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Devops Engineer-Wipro

5.00 to 10.00 Years   Hyderabad   13 Aug, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

Dear Candidate,Wipro Technologies is looking for Devops Engineer.Please find the Details below:Role: DevOpsEngineerNP: 45 daysLocation: Bangalore ,Hyderabad , Chennai ,PuneSkills required- JD DevOps Engineer

  • 4+ years of professional experience as a DevOps Engineer.
  • Fluent in Python and Python testing best practices
  • Linux development experience & microservice design knowledge
  • Experience working in and advocating for agile environments
  • Extensive experience working withinGCPandassociated DevOps tools
  • Cloud Build
  • Artifact Registry
  • Cloud Operations Suite
  • Kubernetes Engine
  • Jenkins
  • Spinnaker
  • Terraform
  • Docker
  • Strong experience working with automation tooling (Terraform, Ansible,etc)
  • Strong experience with containers (Docker, Compose, Kubernetes)
  • Strong experience with various managed and self-hosted CI/CD tooling (Jenkins,Spinnaker)
  • Strong understanding of DNS, TCPDUMP, CDNS, SSL, Git, Firewalls and networking concepts(VPC, subnetting, VPNs, etc.)
  • Experience deploying microservice architecture, applications, and supporting services
  • Experience working on high-traffic, international systems
  • Familiar with software security best practices
  • Good to have
  • GCP DevOps Certification
  • Understand end to end working of machine learning / AI models Life cycle
  • Experience in leveraging Cloud Functions/Apigee services for AI/ML model consumption and inferences
  • Understands model/data drift concepts and able to define the Model Monitoring pipeline, automated alerts in case of data/model drift
  • Experience working within large-scale decoupled, service-oriented systems a plus
Job Responsibilities
  • Deploy and maintain critical applications on cloud-native microservices architecture
  • Implement automation, effective monitoring, and infrastructure-as-code
  • Deploy and maintain CI/CD pipelines across multiple environments
  • Support and work alongside a cross-functional engineeringteam on the latest technologies
  • Iterate on best practices to increase the quality & velocity of deployments
  • Sustain and improve the process of knowledge sharing throughout the engineering team
  • Have on call responsibilities in rotation with the engineering team
  • Work with Data scientist team to understand the required ML Model automation/versioning requirement
  • Properly articulate the required artifacts from the Data science team to enableautomated modelbuildand deployment pipeline
  • Provision automated framework to trigger model retraining

Keyskills :
gitansiblemavendockerjenkinskubernetesautomationlinuxterraform

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