Senior Full-Stack Engineer

Company Overview

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.

Responsibilities

• Full-Stack Development: Build and optimize applications that span from the frontend (React, Next.js, Python, SDKs, CLIs) to the cloud backend (Go Lang and Typescript).
• Database Design & Architecture: Design and optimize SQL (PostgreSQL, MySQL) and NoSQL databases, ensuring data integrity, efficiency, and scalability.
• PaaS Best Practices: Implement industry best practices for scalable, secure, and reliable PaaS platforms.
• Event-Driven Systems: Architect event-driven patterns using message queues, event buses, and eventual consistency models.
• Multi-Region Architecture: Design and maintain multi-region architectures that ensure data consistency, fault tolerance, and high availability.
• ACID & Distributed Data Models: Work with transactional integrity (ACID), eventual consistency, and CAP theorem trade-offs to optimize system performance.
• Performance Optimization: Improve query performance, caching strategies, and cloud interactions to enhance scalability.
• Scaling Code for Large Teams: Implement best practices for code organization, modularity, and maintainability to support a growing engineering team.
• Test-Driven Development: Expand and standardize our tests in a TDD approach to increase our test coverage.
• Cross-Team Collaboration: Work closely with Frontend, Cloud, and Infrastructure teams to ensure smooth communication between the UI, cloud services, and backend systems.
• Security & Compliance: Advocate for secure coding practices, protecting customer data, and ensuring compliance with industry standards.

Job 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

Most Preferred

• Experience working at a high-growth PaaS company, helping scale platforms from startup to enterprise level.
• Experience with distributed transactions, CQRS, and eventual consistency models.
• Familiarity with GraphQL, gRPC, or WebSockets for efficient client-server communication.
• Knowledge of caching strategies (Redis, Memcached) and CDN optimization.
• Experience implementing observability tools (OpenTelemetry, Datadog, Prometheus) for monitoring and debugging.
• Contributions to open-source projects or strong engagement with the developer community.

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