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CareerNet Technologies Pvt Ltd Logo
Platform Engineering (Kubernetes & Automation)

CareerNet Technologies Pvt Ltd

 

Bengaluru, Karnataka, India

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 2
Category: Platform Engineer
Tenure: No Preference/Any
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Description

Key Skills: Grafana, Prometheus, Containerization (Docker, Kubernetes), Ansible, Kubernetes, Kafka, Helm Chart

Roles and Responsibilities:

  • Design and implement end-to-end containerization strategies for diverse application workloads using Docker, including Dockerfile creation, image optimization, and secure container patterns.
  • Architect, deploy, and manage complex Kubernetes workloads across environments by authoring Kubernetes YAML manifests and building Helm charts for multiple application types.
  • Automate provisioning and deployments using modular, reusable Ansible playbooks and roles with idempotency and environment-ready workflows.
  • Implement Kubernetes security and hardening practices including NetworkPolicies, Istio traffic rules, and secure configuration patterns using ConfigMaps and Secrets.
  • Integrate platform observability using Prometheus and Grafana, and troubleshoot/optimize Kubernetes components such as Ingress, Deployments, StatefulSets, scaling, and networking.

Skills Required:

  • 5 - 8 years of hands-on platform engineering experience with Docker and Kubernetes
  • Containerization using Docker, including building images from scratch with secure build practices (e.g., non-root execution, multistage builds, optimized layers).
  • Kubernetes expertise including core architecture understanding and hands-on workload operations (Deployments vs StatefulSets, PVCs/VolumeMounts, StorageClasses, HPA, probes, resource requests/limits).
  • Helm chart development with templating/parameterization, helpers.tpl usage, conditional resources, and values.yaml structuring for multi-environment deployments.
  • Automation with Ansible playbooks and roles, including Jinja2 templating, inventories/variables, idempotency, and integration into Kubernetes provisioning workflows.
  • Observability with Prometheus and Grafana for monitoring and operational visibility of platform and workloads.

Good to Have:

  • Kafka for integrating messaging/streaming components into platform workflows.

Education:B.E., B.Tech, B.Tech M.Tech (Dual) in any branch

Note: Hiring only female candidats for this role

Education

Any Graduate

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