<div>About Arcana<br>At Arcana, we understand technology networks and what drives businesses forward. From cloud-native platforms and data-driven solutions to DevOps automation, enterprise-scale services, infrastructure, and digital transformation, we deliver innovative solutions that help enterprises become smarter, more scalable, and more secure.<br>We are growing rapidly and run a fully containerised, cloud-native platform on self-managed Kubernetes clusters in GCP, with around 3,000 nodes at scale. Our workloads and databases run on Kubernetes, and we operate a centralized, high-volume observability stack along with in-house alerting and access-request tools.<br>We are looking for a hands-on DevOps Engineer who enjoys self-managed open-source systems, solving problems at scale, and improving developer experience.<br><br>What you’ll do</div> <ul> <li>Operate and scale large self-managed Kubernetes environments on GCP, including workloads and databases.</li> <li>Manage cloud infrastructure using Terraform, Helm, and other Infrastructure as Code tools.</li> <li>Run and scale our centralized observability stack for high-volume metrics, logs, dashboards, and alerting.</li> <li>Build and improve internal developer-productivity, deployment, alerting, and access-request tools.</li> <li>Work with developer, backend, frontend, security, and platform teams to reduce friction and improve release reliability.</li> <li>Troubleshoot production issues, automate repetitive work, and maintain platform-security best practices.</li> <li>Use LLMs and AI tooling efficiently for troubleshooting, automation, documentation, and improving engineering workflows.</li> <li>Write clear documentation and guide teams on DevOps best practices.</li> </ul> <div><br>What we’re looking for</div> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience.</li> <li>Strong hands-on Kubernetes experience; experience with large managed or self-managed clusters is a major plus.</li> <li>Cloud experience with GCP, AWS, or Azure; GCP is strongly preferred.</li> <li>Experience with Helm and at least one IaC tool, such as Terraform or Crossplane.</li> <li>Strong experience with open-source observability tools; Grafana is required, and Prometheus, Loki, Victoria or ELK/OpenSearch experience is a plus.</li> <li>Experience operating self-managed infrastructure or open-source platforms.</li> <li>Moderate Proficiency in Python, Bash, or PowerShell.</li> <li>Experience with Docker and container-based application deployment.</li> <li>Understanding of cloud and platform security best practices.</li> <li>Experience improving developer productivity, internal tooling, or engineering environments.</li> <li>Experience using LLMs or AI coding assistants to solve real engineering problems.</li> <li>Experience supporting data engineering or data science teams is a plus.</li> </ul> <div><br>Why join Arcana<br>At Arcana, we value passionate engineers who take ownership, enjoy solving hard problems, and want to grow with the company. We provide a platform to work on meaningful, large-scale challenges.<br>Here, you will have the opportunity to shape how engineering teams build, deploy, and operate software at scale, with the support of a collaborative and fast-growing team. (</div>