Senior DevOps 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 — 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 DevOps / Infrastructure Engineer . You can work from home or one of our Central Europe offices (Bratislava, Brno or Prague) on a full-time basis. The base salary range for this position is 41 600 - 52 000 EUR. The pay range actually offered will take into account a variety of potential factors considered in compensation, including but not limited to skills, qualifications, geographic location, accomplishments, experience, credentials, internal equity and business needs, and may vary from the range listed above. Are you ready to grow with us?

What tech stack do we have for you?

• Kubernetes (GKE)
• Google Cloud, including a wide range of managed products such as Cloud SQL, BigQuery, Bigtable, Dataflow and Pub/Sub
• Self-hosted stack: MongoDB, Kafka, Elasticsearch, Etcd, Victoria Metrics, InfluxDB, Sentry
• Terraform, Python, Golang

Minimum requirements:

At least 3 years of production experience with:

• Kubernetes - we are looking for an engineer who not only deploys applications to a cluster, but also understands what is happening behind the scenes and can operate 24x7 production
• GCP (preferred)/AWS/Azure - our solution is built on top of the 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 the ability to make design choices between using cloud-managed solutions versus self-hosted alternatives
• Python/Go - you should be able to read and understand code with confidence, and to review and evaluate AI-generated Python code for correctness, security, and fit. Hands-on coding skills matter less than before, but you should still be able to develop custom tooling when needed, with or without AI assistance

How to know if you are a good fit:

The qualifications outlined below serve as a guide to determine if your skills and experience align with the requirements of this position:

• Independent Delivery : You take a specified maintenance or project task and drive it to completion on your own. AI assistants are a given part of your toolkit, but you always understand and can explain how and why every change was made.
• AI as a Tool, Not a Replacement : You use AI assistants to work faster, not to hand your work over. You understand what the AI produced, question and verify it, and steer it toward the outcome you want rather than accepting whatever it gives you. You stay in control and remain accountable for everything you ship.
• Continuous Learning : You have a keen interest in Kubernetes and related technologies, as demonstrated by your active engagement in reading and staying up to date on 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, which cluster features are enabled or disabled, the cluster version, and the node autoscaling configuration. You have successfully upgraded the …