• You will design, build, and iterate on AI-powered product experiences across Fleetio’s Rails and React application. • You will partner closely with Product, Design, Data, Customer Success, and other engineers to identify customer problems where AI can meaningfully improve the workflow. • You will create high-quality front-end experiences using Fleetio’s current React, TypeScript, Vite, Storybook, Tailwind, and component patterns, while caring deeply about accessibility, usability, maintainability, and performance. • You will work across the stack, including Rails APIs, database-backed product workflows, AI integration points, prompts, evaluation flows, observability, and customer-facing UI. • You will prototype quickly, learn from experiments, and help the team decide when to iterate, harden, or discard an approach. • You will review code and designs with a strong eye for user experience, front-end quality, correctness, readability, performance, security, and long-term maintainability. • You will mentor other engineers in React, TypeScript, Rails, AI tooling, experimentation, and pragmatic product engineering practices.

• Build and ship new features across Privacy.com’s product suite, working on both frontend and backend systems • Use AI coding tools (Claude Code, Cursor, Copilot, etc.) effectively across the full development lifecycle and help establish patterns for the team • Collaborate with product and design to translate requirements into technical solutions that prioritize customer experience • Think critically about user flows, edge cases, and how technical decisions impact the end-user experience, including where AI-generated code needs the most human scrutiny (security, payments correctness, edge cases) • Write clean, maintainable code with comprehensive tests and documentation • Participate in code reviews and pair programming to maintain quality, share knowledge, and raise the bar on how the team uses AI • Debug production issues and improve system reliability and performance • Contribute to engineering best practices and help scale our systems as the business grows

Role Description We are looking for a Senior Fullstack Engineer with a strong technical foundation to work on developing an application in the fintech / financial management space, involving external integrations and handling large volumes of data. - Develop end-to-end features (backend and frontend); - Build and evolve REST APIs; - Work with data modeling and query optimization; - Integrate with external APIs (e.g., Plaid); - Ensure code quality, testing, and technical standards; - Participate in architectural decisions. Qualifications - 5+ years of experience as a Full-Stack Developer; - Strong experience with Node.js + TypeScript (4+ years, including API design and production systems); - Solid experience with React / Next.js (3+ years, building scalable frontends); - Practical experience with PostgreSQL (data modeling and query optimization); - Strong experience designing and maintaining REST APIs in production environments; - Practical knowledge of authentication and security (e.g., JWT, access control, common web vulnerabilities); - Hands-on experience with Docker (building images, running containers, managing environments); - Good technical decision-making skills; - Proactive problem solving skills. Requirements - You’ll stand out if you… - Have experience with fintech or financial systems; - Have experience with external integrations and applied AI; - Possess knowledge of performance and scalability. Benefits - A true builder’s environment, with autonomy and real ownership; - Space to test ideas; - A high-performing team and challenging, meaningful projects; - The opportunity to grow with the company and leave your mark. Schedule Mon - Fri 9:00 am - 5:00 pm (East-time). The position is full-time, which means that you must be available every working day between 9 am and 5 pm EST due to time-zone changing according to Daylight saving time in the United States. Our selection process We want you to have a smooth and transparent experience throughout your journey with Globalfy. Here’s what you can expect from our selection process: - Screening; - Interview with HR; - Interview with the Hiring Manager; - Live assessment; - Reference verification. Note: The selection process may vary depending on the position and can include additional stages if necessary.

• Owning the vNode technical execution: Drive the architecture for how vNode wraps containerd, integrates with the kubelet, and exposes safe isolation primitives. You will set the bar for what ships, what gets deferred, and what gets redesigned. • Going deep on container runtimes and isolation: Lead the work where vNode meets containerd, Kata Containers, gVisor, runc, and the kernel. You will be the person who can explain (and improve) exactly what happens between a Pod spec and a process running under a constrained user namespace with a tight seccomp profile. • Shipping the kubelet integration surface: Own how vNode plugs into the node lifecycle: CRI, kubelet device plugins, cgroups v2, eviction, and the rough edges between Kubernetes' node model and a runtime that does not assume one tenant per node. • Raising the engineering bar: Run technical design reviews, set the pattern for testing isolation guarantees, and mentor the engineers shipping alongside you. You are not a people manager, but you are the engineer the team copies. • Being Customer Zero for vNode: Run vNode against vCluster Platform tenant clusters internally before customers see it. You will close the loop between what AI Cloud operators need and what vNode actually does in production. • Representing vNode externally: Contribute upstream where it matters (containerd, runc, Kubernetes SIG-Node), write the technical posts that explain why namespace-based isolation is the right answer, and represent vCluster Labs at KubeCon-class venues when the timing is right.