Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Revenue and Financial Automation (RFA) team at Stripe is building a modern, revenue-focused, financial management platform for fast growing, digital native companies. - Billing: Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering Usage-Based Billing, and providing recovery and retention tools to prevent customer churn. Note: exact team matching for one of the pods will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. What you’ll do As an engineer on the team, you’ll be responsible for shaping and building a suite of products that let our users model and operate their business more efficiently. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day. In this cross functional role, you will collaborate with experts in infrastructure, security, design, and operations to build mission critical internal and external features that power Stripe users around the world. Responsibilities - Design the next generation of Stripe products, to meet the high growth needs of our company and customers for years to come. - Deliver value through a strong collaborative and users-first approach with stakeholders and customers. - Mentor engineers to help them grow - Debug and solve critical production issues across services and multiple levels of the stack Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 2-12+ years of experience in backend software development - Ability to write high quality code (in programming languages like Go, Java, C/C++, etc.) - Hands-on experience contributing to or building large scale distributed systems - Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success - Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial Preferred Qualifications - Familiarity with event-driven architectures - Experience with subscription management, usage-based billing, or financial reporting systems - Interest in financial infrastructure and how businesses manage their revenue operations - Direct leadership and mentorship experience

Title: Sr. Backend Software Engineer - Generative AI Solutions Location: Seattle, WA, United States Job Description: Our team operates at the intersection of Adobe's Generative AI platform and advanced creative workflows. We focus on building custom, production-ready generative AI solutions that integrate naturally into modern media pipelines. This is a highly autonomous, high-impact role with visibility across Adobe's product, research, and engineering organizations. You will help shape how generative AI capabilities are translated into practical, user-friendly applications and workflows - working hands-on with node-based systems, custom tooling , and cutting-edge AI capabilities to solve complex creative and technical problems. Responsibilities - Design, build, and maintain scalable backend services, APIs, and data pipelines. - Write high-quality code to extend, automate, and operationalize generative AI workflows, including scripting, backend services, and pipeline tooling. - Collaborate closely with Adobe research, product, platform, design, and engineering teams to translate new capabilities into usable solutions. - Incorporate feedback to improve usability, performance, and reliability of tools and workflows. - Own solutions end-to-end, from early concept and experimentation through deployment, documentation, and ongoing iteration. - Contribute to engineering and workflow best practices for building scalable, flexible generative AI systems. Core Requirements - Deep understanding of how large language models and diffusion models are trained and operate, including trade-offs made during training and inference. - Significant professional experience designing, developing, and deploying delightful, high-traffic web applications and services with AWS, Azure, or Google Cloud on high-performing, high-trust teams. - Strong programming skills in Python, with experience building tools, services, or automation for creative workflows. - Comfortable working in ambiguous problem spaces and rapidly learning new tools and technologies. - Ability to work independently in a hybrid or remote-first environment while collaborating effectively across disciplines and time zones. - Clear and thoughtful communicator with the ability to bridge creative and technical perspectives. - Passionate about using AI as a force multiplier to build quickly and confidently Bonus Qualifications - Experience building custom generative AI workflows with an emphasis on node-based systems such as ComfyUI - Experience with other languages such as C++, Go, and Typescript - Familiarity with Adobe Creative Cloud applications and extensibility. - Experience mentoring or influencing best practices across multidisciplinary teams. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $208,300 - $301,600 In New York, the pay range for this position is $208,300 - $301,600 In Washington, the pay range for this position is $190,200 - $275,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• Develop and enhance Python backends for demanding cloud projects • Build infrastructure with Terraform (IaC) and leverage modern AWS services • Testing, documentation, and agile work using Jira and user stories • Actively collaborate with clients — you act as a consultant on equal footing • Contribute to ongoing projects, including work for a well-known OEM and an innovative AI startup • Optional: Mentor working students or junior developers

Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full‑stack AI applications. Founded in 2022, we are a rapidly growing, well‑funded, remote‑first company with a global team across the US, Canada, and Europe. Our mission is to create a foundational platform that enables developers and companies to build, deploy, and scale custom AI systems with speed and flexibility. As AI workloads continue to push the limits of throughput, latency, and parallelism, Runpod is investing heavily in next-generation storage architectures purpose-built for GPU-centric compute. We are looking for an Engineering Manager, Datacenter Storage Engineering to lead the team responsible for Runpod’s distributed storage infrastructure across all regions. This role owns the end-to-end storage stack — from NAND and NVMe devices through filesystems, transport protocols, and cluster-level deployment — ensuring performance, reliability, and scalability for AI workloads. You will manage engineers designing and operating large-scale SAN and NFS-based systems, including high-performance shared filesystems for training workloads. This role requires deep technical fluency and architectural leadership, combined with strong people management and operational discipline. Responsibilities - Own Distributed Storage Architecture: Define, evolve, and operate Runpod’s global storage platforms, supporting training, inference, checkpointing, and dataset access at scale. - Build the Storage Engineering Team: Manage and grow a team of storage and systems engineers. Set clear ownership, technical direction, and operational standards across regions. - High-Performance Shared Filesystems: Design and operate large-scale SAN and NFS deployments, including performance-sensitive shared storage for GPU clusters.= - Advanced Filesystems & Platforms: Lead deployments and operations of VAST Data and experience with Lustre or similar parallel filesystems used in HPC and AI environments. - End-to-End Performance Ownership: Drive performance optimization from NAND and NVMe media through controllers, networking, and client access patterns. - Next-Generation Storage Technologies: Evaluate and deploy cutting-edge capabilities such as NFS over RDMA, GPU Direct Storage (GDS), and low-latency data paths for accelerated workloads. - Reliability & Scale: Establish best practices for replication, data tiering, data protection, failure recovery, capacity planning, and lifecycle management. - Automation & Observability: Build automation for provisioning, expansion, upgrades, and monitoring. Ensure deep observability into throughput, latency, and error characteristics. - Cross-Functional Collaboration: Partner with Datacenter Networking, GPU Platform, SRE, and Product teams to ensure storage systems meet evolving workload and customer needs. - Vendor & Partner Management: Own technical relationships with storage vendors, hardware partners, and colocation providers; drive roadmap alignment and issue resolution. Requirements - Engineering Leadership Experience: 3+ years managing storage, systems, or infrastructure engineering teams in production environments. - Distributed Storage Expertise: 8+ years designing and operating large-scale storage systems, including SAN and NFS architectures at multi-petabyte scale. - VAST Data Experience: Hands-on experience deploying, operating, or deeply integrating VAST Data in production environments is required. - Parallel Filesystems: Experience with Lustre or comparable HPC filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads. - Low-Level Storage Knowledge: Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the stack. - High-Performance Data Paths: Proven experience with NFS over RDMA, RDMA-capable transports, or similar technologies. Familiarity with GPU Direct Storage strongly preferred. - Linux Systems Expertise: Strong Linux internals knowledge, including filesystems, I/O scheduling, memory management, and tuning for performance workloads. - Operational Excellence: Experience running 24/7 storage platforms with strong incident response, change management, and post-mortem discipline. - Communication & Leadership: Ability to clearly communicate complex technical tradeoffs and lead teams through high-stakes infrastructure decisions. - Successful completion of a background check. Preferred Qualifications - Experience supporting AI training pipelines, large-scale model checkpointing, and dataset streaming workloads. - Familiarity with RDMA fabrics and close collaboration with datacenter networking teams. - Experience designing storage systems for multi-tenant isolation and secure data access. - Background in hyperscale, HPC, or AI-focused infrastructure environments. - Experience building internal storage platforms or abstractions consumed by product teams. What You’ll Receive: - The competitive base pay for this position ranges from $150,000 - $240,000 USD. 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 — we cover 100% for all employees and partial for dependents. - 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.