Senior Full-Stack Engineer

3 days ago

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RunPod

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RunPod is a cloud-based platform designed to facilitate the training, fine-tuning, and deployment of AI models. It provides a globally distributed GPU cloud that enables users to seamlessly deploy their AI workloads while focusing on building machine learning applications. With features like fast pod spinning, autoscaling, and support for multiple machine learning frameworks, RunPod caters to startups, academic institutions, and enterprises alike, offering a powerful and cost-effective solution for machine learning development.

Machine Learning • Artificial Intelligence • Deep Learning

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🔥 Funding within the last year

💰 Seed Round on 2024-05

📋 Description

• The next trillion dollar company will be built by a small team using AI. • RunPod is the leading platform to build, run, and scale AI models. • In 78 seconds, a developer can deploy their AI model to any of our 37 global data centers. • Over 100,000 developers have chosen RunPod to power the AI capabilities of applications that will bring new experiences to billions of people. • We are seeking a Senior Full-Stack Engineer with 10+ years of experience to help scale our PaaS platform, bridging the gap between Frontend (website UI, SDK, client tools) and Cloud systems that power AI workloads. • This role requires deep expertise in PaaS best practices, cloud-native architectures, distributed systems, and database scalability. • You will work on the Front-to-Cloud stack, ensuring seamless interaction between client-facing applications and cloud services. • You will focus on scalability, data consistency, performance, and engineering best practices to enable multi-region, event-driven, and distributed architectures. • You will also play a key role in shaping RunPod’s PaaS ecosystem, collaborating with Engineering leadership, Product Managers, and Cloud Infrastructure teams.

🎯 Requirements

• 10+ years of professional experience in full-stack development, with a strong emphasis on scalable PaaS platforms. • Deep expertise in Python (AI experience a plus). • Proficiency in TypeScript/JavaScript and Go Lang (strict type languages a plus). • Proficiency in developing frontend applications (React, Next.js a plus). • API Development: Proficiency in designing and maintaining high-performance APIs, microservices, and cloud integrations. • Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, etc.), with a strong understanding of database design, indexing, and query optimization. • Hands-on experience with multi-region architectures, replication strategies, and designing for high availability. • Familiarity with event-driven patterns, message queues (Kafka, RabbitMQ, NATS, etc.), and pub/sub systems. • Experience with cloud platforms (AWS, GCP, or Azure) and best practices for serverless, containerization (Docker or Kubernetes), and cloud-native development. • Understanding of engineering team workflows, code maintainability, versioning, and CI/CD pipelines. • Security & Compliance: Knowledge of secure authentication, OAuth, JWT, and compliance frameworks. • Ability to clearly explain technical trade-offs, architecture decisions, and system designs to different stakeholders. • Successful completion of a background check

🏖️ Benefits

• The competitive base salary for this position ranges from $160,000 to $190,000. The final salary will be determined during the interview process, based on factors such as the candidate's experience, qualifications, and location. • Stock options • The flexibility of remote work with an inclusive, collaborative team. • An opportunity to grow with a company that values innovation and user-centric design. • Generous vacation policy to ensure work-life harmony and well-being. • Contribute to a company with a global impact based in the US, Canada, and Europe.