• Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted user journeys. • Make complex financial flows feel clean, fast and simple on mobile. • Work with product, design, backend and AI engineers to take ideas from rough concept to production release. • Own app quality across performance, crash rate, loading states, edge cases, responsiveness and release stability. • Use production feedback, analytics and customer behaviour to improve features after launch. • Integrate APIs, authentication, secure data handling and financial workflows with strong attention to reliability.

• Independently managing a range of technical tasks • Implementing enhancements and performing upgrades • Delivering maintenance fixes to meet project requirements • Identifying and resolving complex issues quick • Using Python, React, AI, Terraform in development • Managing code repositories using Git and GitHub

• Team capacity planning and hiring: define roles, manage recruitment, interviewing, make hiring decisions, oversee onboarding. • Hold regular team and one-on-one meetings. • Leadership oversight and performance management for technical leads. • Team-building activities. • Manage personnel (dismissals, promotions, leave authorizations, bonuses, compensation). • Regular performance reviews, address performance issues, and develop PIPs. • Run regular grooming sessions. • Assign and monitor engineering tasks. • Provide technical validation (code review, quality assessment, and release authorization); serve as an escalation point for critical issues. • Guide architectural design and technical decisions for integration projects. • Define and enforce team-wide engineering standards. • Oversee infrastructure architecture and security for distributed systems processing sensitive payroll, financial, and PII data in SOC 2-compliant environments. • Lead design and implementation of data quality monitoring systems for payroll accuracy. • Oversee project planning, execution, and timely completion. • Task prioritization, track improvements in business metrics, identify blockers. • Represent the engineering team in client-facing technical discussions. • Telecommuting/Work-From-Home within the U.S.

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We’re looking for a Director of Infrastructure Engineering to lead and scale Runpod’s core cloud and bare-metal environments. This role owns the critical foundational layers of our platform—Site Reliability Engineering (SRE), global networking, High-Performance Computing (HPC) networks, and distributed storage engines. You’ll build the operating rhythm, culture, and technical direction that ensures Runpod remains highly available, performant, and capable of scaling to meet massive GPU computing demands. You will partner tightly with Product Engineering, Product, and GTM leadership to support enterprise customers. Your focus is ensuring that our underlying infrastructure provides the absolute fastest, most reliable, and lowest-latency path for customers training and running large-scale AI workloads. Responsibilities: - Own Core Infrastructure & SRE: Lead multiple engineering teams responsible for Site Reliability Engineering, networking, and storage. Establish rigorous SRE practices, driving SLA/SLO definitions, incident response, observability, and automated remediation. - Architect HPC & Global Networking: Oversee the design, scaling, and operation of Runpod’s global network backbone, as well as ultra-low-latency HPC cluster networks. Drive the implementation and optimization of InfiniBand and RDMA over Converged Ethernet (RoCE) to support massive, multi-node GPU training workloads. - Drive Storage Engine Innovation: Direct the architecture and performance tuning of highly scalable, distributed storage systems. Ensure our storage engines can deliver the massive IOPS and throughput required to keep high-end GPUs fed with data during deep learning tasks. - Build a High-Output Org: Hire, mentor, and grow highly technical engineering managers and senior ICs (network architects, systems engineers, SREs). Create a culture of ownership, operational excellence, and craft in a remote-first environment. - Translate Scale into Strategy: Partner with Program Management and Product to forecast capacity requirements, shape technical roadmaps, and convert massive scale challenges into clear technical scopes, milestones, and measurable outcomes. - Continuously Improve Systems & Flow: Drive measurable improvements in infrastructure reliability and delivery metrics, such as deployment frequency, MTTR (Mean Time To Recovery), infrastructure as code (IaC) coverage, and system uptime. - Architectural Stewardship: Provide architectural oversight for bare-metal provisioning, virtualization layers, network fabrics, and storage clusters, ensuring seamless scalability without becoming a bottleneck for your teams. - Cross-Functional Partnership: Coordinate cleanly with product delivery and platform teams to ensure the infrastructure primitives they rely on are robust, well-documented, and highly available. Requirements: - Engineering Leadership Experience: 7+ years leading software, infrastructure, SRE, or networking teams, including managing managers and multiple squads, with a proven record of scaling high-availability cloud environments. - Deep Infrastructure Expertise: 8+ years building and operating large-scale distributed systems, bare-metal infrastructure, or public/private cloud platforms. - HPC & Advanced Networking: Proven hands-on background or strong architectural understanding of ultra-low latency networking. Deep familiarity with InfiniBand and/or RoCE, spine-leaf architectures, and global WAN routing protocols (BGP). - Storage Systems Knowledge: Experience building, operating, or tuning high-performance distributed storage systems and parallel file systems (e.g., Ceph, Lustre, Weka, NVMe-oF) capable of handling heavy AI/ML I/O loads. - SRE / DevOps Culture: Strong foundation in reliability engineering, infrastructure-as-code (Terraform, Ansible), container orchestration (Kubernetes), and modern observability stacks. - Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed technical teams. - Communication & Collaboration: Clear written and verbal communication, strong stakeholder management, and calm, decisive leadership during high-stakes operational incidents. - Background Check: Successful completion of a background check. Preferred Qualifications: - Direct experience architecting and operating infrastructure specifically optimized for massive GPU clusters and AI/ML workloads. - Deep understanding of hardware architectures, GPU interconnects (NVLink), and datacenter topology. - Track record of scaling infrastructure teams in hyper-growth startup environments. - Open-source contributions or active recognition within the infrastructure, networking, or Kubernetes communities. What You’ll Receive: - The competitive base pay for this position ranges from ($225,000 - $325,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. - Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside. - Generous medical, dental & vision plans. - Flexible PTO- take the time you need to recharge. - Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication. - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale. - $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace. Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.