• Ownership of end-to-end software development. • Responsible for designing, coding, testing, debugging, and deploying high-quality software solutions. • Collaborate with cross-functional teams, including product managers and designers, to architect scalable and maintainable software systems that align with business objectives. • Provide technical guidance and mentorship to other engineers, assisting them in their professional growth and ensuring adherence to best practices and coding standards. • Take a lead role in planning and executing software development projects, including setting timelines, identifying dependencies, and managing resources effectively. • Conduct thorough testing of software components, perform code reviews, and implement quality assurance measures to ensure robustness, scalability, and reliability of the software. • Stay up to date with emerging technologies, frameworks, and tools, and assess their suitability for the organization's technical stack and long-term goals. • Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers, to gather requirements, provide technical insights, and ensure successful project delivery. • Investigate and resolve complex technical issues across the application stack, providing timely solutions and ensuring minimal disruption to the end-user experience. • Identify performance bottlenecks, optimize software components, and conduct system profiling to improve overall application performance and scalability. • Identify new opportunities of applying machine learning technology to improve business workflows and processes. • Lead the end-to-end development of a full-stack Loan Origination System, including front-end, back-end, and database management. • Oversee integration of third-party services like property valuation and credit checks into the loan origination system. • Create and maintain technical documentation, including system architecture diagrams, API specifications, and user guides, to ensure clear understanding and maintainability of the software. • Ensure compliance with SOC and other regulations through thoughtful system design and proactive maintenance.

Role Description We’re looking for a Staff Software Engineer who thrives at the intersection of architecture, strategy, and execution. In this role, you’ll help define and evolve the technical direction of the platforms that power our collectibles ecosystem. You’ll lead architectural discovery, guide system design across teams, and ensure we’re building scalable, resilient systems aligned with long-term business goals. The role is eligible for a remote hire in the US. While you will remain capable of contributing code when needed, your primary focus will be on driving technical vision, enabling teams, and shaping the future of our event-driven architecture. What You’ll Do - Lead architectural design and technical discovery for complex, distributed systems across our platform. - Define and evolve system boundaries, service interactions, and data flow within our event-driven ecosystem. - Guide the design of scalable, fault-tolerant systems leveraging asynchronous communication patterns (e.g., RabbitMQ, Kafka, SNS/SQS). - Partner closely with product, engineering leadership, and cross-functional teams to translate business needs into long-term technical strategy. - Provide technical leadership across multiple teams, ensuring consistency in patterns, practices, and system design. - Drive key technical initiatives, including system modernization, performance optimization, and reliability improvements. - Contribute hands-on when appropriate—especially in prototyping, critical path development, or de-risking complex solutions. - Mentor and coach engineers, elevating technical thinking through design reviews, architecture discussions, and knowledge sharing. - Establish and promote best practices in system design, observability, and operational excellence. - Help guide incident response and postmortems, focusing on systemic improvements and resilience. Qualifications - 8+ years of experience building and evolving production-grade, distributed systems. - Deep expertise in designing event-driven and message-oriented architectures at scale. - Strong proficiency with Elixir and the Phoenix framework (LiveView experience is a plus), with the ability to guide others even when not directly coding day-to-day. - Proven experience leading architectural decisions across multiple teams or domains. - Strong understanding of system design trade-offs, data consistency models, and service decomposition. - Experience with AWS and cloud-native architectures (e.g., Lambda, S3, RDS, ECS/EKS) and modern CI/CD pipelines. - Ability to operate at both strategic and tactical levels—connecting long-term vision with practical implementation. - Excellent communication skills, with the ability to influence technical direction and align stakeholders. - Experience driving initiatives with minimal direction and high ownership. - Interest in leveraging AI-assisted development tools to accelerate discovery and improve engineering effectiveness. Nice to Have - Experience with RabbitMQ, PostgreSQL, and Kubernetes (EKS). - Familiarity with infrastructure as code (Terraform, CloudFormation). - Experience shaping or evolving microservices architectures at scale. - Familiarity with GitHub Actions or similar CI/CD tooling. - Background in performance optimization for real-time or event-driven systems. - Interest in sports, collectibles, or fan engagement platforms. Salary Range USA Remote Salary Range: $152,000 — $190,000 USD Application Information By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

• Technician App Implementation: Develop and refine the mobile/web interfaces that serve as the technician’s "copilot." • AI Agent Integration: Implement the integration layer for AI agents. • Data Model Implementation: Work with the Architect to implement and extend data schemas. • High-Velocity Delivery: Contribute consistently to the codebase, maintaining high-quality output. • Production Engineering: Help harden AI prototypes for production. • Voice Interface Support: Assist in the implementation and optimization of real-time voice communications (WebRTC/Voice AI).

• Own outcomes, not tickets. • Build with AI as a primary tool, not a chatbot bolt-on. • Ship prototypes fast, then make them production-grade. • Work directly with customers. • Raise the bar on the codebase. • Push the team forward.