Engineer II - Techops Cicd Sre - Services Focused (2:00 Pm - 11:00 Pm Ist)

CrowdStrike CrowdStrike · Enterprise · Bangalore, India

Engineer II for TechOps CICD team focused on enterprise services, building and maintaining tooling for automated deployment, management, and operation of CrowdStrike's Production Services. Role involves designing and implementing solutions for production deployments at scale, with exposure to modern infrastructure technologies.

What you'd actually do

  1. Proven service administration experience with: Jenkins with JCASC
  2. Artifact repository services such as: JFrog Artifactory or Nexus
  3. Source control services like Atlassian Bitbucket or Gitlab
  4. Strong experience with service deployments with: Kubernetes (k8s), ArgoCD, Rancher, and FluxCD
  5. IaaS Provisioning tools such as Ansible and Chef

Skills

Required

  • Jenkins with JCASC
  • Artifact repository services such as: JFrog Artifactory or Nexus
  • Source control services like Atlassian Bitbucket or Gitlab
  • Kubernetes (k8s), ArgoCD, Rancher, and FluxCD
  • IaaS Provisioning tools such as Ansible and Chef
  • Python
  • Go
  • Linux in Hybrid Environments
  • monitoring, maintenance, and disaster recovery of critical services
  • high quality documentation

Nice to have

  • 5+ years of administration experience working in a large-scale hybrid production environment
  • Experience using and developing with AI to increase efficiency of existing processes
  • Excellent written and verbal communication skills
  • Proven ability to work effectively with both local and remote teams
  • attention to detail
  • ability to make good, timely decisions and prioritize numerous simultaneous tasks
  • Demonstrate self-learning capabilities, taking initiative in a fast pace/quickly changing environment
  • Security-mindset, general understanding of cybersecurity principles
  • on-prem virtualization
  • networking patterns (Load balancers, DNS, VIPS, Routing, Firewall rules)
  • Database operations knowledge (backup/restore, performance tuning)

What the JD emphasized

  • Experience using and developing with AI to increase efficiency of existing processes