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DevOps Engineer – Kubernetes
Enterprise BotDevOps Engineer automating Kubernetes deployments and operations for Enterprise Bot’s conversational AI platform. Supporting GKE, GitOps, CI/CD, monitoring, security, and reliability across enterprise environments.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Kubernetes environments, including application delivery with Argo CD, CI/CD pipeline maintenance, and container orchestration. Proficient in scripting for automation and troubleshooting, with a solid foundation in cloud platforms and monitoring tools.
Highest-signal resume keywords
Kubernetes ManagementArgo CD Application DeliveryCI/CD Pipeline MaintenanceBash ScriptingCloud Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesDockerGitBashPythonHelmGitLab CIPostgreSQLPrometheusTLS Certificate Management
Soft Skills
Problem-SolvingQuick LearningAgile Environment Adaptability
Tools & Technologies
GKEEnvoyKongCert-managerHashiCorp VaultGrafanaAlertmanagerKEDALokiClamAV
Certifications & Qualifications
Bachelor's Degree in Computer ScienceInformation Technology
Industry Keywords
DevOpsCloud EngineeringSRESystem AdministrationInfrastructure Automation
Tech Stack
Tools & technologiesAnsibleCloudDNSDockerElasticSearchFluxGoGoogle Cloud PlatformGrafanaJavaScriptKubernetesLinuxMongoDBNGINXNode.jsOpenShiftPostgresPrometheusPythonRedisTerraformVault
About the role
Key responsibilities & impact- Support GitOps-based application delivery with Argo CD across development, staging, and production clusters
- Manage Argo CD applications, Helm charts, and Kubernetes manifests
- Maintain GitLab CI pipelines for container image builds and upstream OSS image mirrors
- Operate GKE clusters, including workloads, namespaces, storage, secrets, and node pools
- Support ingress and API gateway layers using ingress-nginx, Kubernetes Gateway API, Envoy Gateway, and Kong
- Manage TLS certificate lifecycle with cert-manager
- Assist with HashiCorp Vault and Vault Secrets Operator secrets management
- Configure workload autoscaling with KEDA and Kubernetes-native mechanisms
- Monitor cluster and application health with Prometheus, Alertmanager, Grafana, exporters, Loki, and Grafana Alloy
- Troubleshoot pod, networking, DNS, and storage issues
- Support PostgreSQL, MongoDB, Redis, Elasticsearch, MinIO, and PocketBase workloads
- Contribute to RBAC, network policies, ClamAV file scanning, and container image vulnerability management
- Build infrastructure automation using Bash and Python scripting
- Participate in backup, disaster recovery, and incident response procedures
- Document cluster configurations, deployment runbooks, and operational procedures for audit and compliance requirements
Requirements
What you’ll need- 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
- Solid understanding of Linux system administration fundamentals
- Familiarity with Git and version control workflows
- Ability to identify repetitive operational tasks and automate them using Bash, Python, Go, CI/CD pipelines, Terraform, or Kubernetes-native tooling
- Hands-on Docker experience, including building images, writing Dockerfiles, and managing container lifecycles
- Working knowledge of Kubernetes concepts including Pods, Deployments, StatefulSets, Services, Ingress, ConfigMaps, and Secrets
- Exposure to Helm or Kubernetes YAML manifests
- Familiarity with a cloud platform, preferably GCP/GKE
- Exposure to CI/CD tools, preferably GitLab CI
- Basic knowledge of 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 HTTP/HTTPS, DNS, TLS/SSL certificates, load balancing, and Kubernetes Services/Ingress networking
- Familiarity with monitoring and logging concepts such as Prometheus, Grafana, and Loki
- Preferred exposure to Argo CD or Flux, Prometheus Operator, Loki, Vault, KEDA, cert-manager, Kong, ingress-nginx, OAuth2, OIDC, mTLS, Gateway API, Envoy, Kubernetes operators, CRDs, GKE specifics, Terraform, Ansible, OpenShift, Node.js or Python applications on Kubernetes, AI/LLM platforms, conversational AI, or MLOps
- Strong troubleshooting and problem-solving skills
- Ability to learn quickly in an Agile environment
Benefits
Comp & perks- Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
- Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises
- Diverse, global teams with a passion for collaboration, creativity, and excellence in client service
- Competitive salary
- Scope for further advancement
- Open feedback and flat hierarchy
- Purpose, challenge, and fun work environment