About OnePay OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion The Role As an Agentic Platform Engineer at OnePay, you will build the core platform services and developer frameworks that power large-scale, distributed systems and enable the next generation of intelligent, agent-driven applications. What You’ll Do - Design and operate platform-oriented core services that support high-scale distributed systems across OnePay’s product ecosystem - Architect, build, and manage Kafka-based event streaming systems that power real-time data flows and mission-critical financial workflows - Develop internal developer tooling and shared infrastructure that improve velocity, reliability, and observability across engineering teams - Build and evolve frameworks that support the construction and orchestration of agentic applications, enabling intelligent, automated workflows across products - Partner closely with engineering, data, and AI teams to solve complex distributed computing challenges in a secure, cloud-native AWS environment You Bring - 7+ years of experience in software engineering within fintech, cloud infrastructure, or large-scale distributed systems environments - Strong hands-on experience designing, operating, and scaling Kafka-based event-driven architectures - Deep expertise in distributed systems, asynchronous processing, and high-availability platform services - Production experience in AWS cloud environments and building cloud-native infrastructure - Experience building developer platforms, internal tooling, or frameworks that enable other engineers to move faster - Drive and proactivity - everyone here is a builder and executor Tools We Use We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. While you don’t need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. What We Offer - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact Standard Interview Process - Initial Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! Equal Employment Opportunity To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

• Architect Internal Platforms • Engineer Agentic Workflows • Modernize CMS Integration • AI-Driven Delivery • High-Leverage Ownership

• Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy • Identify the client's sales, marketing, and customer service requirements through discovery meetings • Delivering services and solutions for clients using Microsoft’s PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations • Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. • Conduct end-user training and create and maintain knowledge transfer documentation • Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications • Develop and continue to refine Power Platform implementation standards and tools • Present tailored demonstrations of the technology solution • Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team • Participate in daily project scrum meetings and provide a daily personal status report • Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable • Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management • Help create design documentation for new solutions and functions • Work with the support team to resolve production support issues • Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft’s wave plans

• Design, build, and operate the compute orchestration layer powering a GPU-native cloud platform for AI and high-performance workloads. • Maintain the existing CloudStack code base used in current production deployments. • Integrate new upstream CloudStack releases into the internal platform fork. • Perform upgrades of existing customer environments to newer CloudStack versions. • Design and execute safe upgrade paths for running production environments. • Troubleshoot orchestration and provisioning issues in existing deployments. • Maintain and troubleshoot CloudStack VPC networking. • Work with and understand CloudStack Debian VPC routers. • Manage networking implementations based on Open vSwitch (OVS) and OVN. • Improve the reliability of network orchestration components. • Manage hypervisor implementations based on KVM and QEMU. • Maintain and evolve the code responsible for QEMU GPU passthrough, including PCI mapping and exposure of L40S, RTX 6000 Pro, and H200 GPUs to virtual machines. • Design orchestration and scheduling primitives for the next-generation platform based on Kubernetes, Slurm, and Argo Workflows. • Build orchestration workflows that expose GPU and CPU compute resources to platform users. • Implement Kubernetes scheduling strategies including GPU partitioning, Multi-GPU job placement, and Topology-aware scheduling for distributed training and inference. • Design and implement Kubernetes-based GPU/CPU scheduling infrastructure for multi-tenant AI workloads. • Design and operate Slurm-based HPC scheduling environments integrated with Kubernetes clusters. • Implement support for Multi-node distributed GPU training, Gang scheduling, and build automation for Dynamic Slurm node registration. • Design and implement workflow orchestration using Argo Workflows and develop reusable workflow templates for common platform workloads.