DevOps Engineer - Kubernetes
Enterprise Bot2 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Support GitOps-based application delivery with Argo CD, Helm charts, and Kubernetes manifests across development, staging, and production clusters.
- Maintain GitLab CI pipelines, container images, and upstream open-source image mirrors in Docker Hub and GCP Artifact Registry, including version upgrades and CVE patching.
- Operate GKE clusters and manage Kubernetes workloads, namespaces, node pools, storage, configuration, and secrets.
- Support ingress and API gateway infrastructure using ingress-nginx, Envoy Gateway, Kong, the Kubernetes Gateway API, and cert-manager.
- Manage secrets synchronization with HashiCorp Vault and the Vault Secrets Operator.
- Configure workload autoscaling with KEDA and Kubernetes-native mechanisms.
- Monitor cluster and application health with Prometheus, Alertmanager, Grafana, exporters, Loki, and Grafana Alloy, and troubleshoot pod, networking, DNS, and storage issues.
- Support PostgreSQL, MongoDB, Redis, Elasticsearch, MinIO, and PocketBase workloads running in Kubernetes.
- Contribute to RBAC, network policies, ClamAV-based scanning, container vulnerability management, backup, disaster recovery, incident response, and compliance documentation.
- Identify repetitive operational work and automate it with Bash, Python, Go, CI/CD pipelines, Terraform, APIs, and Kubernetes-native tooling.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 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.
- Understanding of Linux administration, Git, Docker, Kubernetes concepts, Helm or Kubernetes YAML, cloud platforms, CI/CD, networking, monitoring, logging, and databases.
- Intermediate scripting ability in Bash and/or Python or Go.
- Familiarity with GCP/GKE, preferably including node pools, Workload Identity, Cloud NAT, and VPC networking.
- Preferred experience includes Argo CD or Flux, Prometheus Operator, kube-prometheus-stack, Loki, Grafana Alloy, Vault, KEDA, cert-manager, Kong, ingress-nginx, OAuth2, OIDC, mTLS, Envoy, Kubernetes Gateway API, operators, CRDs, Terraform, Ansible, OpenShift, and on-premise Kubernetes.
- Strong troubleshooting, problem-solving, learning, and automation skills, with interest in AI/LLM platforms, conversational AI, or MLOps.
Benefits
- Opportunity to work at a rapidly growing AI automation and conversational AI company serving global enterprises.
- Ability to shape solutions with measurable impact for Fortune 500 and leading European enterprise clients.
- Diverse, global, collaborative culture focused on creativity, excellence, and client service.
- Competitive salary and opportunities for further advancement.
- Open-feedback culture, flat hierarchy, and a purpose-driven, challenging, and fun work environment.
Tech Stack
AmbassadorAnsibleArgo CDBashDockerElasticsearchGitGitLab CI/CDGoGoogle Cloud PlatformGrafanaHelmKubernetesLinuxMongoDBNode.jsOpenShiftPostgreSQLPrometheusPythonRedisTerraform
Categories
About Enterprise Bot
Enterprise Bot builds GenAI-powered conversational automation for enterprises, including virtual agents for chat, voice, and email triage, with integrations into Salesforce, Genesys, and BSI. The privately held company sells its software to financial services, transport, and insurance organizations to deflect support, assist agents, and automate back-office workflows. Founded in 2016 and headquartered in Zurich, it serves customers such as Generali, SIX Group, ÖBB, LNER, NS International, and SWICA across Europe and Asia.