Full-Stack Engineer (Backend Leaning) - Platform Engineering

Accountabilities:

• Develop core platform capabilities: Design, build, and maintain foundational systems for user management, workspaces, permissions, and resource access that support multiple products and engineering teams.
• Improve customer-facing experiences: Build and enhance API key management, login flows, analytics, administrative tools, workspace security, and other features that customers use directly.
• Deliver full-stack features: Own product functionality end to end, from backend services and APIs to administrative dashboards, settings pages, and other user-facing interfaces.
• Build scalable permission and resource services: Design reusable authorization and resource-management systems that enable product teams to implement features securely, efficiently, and consistently.
• Solve complex platform challenges: Address large-scale engineering problems, including managing access and permissions for customers with extensive organizational structures and large numbers of resources.
• Collaborate across teams: Work closely with Product, Sales, Forward Deployed Engineers (FDEs), customer-facing teams, and other engineering groups to understand requirements and translate feedback into practical improvements.
• Drive platform adoption: Develop reusable services and introduce changes that allow engineering teams to adopt new capabilities without extensive modifications to their existing code.
• Plan and execute safe migrations: Evaluate existing systems, identify dependencies and potential rollout risks, determine when migrations are necessary, and implement changes with minimal disruption.
• Maintain reliability and security: Apply strong engineering practices to ensure that business-critical platform services remain secure, reliable, and consistent as products and usage scale.
• Debug and operate production systems: Investigate issues using customer reports, logs, and code, identify root causes, and implement effective fixes for the systems you own.
• Take ownership from concept to delivery: Scope ambiguous problems, prioritize competing needs, make informed technical decisions, and drive projects through implementation and ongoing improvement.
• Contribute to engineering excellence: Collaborate with experienced engineers, share knowledge, and help establish reusable patterns and dependable infrastructure across the organization.

Requirements:

• Strong Python expertise: Demonstrated proficiency in Python and the ability to develop reliable, maintainable, and efficient backend services.
• Backend engineering experience: A strong background in backend development, with the flexibility and confidence to contribute to frontend development when required.
• Software and system design knowledge: Solid understanding of common software architecture and design patterns, APIs, cloud infrastructure tools, storage solutions, and data structures.
• Testing and security fundamentals: Strong knowledge of test design, automated testing practices, application security, and building robust production systems.
• Experience with complex systems: The ability to learn a large existing codebase quickly, understand system dependencies, and make careful changes to live, business-critical infrastructure.
• Technical ownership: The ability to take responsibility for features throughout their lifecycle, from problem definition and design to deployment, monitoring, and maintenance.
• Comfort with ambiguity: Confidence in defining problems, determining what needs to be built, evaluating competing priorities, and making sound decisions with incomplete information.
• Reliability-focused mindset: Strong attention to detail and an understanding of the importance of safe rollouts, backward compatibility, security, and minimizing disruption to existing users and systems.
• Problem-solving ability: A structured, analytical approach to tackling challenging technical problems and developing scalable, reusable solutions.
• Collaboration and communication: The ability to work effectively with engineers, product teams, and customer-facing stakeholders to understand requirements and deliver meaningful improvements.
• Flexible qualification criteria: No formal degree, certification, or specific number of years of professional experience is required. Candidates should demonstrate their engineering ability through challenging projects, practical accomplishments, or GitHub contributions.

Advantages:

• Experience with authentication, authorization, and permission-management technologies, such as OAuth, single sign-on (SSO), System for Cross-domain Identity Management (SCIM), or role-based access control (RBAC).
• Familiarity with Kubernetes and container orchestration.
• Experience building internal platforms, shared infrastructure, or reusable services consumed by other engineering teams.
• Experience designing scalable systems that support complex enterprise requirements, organizational hierarchies, and fine-grained access controls.

Benefits:

• Remote-first flexibility: Work remotely from Germany or other eligible locations across Europe, Ireland, Poland, the United Kingdom, and the United States, subject to hiring eligibility.
• International office access: The option to work from offices in Dublin, London, New York, San Francisco, or Warsaw.
• Professional development budget: Receive an annual discretionary stipend to support learning, training, and career development.
• Monthly coworking allowance: Access a coworking stipend if you are not located near one of the main office hubs.
• Annual social travel stipend: Receive financial support to meet colleagues in person and build professional relationships.
• Company-wide offsite: Participate in an annual team gathering at a different destination each year.
• Innovative engineering culture: Work in an AI-first environment that values rapid experimentation, technical excellence, autonomy, and minimal bureaucracy.
• Career growth opportunities: Explore opportunities to expand your responsibilities, contribute across teams, and develop your technical expertise.
• Technical mentorship: Work alongside experienced engineers who provide support and guidance while encouraging independent ownership.
• Meaningful engineering impact: Build foundational systems that underpin AI products and enable millions of users and businesses to interact with technology.
• Global collaboration: Join an international team of engineers, researchers, and operators working together across multiple locations.