Software Engineer – Distributed Systems
| Company | Replit |
|---|---|
| Location | San Mateo, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.
- Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally.
- Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative.
- Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project.
- Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly.
Responsibilities
- Expand Replit’s cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently.
- Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base.
- Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services.
Preferred Qualifications
- Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration.
- Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage.
- Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS!