Senior DevOps Engineer

Silicon Valley, CA USA

Responsibilities

  • Expert understanding of running a large-scale virtualized infrastructure in the cloud and on-premise.
  • Utilize troubleshooting and scripting skills to improve the availability, performance, and security of Percipient.ai services.
  • Implement automated deployments, and operational tools.
  • Collaborate with product and engineering teams to plan and deploy product releases.
  • Ensure services are designed with 24/7 availability and operational readiness and rigor.
  • Implement proactive monitoring, alerting, and self-healing systems.
  • Participate in on-call rotations, driving restoration and repair of service-impacting issues.
  • Define non-functional requirements as part of the product lifecycle to influence the new designs, standards, and methods for scalable, highly available distributed systems.
  • Coding and automation of applications in the cloud.
  • Great problem solving skills.
  • Possess excellent interpersonal and communication skills and be a team player.

Minimum Qualifications

  • BS in Computer Science or related field.
  • 8+ years of Systems/Applications automation in 24/7 production services environments.
  • Expertise with containerizing concepts like Docker, PaaS services on AWS, and Kubernetes or equivalent technologies.
  • Fluency with at least one current generation scripting language used by DevOps professionals such as Python, Perl, or Ruby and Java Development.
  • Deep experience operating on AWS.
  • Excellent troubleshooter.
  • Demonstrated experience in analyzing and diagnosing large-scale distributed systems and Linux systems internals (system libraries, file systems, etc.)
  • Experience with elastically scalable, fault tolerance and other cloud architecture patterns
  • Experience with Continuous Integration and Continuous Delivery including tools such as Cloudformation.
  • Experience in Linux and Security triage & forensic analysis.
  • US permanent residency.

Preferred Qualifications

  • All minimum qualifications listed above, plus:
  • M.S. in Computer Science or related field.
  • US Citizenship.
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