Deep LogicTech - Senior Kubernetes Engineer - Docker/ElasticSearch (10-14 yrs) Bangalore/Delhi (DevOps)
Deep LogicTech Pvt. Ltd
1d ago
source :

Cloud Engineering team, this role will be implementing an enterprise wide Kubernetes platform and a simple / automated Cloud adoption to containers platform to reduce expenses as part of the IT department's mission.

You will be a leader in providing technical guidance and direction for implementation, modernization, enhancements and management of the Kubernetes / Docker CaaS enterprise wide environments.

You will have autonomous control over day-to-day activities allocated to the team as part of agile development of new services.

  • Programming and orchestrating the deployment of feature sets into the Kubernetes Container.
  • Building and configuring Kubernetes-based infrastructure, Core-DNS, Kube Proxy, Ingress, etc.
  • Automating the build of containerized systems with CI / CD tooling, Helm charts, and more.
  • Managing deployments and rollbacks of applications.
  • Implementing monitoring and metrics with Prometheus.
  • Troubleshooting and optimizing containerized workload deployments for clients.
  • Automating operational tasks and assisting in the transition to service ownership models.
  • Collaborating across project teams to simplify and improve software lifecycle processes.
  • Evaluating technical options for meeting user needs and ensuring that system requirements are identified, prioritized, and incorporated in an effective, efficient manner.
  • Performing POC (Proof of Concept) technical evaluations for new technologies for use in the Cloud.
  • Setting technical direction and determining work priorities based on interactions with the Cloud Architecture teams, the Cloud and Software Vendors.
  • Communicating with management and executive leadership to ensure the team's goals and priorities align with the department.
  • Leading problem resolution for business impacting failures and driving the resolution to meet platform service level objectives.
  • This includes assembling resources from existing team members and engaging other engineering resources from peer teams in order to restore service disruptions.

  • Deciding upon the recovery method, establishing the recovery plan and to driving / implementing the recovery plan for the affected platform during the crisis bridge.
  • Performing detailed root cause analysis involving the necessary resources.
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