DevOps Engineer – Kubernetes

Enterprise Bot

Automation-Focused DevOps Engineer supporting deployment, operation, and automation of Kubernetes platform at AI software provider. Work with GitOps processes and cloud-native tooling in a collaborative environment.

Posted 7/23/2026full-timeBengaluru • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Kubernetes management, including application delivery with Argo CD, CI/CD pipeline maintenance, and container orchestration. Proficient in scripting for automation and monitoring, with a solid understanding of cloud platforms and database management.

Highest-signal resume keywords

Kubernetes ManagementArgo CD Application DeliveryCI/CD Pipeline MaintenanceContainerization with DockerScripting in Bash and Python

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Applicant Tracking System Keywords

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Hard Skills

KubernetesDockerGitHelmBash ScriptingPython ScriptingPrometheusGrafanaGitLab CIPostgreSQL

Soft Skills

Automation MindsetProblem-Solving

Tools & Technologies

GKEHashiCorp VaultEnvoyKongLokiGCP Artifact RegistryCI/CD Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation Technology

Industry Keywords

DevOpsCloud EngineeringSRESystem AdministrationSOC 2GDPRISO 27001

Tech Stack

Tools & technologies

CloudDNSDockerElasticSearchGoGoogle Cloud PlatformGrafanaKubernetesLinuxMongoDBNGINXNode.jsPostgresPrometheusPythonRedisTerraformVault

About the role

Key responsibilities & impact

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

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.
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).

Benefits

Comp & perks

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.