Senior DevOps / Infrastructure Engineer

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Infrastructure team and are looking for a new colleague to join as a Senior DevOps / Infrastructure Engineer . You can work in one of our Central Europe offices (Bratislava / Brno / Prague) or from home on a full-time basis. Are you ready to grow with us? What tech stack do we have for you? Python, Golang Kubernetes, Terraform, Gitlab Google Cloud, GCP Bigtable, GCP BigQuery, GRPC MongoDB, Redis, Elasticsearch, Influxdb, Etcd, Kafka Victoria Metrics, Grafana, Sentry Minimum requirements: At least 3 years of production experience with: Kubernetes - we are looking for engineer that not only deployed applications to a cluster, but who also understands what is happening behind the scenes and can operate 24x7 production GCP (preferred)/AWS/Azure - our solution is built on top of GCP platform. Candidate should be comfortable working with public cloud, understand the risks and benefits associated with running applications in the public cloud, be familiar with infrastructure as a code principle and have ability to make design choices between using cloud managed solutions versus self hosted alternatives Python/Go - you should be a solid programmer capable of developing custom tooling How to know if you are good fit: The qualifications outlined below serve as a guide to determine if your skills and experience align with the requirements of this position: Continuous Learning : You have a keen interest in Kubernetes and related technologies, demonstrated by your active engagement in reading and staying updated about them. Conference Participation : You have participated in DevOps related conferences, showcasing your commitment to continuous learning and networking in the field. Configuration Proficiency : You have hands-on experience configuring pod/container security context, network policies, roles and role bindings, pod affinity, host path, pod disruption budgets, priority classes, node taints, to name a few. Resource Optimization : You have analyzed resource usage of applications hosted on a cluster and implemented or suggested changes to resource requests/limits, Horizontal Pod Autoscalers (HPAs), or Vertical Pod Autoscalers (VPAs). Cluster Management : You have a deep understanding of the clusters you manage, including the types of machines used in node pools, the reasons for their selection, the enabled or disabled cluster features, the cluster version, and the node autoscaling setup. You have successfully upgraded Kubernetes cluster versions without causing interruptions to live applications hosted on the cluster. Terraform Proficiency : You have written a Terraform module with multiple interconnected resources. Monitoring and Alerting : You have experience setting up mon ... (truncated, view full listing at source)