Systems Engineer 2

Oracle Oracle · Enterprise · BENGALURU, KARNATAKA, India

Systems Engineer role focused on the operation, maintenance, and optimization of Oracle Cloud Infrastructure (OCI) compute services, including VMs and BMs. Responsibilities include incident management, performance tuning, automation, and ensuring high availability and scalability of production environments. Requires strong Linux administration, scripting, and experience with cloud technologies and CI/CD tools.

What you'd actually do

  1. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services.
  2. Responsible for mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service.
  3. Authority for end-to-end performance and operability.
  4. Partner with development teams in meeting SLA to unblock customers.
  5. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack.

Skills

Required

  • 3+ years overall experience in IT industry
  • Minimum 3 years of experience as a Sys Admin/Support
  • Strong systems architecture skills
  • Strong Linux administration (Understanding of different Hardware family)
  • Virtualisation Technologies
  • Scripting Language (Python/Bash/Shell etc, basic understanding of Java / Go will be good to have)
  • Understanding of Networking, Cloud Computing, Load Balancers
  • Hands on experience at Monitoring/Instrumentation tools (Prometheus/Grafana, new relic, elastic or equivalent).
  • Experience with maintaining high scale deployments, managing high throughput and IO intensive services.
  • Strong knowledge of system configuration tools such as Chef, Terraform, GIT, Jenkins/Hudson, Artifactory
  • Continuous Integration development/deployment, e.g. Docker, Kubernetes

Nice to have

  • basic understanding of Java / Go

What the JD emphasized

  • critical customer incidents
  • production environments
  • complex technical issues
  • high scale deployments
  • high throughput and IO intensive services
  • high availability mindset
  • complex issues