DevOps Engineer Kubernetes

Enterprise Bot is the leading provider of GenAI Conversational AI and automation software headquartered in Zurich Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency reduce costs and deliver exceptional customer experiences across industries such as banking insurance and logistics. Our mission is to become the worlds #1 AI-driven automation software provider within the next five years.

We work with leading companies such as the SIX Group (Swiss Stock Exchange) SWICA Generali and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology.

Our global team includes more than 70 highly skilled professionals from diverse backgrounds.

We foster an open progressive company culture with state-of-the-art technology and flat hierarchies. At Enterprise Bot youll experience a unique blend of passion purpose challenge and fun.

Tasks

We are looking for an Automation-Focused DevOps Engineer with 2-3 years of experience to support the deployment operation automation and reliability of our conversational AI platform which runs entirely on Kubernetes. Our workloads run primarily on Google Kubernetes Engine (GKE) on GCP with additional on-premise Kubernetes/OpenShift deployments for enterprise clients in regulated industries.

Our platform is fully GitOps-driven and built on cloud-native open-source tooling. You will work closely with software engineers to keep clusters healthy ship changes safely through Argo CD and ensure smooth secure and reliable software delivery.

A key focus of this role is automation. You will help identify repetitive operational tasks build scripts and automation workflows improve CI/CD and GitOps processes automate infrastructure and Kubernetes operations and reduce manual intervention across deployments and day-to-day platform operations.

This is an excellent opportunity for someone passionate about Kubernetes DevOps automation cloud-native tooling GitOps and Infrastructure as Code (IaC) who wants to grow in a fast-paced AI-driven and compliance-conscious environment.

Key Responsibilities

• Support GitOps-based application delivery with Argo CD (including Dex/OIDC SSO): help manage Argo CD applications Helm charts and Kubernetes manifests across development staging and production clusters.
• Assist in maintaining GitLab CI pipelines that build container images and keep upstream OSS image mirrors up to date in Docker Hub and GCP Artifact Registry (version upgrades CVE patching).
• Help operate GKE clusters day to day: namespaces Deployments StatefulSets DaemonSets CronJobs ConfigMaps and Secrets PersistentVolumes/PVCs and node pools.
• Support the ingress and API gateway layer: ingress-nginx controllers the Kubernetes Gateway API with Envoy-based ingress (Envoy Gateway) including Gateway/HTTPRoute configurations and Kong (hybrid CP/DP mode) with TLS certificate lifecycle managed via cert-manager.
• Assist with secrets management using HashiCorp Vault and the Vault Secrets Operator (syncing Vault secrets into Kubernetes).
• Help configure workload autoscaling with KEDA ScaledObjects and Kubernetes-native mechanisms.
• Monitor cluster and application health using the Prometheus Operator stack (Prometheus Alertmanager Grafana node and blackbox exporters) and centralized logging with Loki and Grafana Alloy; assist in troubleshooting pod networking DNS and storage issues.
• Support stateful data stores running in our clusters PostgreSQL MongoDB Redis Elasticsearch MinIO and PocketBase including their Prometheus exporters and alerting.
• Contribute to platform security operations: RBAC network policies ClamAV-based file scanning and container image vulnerability management.
• Contribute to infrastructure automation using Bash and Python scripting.
• Participate in backup disaster recovery and incident response procedures for cluster workloads.
• Document cluster configurations deployment runbooks and operational procedures supporting audit and compliance requirements (SOC 2 GDPR ISO 27001).

Requirements

Education

• Bachelors degree in Computer Science Information Technology or a related field.

Experience

• 2-3 years of experience in DevOps Cloud Engineering SRE or System Administration.
• Fresh graduates with strong Kubernetes-focused internships home labs or academic projects are encouraged to apply.

Technical Skills

• Solid understanding of Linux system administration fundamentals.
• Familiarity with Git and version control workflows.
• Automation mindset: Ability to identify repetitive operational tasks and automate them using Bash Python Go CI/CD pipelines Terraform or Kubernetes-native tooling.
• Hands-on experience with Docker: building images writing Dockerfiles and managing container lifecycles.
• Working knowledge of core Kubernetes concepts: Pods Deployments StatefulSets Services Ingress ConfigMaps and Secrets this is the core of the role.
• Exposure to Helm or writing Kubernetes YAML manifests.
• Familiarity with at least one cloud platform preferably GCP/GKE.
• Exposure to CI/CD tools preferably GitLab CI.
• Basic knowledge of databases and data stores such as PostgreSQL MongoDB or Redis; exposure to Elasticsearch MinIO or PocketBase is a plus.
• Intermediate scripting skills in Bash and/or Python or Go .
• Understanding of networking fundamentals: HTTP/HTTPS DNS TLS/SSL certificates load balancing and Kubernetes Services/Ingress networking.
• Familiarity with monitoring and logging concepts (Prometheus Grafana Loki or similar).

Preferred Skills

Hands-on exposure to any of the following is a strong plus we dont expect all of them at this level:

• GitOps workflows with Argo CD (or Flux) and app-of-apps / ApplicationSet patterns.
• Strong interest in automation with the ability to identify repetitive operational tasks and automate them using Bash Python Go CI/CD pipelines APIs or Infrastructure as Code.
• The Prometheus Operator / kube-prometheus-stack: ServiceMonitors alerting rules Grafana dashboards.
• Log aggregation with Loki and Grafana Alloy (or equivalent OpenTelemetry collectors).
• Secrets management with HashiCorp Vault or the Vault Secrets Operator.
• Event-driven autoscaling with KEDA.
• cert-manager and TLS certificate automation (Issuers ClusterIssuers ACME).
• API gateways (Kong) and ingress-nginx configuration; authentication concepts such as OAuth2 OIDC and mTLS.
• Familiarity with the Kubernetes Gateway API (GatewayClass Gateway HTTPRoute) and Envoy or Envoy Gateway.
• Understanding of Kubernetes operators and CRDs.
• GKE specifics: node pools Workload Identity Cloud NAT and VPC networking.
• Infrastructure as Code (Terraform) or configuration management (Ansible).
• Exposure to on-premise Kubernetes or OpenShift environments.
• Familiarity with deploying or Python applications on Kubernetes.
• Interest in AI/LLM platforms conversational AI or MLOps.
• Strong troubleshooting and problem-solving skills with the ability to learn quickly in an Agile environment.

Benefits

• Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions used by leading global enterprises.
• Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
• A culture comprised of diverse global teams who have a passion for collaboration creativity and excellence in client service
• A competitive salary and scope for further advancement.
• A great environment that promotes open feedback and a flat hierarchy working at Enterprise Bot is a refreshing mix of purpose challenge and fun.