DevOps Engineer

As a DevOps Engineer at 𝚝𝟷, your primary responsibilities will include developing CI/CD pipelines, implementing monitoring systems, handling incident response, and maintaining infrastructure for both cloud and bare-metal deployments. You’ll also automate infrastructure management with tools like Terraform and Ansible while ensuring security and performance optimization across our blockchain infrastructure.

The DevOps Engineer role at 𝚝𝟷 requires proficiency in CI/CD tools like GitHub Actions, strong knowledge of Docker and Kubernetes, and experience with monitoring and observability tools. Familiarity with cloud platforms like AWS or GCP, along with a solid understanding of Ethereum ecosystems and infrastructure as code practices, is essential for this position.

At 𝚝𝟷, a DevOps Engineer will work on exciting projects, including the development of smart contract deployment pipelines, automation of testing and monitoring systems, and enhancing the infrastructure for our TEE-enabled rollup. They will also collaborate on scalability and performance optimization of rollup technologies within the Ethereum ecosystem.

Yes, the DevOps Engineer position at 𝚝𝟷 is a remote role. However, we are specifically looking for candidates who are located within time zones that fall between Eastern Time (ET) and Central European Time (CET), ensuring effective collaboration across our team.

Working at 𝚝𝟷 offers the opportunity to be part of a pioneering project aimed at unifying the Ethereum ecosystem for developers and users. With a focus on innovative technologies, a collaborative work environment, and a commitment to professional growth and development, 𝚝𝟷 is an ideal place for passionate DevOps Engineers who want to make an impact in the blockchain space.

When answering this question, highlight your experience with CI/CD tools, particularly GitHub Actions, and explain how you have used them for automating deployments and managing infrastructure seamlessly. Detail any specific projects where you implemented these tools and the outcomes achieved.

Discuss your proficiency with IaC tools like Terraform or Ansible. Provide examples of projects where you used these tools for managing infrastructure, emphasizing how it enabled reproducibility and simplified management during deployments.

Explain the monitoring solutions you’ve implemented in previous roles, such as using Prometheus or Grafana. Discuss setting up alerting systems and dashboards to proactively manage system performance metrics effectively.

Detail specific incident response strategies you have developed, such as creating runbooks or incident management systems. Highlight how these strategies helped minimize downtime and improved overall system reliability during emergencies.

Provide a brief overview of a project involving Docker and Kubernetes, explaining your role in containerizing applications and orchestrating deployment. Focus on the benefits that were realized, such as improved scalability or efficiency.

Discuss your approach to security, including tools like HashiCorp Vault for key management. Explain the security practices you follow in your deployment pipelines and how you ensure infrastructure and application security throughout the lifecycle.

Provide insights into the techniques you consider when optimizing blockchain infrastructure, such as load balancing, rate limiting, and how these practices can improve latency and throughput in a decentralized environment.

Discuss your hands-on experience with Ethereum technologies, including running production execution clients like Geth or Reth. Highlight any projects where you engaged with EVM-compatible rollup technologies or other Ethereum ecosystem tools.

Provide a specific example where you worked closely with smart contract developers or researchers, detailing the collaboration process and how it led to a successful resolution of a technical challenge.

Explain why automation is critical in DevOps. Share examples of automated processes you’ve implemented that improved efficiency and reduced the possibility of human error during deployments.