Flexible work schedule where you manage your own working hours
• Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more
• Virtual social engagements randomly throughout the year
• SWAG, we have some really cool swag
• Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more