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# DevOps Engineer

- **Company:** SimilarWeb LTD
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Server Applications, Cloud Computing, Relational Databases, DevOps, Web Servers, Python (Programming Language), Node.Js, Ruby, Data Logging, Google Cloud, Load Balancing, Large Language Models, Caching, Reliability of Systems, Golang
- **Published:** August 19, 2026
- **Apply:** https://job-boards.greenhouse.io/similarweb/jobs/7938197

## About the Role

* 5+ years of experience in building and maintaining production infrastructure at scale.
 * 5+ years of experience in developing automation tools and server-side applications using Python, Go, Ruby, Java, or Node.js.
 * Strong cloud experience with AWS, Google Cloud, or similar platforms.
 * Experience with the deployment, management, and leveraging of Large Language Models (LLMs) and agentic infrastructure.
 * Deep knowledge of Linux systems, including troubleshooting, architecture, and system internals.
 * Solid understanding of web servers, load balancers, caching systems, relational databases, and networking.
 * A proactive, problem-solving mindset with a passion for optimizing infrastructure and AI-driven automation.

## Description

We are looking for a Senior DevOps Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of Similarweb's platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.

If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!, * Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.

 * Manage and optimize tens of AWS accounts in a multi-account cloud environment.
 * Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency.
 * Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability.
 * Manage thousands of servers and containers, ensuring seamless infrastructure operations.
 * Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
 * Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
 * Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.


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