Key Responsibilities:

AI Platform / Kubernetes Application Engineer
24 years of qualified experience in Kubernetes-based application development, platform engineering, DevOps, or cloud-native software engineering.
Robust hands-on experience developing, containerizing, deploying, and operating applications on Kubernetes or OpenShift.
Proficiency in Python and experience building production-grade APIs and microservices using frameworks such as FastAPI, Flask, or Django.
Strong experience with Docker or Podman, including container image creation, multi-stage builds, image optimization, registry management, and container security practices.
Experience creating and maintaining Kubernetes resources such as Deployments, StatefulSets, Services, Ingress, ConfigMaps, Secrets, Jobs, CronJobs, Persistent Volumes, and Network Policies.
Hands-on experience with Helm, Kustomize, Kubernetes Operators, or similar deployment and configuration-management tools.
Robust understanding of Kubernetes concepts, including pod lifecycle, scheduling, probes, resource requests and limits,



autoscaling, storage, networking, RBAC, and service discovery.
Experience troubleshooting application, container, networking, storage, and resource-related issues in Kubernetes environments.
Practical experience with CI/CD tools such as GitLab CI, Jenkins, Argo CD, Tekton, or GitHub Actions.
Experience implementing GitOps-based deployment and application lifecycle-management practices.
Exposure to observability tools such as Prometheus, Grafana, Loki, Elasticsearch, OpenSearch, or distributed tracing platforms.
Strong understanding of Linux, shell scripting, REST APIs, YAML, Git, networking fundamentals, and secure application configuration.
Experience working with databases and data platforms such as PostgreSQL, MongoDB, Elasticsearch, ClickHouse, Redis, or vector databases.
Experience deploying stateful and stateless applications in enterprise or air-gapped environments is h

📌 Devops Engineer Gurugram
🏢 Airtel
📍 Gurugram