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Replit

Software Engineer, Cloud Services

Replit, San Mateo, California, United States, 94409


About Replit Replit is on a mission to onboard the next billion software creators and AI has only accelerated things. It's the evolution of no code/low code: AI native coders. 30 million people have signed up to build applications, internal tools, and workflows on Replit - many of them with zero coding experience. Join the biggest change in technology since the arrival of the personal computer. Join us and help build software faster. About the role: Join our Platform Engineering Team and help empower millions of developers worldwide to deploy their applications seamlessly. As a member of this dynamic team, you will play a crucial role in shaping the future of our cloud deployment services, ensuring scalability, reliability, and cost-effectiveness. We are seeking talented full stack and platform engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of our deployment stack, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you. Examples of what you could do: Expand our deployment offerings: Launch new deployment types and introduce advanced cloud primitives such as databases, network solutions, and object storage. 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 performance: Take ownership of the reliability and performance aspects of our deployment stack. Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with our 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. Leverage AI for infrastructure management: Explore and implement innovative ways to leverage artificial intelligence and machine learning techniques to streamline infrastructure management and maintenance. Develop intelligent systems that can automatically detect and resolve issues, optimize resource allocation, and provide proactive recommendations. By harnessing the power of AI, you will help reduce operational overhead and enable our team to focus on higher-level tasks. Improve developer experience: Contribute to the development of intuitive APIs, SDKs, and developer tools that simplify the deployment process and provide a delightful user experience. Collaborate with our developer relations team to gather feedback, understand pain points, and iterate on solutions that cater to the needs of our diverse developer community. Drive cost optimization: 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. Required skills and experience: Able to demonstrate 5+ years of working experience in one of the following areas: 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. Full-stack engineering: Expertise in developing end-to-end applications, from frontend to backend, in collaboration with infrastructure teams. Proficiency in multiple programming languages, web frameworks, and database technologies. 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. Bonus Points : 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 Google Compute Engine, Cloud Run, or Cloud Storage. Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. Full-Time Employee Benefits Include: Flexible Work Hours Competitive Salary & Equity Home Office Set-Up Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Monthly Expenses Stipend Paid Parental, Medical, Caregiver Leave Flexible Time Off (FTO) + Holidays Quarterly Team Gatherings Interviewing + Culture at Replit Life at Replit Operating Principles Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds. The overall market range of base compensation for roles in this area of Replit is typically $160,000 - $193,000. Compensation offered will be determined by additional factors such as location and experience. This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. #J-18808-Ljbffr