Lead technical direction and build the commerce platform for Replit’s Money team, focusing on enterprise billing, spend controls, and financial correctness.
Responsibilities
Set technical direction for Replit’s financial infrastructure
Build shared services for usage-based billing, pricing, credits, subscriptions and entitlements
Automate enterprise contract lifecycles
Build timely budget enforcement, alerts and overrides
Inventory Associate role focused on counting and recording inventory with precision, following consistent workflows, and meeting daily performance goals.
Compensation
Salary Starting at 16.00/hour
Responsibilities
Count and record inventory with precision
Follow a clear, consistent workflow
Move between inventory locations, often walking or standing for extended periods
Support the Strategic Performance Lead and the Head of Strategic Performance in developing and maintaining internal factbases, monitoring key strategic initiatives, and delivering high‑quality reporting and insights for senior leadership.
Responsibilities
Support the Strategic Performance Lead in preparing materials and analysis for the weekly Big Bets forum and other executive‑level meetings.
Build and maintain internal factbases by gathering, validating, and synthesising data from multiple sources.
Conduct performance tracking for all Big Bets, monitoring progress, risks, blockers, and mitigation plans.
Prepare reports, dashboards, and presentations for senior management, ensuring clarity, accuracy, and alignment with strategic priorities.
Assist in the implementation and sharing of best practices across the function and with other teams.
Requirements
Nice to have: Experience in strategy, business performance, transformation, or a similar analytical role
Nice to have: Experience in data analysis, research, or project support
Nice to have: Exposure to working in a global or matrixed organization
Design and own distributed systems that span services, clusters, and cloud environments, architect backend systems and infrastructure for high‑concurrency workloads, build and operate infrastructure across multiple cloud providers, and define observability strategies.
Responsibilities
Design and own distributed systems that span services, clusters, and cloud environments.
Architect backend systems and infrastructure for high‑concurrency, high‑throughput workloads.
Build systems for scheduling, coordination, and execution of large‑scale simulation workloads.
Design data flows and storage systems for large‑scale, latency‑sensitive workloads.
Drive system architecture decisions across backend and infrastructure layers.
Requirements
Bachelor's degree in a relevant field (e.g. computer science) or equivalent practical experience
Lead and develop storage systems for large-scale HPC and AI clusters, improving performance, reliability, and integration across NVIDIA platforms.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Poland: 375,000 PLN – 650,000 PLN for Level 5; and 483,750 PLN – 838,500 PLN for Level 6.
France: 114,000 EUR – 197,600 EUR for Level 5; and 150,000 EUR – 260,000 EUR for Level 6.
Germany: 141,900 EUR – 245,960 EUR for Level 5; and 165,825 EUR – 287,430 EUR for Level 6.
Responsibilities
Engineer and integrate storage systems for large-scale HPC and AI clusters, including Lustre, NFS, and their interaction with compute nodes, networks, and storage hardware.
Examine performance and reliability issues throughout the I/O stack, supervising application behavior across filesystem clients, Linux kernel paths, network protocols, servers, and storage devices.
Develop software fixes and performance improvements, working with NVIDIA engineering teams, storage partners, and open-source maintainers to bring changes through review, testing, and deployment.
Characterize real application I/O, including training-data access, checkpoint and restart, metadata-intensive operations, and concurrent workloads. Translate findings into improvements to software, and system configuration and design.
Build reproducible benchmarks, diagnostic tools, and regression tests that measure efficiency, latency, metadata performance, scalability, and behavior under contention.